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Ben Romdhane W, Al-Ashkar I, Ibrahim A, Sallam M, Al-Doss A, Hassairi A. Aeluropus littoralis stress-associated protein promotes water deficit resilience in engineered durum wheat. Heliyon 2024; 10:e30933. [PMID: 38765027 PMCID: PMC11097078 DOI: 10.1016/j.heliyon.2024.e30933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 04/30/2024] [Accepted: 05/08/2024] [Indexed: 05/21/2024] Open
Abstract
Global climate change-related water deficit negatively affect the growth, development and yield performance of multiple cereal crops, including durum wheat. Therefore, the improvement of water-deficit stress tolerance in durum wheat varieties in arid and semiarid areas has become imperative for food security. Herein, we evaluated the water deficiency resilience potential of two marker-free transgenic durum wheat lines (AlSAP-lines: K9.3 and K21.3) under well-watered and water-deficit stress conditions at both physiological and agronomic levels. These two lines overexpressed the AlSAP gene, isolated from the halophyte grass Aeluropus littoralis, encoding a stress-associated zinc finger protein containing the A20/AN1 domains. Under well-watered conditions, the wild-type (WT) and both AlSAP-lines displayed comparable performance concerning all the evaluated parameters. Ectopic transgene expression exerted no adverse effects on growth and yield performance of the durum wheat plants. Under water-deficit conditions, no significant differences in the plant height, leaf number, spike length, and spikelet number were observed between AlSAP-lines and WT plants. However, compared to WT, the AlSAP-lines exhibited greater dry matter production, greater flag leaf area, improved net photosynthetic rate, stomatal conductance, and water use efficiency. Notably, the AlSAP-lines displayed 25 % higher grain yield (GY) than the WT plants under water-deficit conditions. The RT-qPCR-based selected stress-related gene (TdDREB1, TdLEA, TdAPX1, and TdBlt101-2) expression analyses indicated stress-related genes enhancement in AlSAP-durum wheat plants under both well-watered and water-deficit conditions, potentially related to the water-deficit resilience. Collectively, our findings support that the ectopic AlSAP expression in durum wheat lines enhances water-deficit resilience ability, thereby potentially compensate for the GY loss in arid and semi-arid regions.
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Affiliation(s)
- Walid Ben Romdhane
- Plant Production Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, 11451 Riyadh, Saudi Arabia
| | - Ibrahim Al-Ashkar
- Plant Production Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, 11451 Riyadh, Saudi Arabia
| | - Abdullah Ibrahim
- Plant Production Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, 11451 Riyadh, Saudi Arabia
| | - Mohammed Sallam
- Plant Production Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, 11451 Riyadh, Saudi Arabia
| | - Abdullah Al-Doss
- Plant Production Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, 11451 Riyadh, Saudi Arabia
| | - Afif Hassairi
- Plant Production Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, 11451 Riyadh, Saudi Arabia
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Brunner SM, Dinglasan E, Baraibar S, Alahmad S, Katsikis C, van der Meer S, Godoy J, Moody D, Smith M, Hickey L, Robinson H. Characterizing stay-green in barley across diverse environments: unveiling novel haplotypes. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:120. [PMID: 38709310 DOI: 10.1007/s00122-024-04612-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 03/23/2024] [Indexed: 05/07/2024]
Abstract
KEY MESSAGE There is variation in stay-green within barley breeding germplasm, influenced by multiple haplotypes and environmental conditions. The positive genetic correlation between stay-green and yield across multiple environments highlights the potential as a future breeding target. Barley is considered one of the most naturally resilient crops making it an excellent candidate to dissect the genetics of drought adaptive component traits. Stay-green, is thought to contribute to drought adaptation, in which the photosynthetic machinery is maintained for a longer period post-anthesis increasing the photosynthetic duration of the plant. In other cereal crops, including wheat, stay-green has been linked to increased yield under water-limited conditions. Utilizing a panel of diverse barley breeding lines from a commercial breeding program we aimed to characterize stay-green in four environments across two years. Spatiotemporal modeling was used to accurately model senescence patterns from flowering to maturity characterizing the variation for stay-green in barley for the first time. Environmental effects were identified, and multi-environment trait analysis was performed for stay-green characteristics during grain filling. A consistently positive genetic correlation was found between yield and stay-green. Twenty-two chromosomal regions with large effect haplotypes were identified across and within environment types, with ten being identified in multiple environments. In silico stacking of multiple desirable haplotypes showed an opportunity to improve the stay-green phenotype through targeted breeding. This study is the first of its kind to model barley stay-green in a large breeding panel and has detected novel, stable and environment specific haplotypes. This provides a platform for breeders to develop Australian barley with custom senescence profiles for improved drought adaptation.
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Affiliation(s)
- Stephanie M Brunner
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia
| | - Eric Dinglasan
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia
| | | | - Samir Alahmad
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia
| | - Christina Katsikis
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia
| | - Sarah van der Meer
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia
| | | | - David Moody
- InterGrain Pty Ltd, Perth, WA, 6163, Australia
| | - Millicent Smith
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia
- School of Agriculture and Food Sustainability, The University of Queensland, Gatton, QLD, Australia
| | - Lee Hickey
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia.
| | - Hannah Robinson
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia.
- InterGrain Pty Ltd, Perth, WA, 6163, Australia.
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Abbai R, Golan G, Longin CFH, Schnurbusch T. Grain yield trade-offs in spike-branching wheat can be mitigated by elite alleles affecting sink capacity and post-anthesis source activity. JOURNAL OF EXPERIMENTAL BOTANY 2024; 75:88-102. [PMID: 37739800 PMCID: PMC10735541 DOI: 10.1093/jxb/erad373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 09/19/2023] [Indexed: 09/24/2023]
Abstract
Introducing variations in inflorescence architecture, such as the 'Miracle-Wheat' (Triticum turgidum convar. compositum (L.f.) Filat.) with a branching spike, has relevance for enhancing wheat grain yield. However, in the spike-branching genotypes, the increase in spikelet number is generally not translated into grain yield advantage because of reduced grains per spikelet and grain weight. Here, we investigated if such trade-offs might be a function of source-sink strength by using 385 recombinant inbred lines developed by intercrossing the spike-branching landrace TRI 984 and CIRNO C2008, an elite durum (T. durum L.) cultivar; they were genotyped using the 25K array. Various plant and spike architectural traits, including flag leaf, peduncle, and spike senescence rate, were phenotyped under field conditions for 2 consecutive years. On chromosome 5AL, we found a new modifier QTL for spike branching, branched headt3 (bht-A3), which was epistatic to the previously known bht-A1 locus. Besides, bht-A3 was associated with more grains per spikelet and a delay in flag leaf senescence rate. Importantly, favourable alleles, viz. bht-A3 and grain protein content (gpc-B1) that delayed senescence, are required to improve grain number and grain weight in the spike-branching genotypes. In summary, achieving a balanced source-sink relationship might minimize grain yield trade-offs in Miracle-Wheat.
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Affiliation(s)
- Ragavendran Abbai
- Research Group Plant Architecture, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, 06466 Seeland, Germany
| | - Guy Golan
- Research Group Plant Architecture, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, 06466 Seeland, Germany
| | - C Friedrich H Longin
- State Plant Breeding Institute, University of Hohenheim, Fruwirthstr. 21, 70599 Stuttgart, Germany
| | - Thorsten Schnurbusch
- Research Group Plant Architecture, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, 06466 Seeland, Germany
- Martin Luther University Halle-Wittenberg, Faculty of Natural Sciences III, Institute of Agricultural and Nutritional Sciences, 06120 Halle, Germany
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Gracia-Romero A, Vatter T, Kefauver SC, Rezzouk FZ, Segarra J, Nieto-Taladriz MT, Aparicio N, Araus JL. Defining durum wheat ideotypes adapted to Mediterranean environments through remote sensing traits. FRONTIERS IN PLANT SCIENCE 2023; 14:1254301. [PMID: 37731983 PMCID: PMC10508639 DOI: 10.3389/fpls.2023.1254301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 08/03/2023] [Indexed: 09/22/2023]
Abstract
An acceleration of the genetic advances of durum wheat, as a major crop for the Mediterranean region, is required, but phenotyping still represents a bottleneck for breeding. This study aims to define durum wheat ideotypes under Mediterranean conditions by selecting the most suitable phenotypic remote sensing traits among different ones informing on characteristics related with leaf pigments/photosynthetic status, crop water status, and crop growth/green biomass. A set of 24 post-green revolution durum wheat cultivars were assessed in a wide set of 19 environments, accounted as the specific combinations of a range of latitudes in Spain, under different management conditions (water regimes and planting dates), through 3 consecutive years. Thus, red-green-blue and multispectral derived vegetation indices and canopy temperature were evaluated at anthesis and grain filling. The potential of the assessed remote sensing parameters alone and all combined as grain yield (GY) predictors was evaluated through random forest regression models performed for each environment and phenological stage. Biomass and plot greenness indicators consistently proved to be reliable GY predictors in all of the environments tested for both phenological stages. For the lowest-yielding environment, the contribution of water status measurements was higher during anthesis, whereas, for the highest-yielding environments, better predictions were reported during grain filling. Remote sensing traits measured during the grain filling and informing on pigment content and photosynthetic capacity were highlighted under the environments with warmer conditions, as the late-planting treatments. Overall, canopy greenness indicators were reported as the highest correlated traits for most of the environments and regardless of the phenological moment assessed. The addition of carbon isotope composition of mature kernels was attempted to increase the accuracies, but only a few were slightly benefited, as differences in water status among cultivars were already accounted by the measurement of canopy temperature.
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Affiliation(s)
- Adrian Gracia-Romero
- Integrative Crop Ecophysiology Group, Plant Physiology Section, Faculty of Biology, University of Barcelona, Barcelona, Spain and AGROTECNIO (Center for Research in Agrotechnology), Lleida, Spain
| | - Thomas Vatter
- Integrative Crop Ecophysiology Group, Plant Physiology Section, Faculty of Biology, University of Barcelona, Barcelona, Spain and AGROTECNIO (Center for Research in Agrotechnology), Lleida, Spain
| | - Shawn C. Kefauver
- Integrative Crop Ecophysiology Group, Plant Physiology Section, Faculty of Biology, University of Barcelona, Barcelona, Spain and AGROTECNIO (Center for Research in Agrotechnology), Lleida, Spain
| | - Fatima Zahra Rezzouk
- Integrative Crop Ecophysiology Group, Plant Physiology Section, Faculty of Biology, University of Barcelona, Barcelona, Spain and AGROTECNIO (Center for Research in Agrotechnology), Lleida, Spain
| | - Joel Segarra
- Integrative Crop Ecophysiology Group, Plant Physiology Section, Faculty of Biology, University of Barcelona, Barcelona, Spain and AGROTECNIO (Center for Research in Agrotechnology), Lleida, Spain
| | | | - Nieves Aparicio
- Agro-technological Institute of Castilla y León (ITACyL), Valladolid, Spain
| | - José Luis Araus
- Integrative Crop Ecophysiology Group, Plant Physiology Section, Faculty of Biology, University of Barcelona, Barcelona, Spain and AGROTECNIO (Center for Research in Agrotechnology), Lleida, Spain
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Taria S, Arora A, Krishna H, Manjunath KK, Meena S, Kumar S, Singh B, Krishna P, Malakondaiah AC, Das R, Alam B, Kumar S, Singh PK. Multivariate analysis and genetic dissection of staygreen and stem reserve mobilisation under combined drought and heat stress in wheat ( Triticum aestivum L.). Front Genet 2023; 14:1242048. [PMID: 37705611 PMCID: PMC10496116 DOI: 10.3389/fgene.2023.1242048] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 08/14/2023] [Indexed: 09/15/2023] Open
Abstract
Introduction: Abiotic stresses significantly reduce crop yield by adversely affecting many physio-biochemical processes. Several physiological traits have been targeted and improved for yield enhancement in limiting environmental conditions. Amongst them, staygreen and stem reserve mobilisation are two important mutually exclusive traits contributing to grain filling under drought and heat stress in wheat. Henceforth, the present study was carried out to identify the QTLs governing these traits and to identify the superiors' lines through multi-trait genotype-ideotype distance index (MGIDI) Methods: A mapping population consisting of 166 recombinant inbred lines (RILs) developed from a cross between HD3086 and HI1500 was utilized in this study. The experiment was laid down in alpha lattice design in four environmental conditions viz. Control, drought, heat and combined stress (heat and drought). Genotyping of parents and RILs was carried out with 35 K Axiom® array (Wheat breeder array). Results and Discussion: Medium to high heritability with a moderate to high correlation between traits was observed. Principal component analysis (PCA) was performed to derive latent variables in the original set of traits and the relationship of these traits with latent variables.From this study, 14 QTLs were identified, out of which 11, 2, and 1 for soil plant analysis development (SPAD) value, leaf senescence rate (LSR), and stem reserve mobilisation efficiency (SRE) respectively. Quantitative trait loci (QTLs) for SPAD value harbored various genes like Dirigent protein 6-like, Protein FATTY ACID EXPORT 3, glucan synthase-3 and Ubiquitin carboxyl-terminal hydrolase, whereas QTLs for LSR were found to contain various genes like aspartyl protease family protein, potassium transporter, inositol-tetrakisphosphate 1-kinase, and DNA polymerase epsilon subunit D-like. Furthermore, the chromosomal region for SRE was found to be associated with serine-threonine protein kinase. Serine-threonine protein kinases are involved in many signaling networks such as ABA mediated ROS signaling and acclimation to environmental stimuli. After the validation of QTLs in multilocation trials, these QTLs can be used for marker-assisted selection (MAS) in breeding programs.
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Affiliation(s)
- Sukumar Taria
- Division of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, India
- ICAR-Central Agroforestry Research Institute, Jhansi, Uttar Pradesh, India
| | - Ajay Arora
- Division of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Hari Krishna
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | | | - Shashi Meena
- Division of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Sudhir Kumar
- Division of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Biswabiplab Singh
- Division of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Pavithra Krishna
- Division of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | | | - Ritwika Das
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Badre Alam
- ICAR-Central Agroforestry Research Institute, Jhansi, Uttar Pradesh, India
| | - Sushil Kumar
- ICAR-Central Agroforestry Research Institute, Jhansi, Uttar Pradesh, India
| | - Pradeep Kumar Singh
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India
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TS A, Srivastava A, Tomar BS, Behera TK, Krishna H, Jain PK, Pandey R, Singh B, Gupta R, Mangal M. Genetic analysis of heat tolerance in hot pepper: insights from comprehensive phenotyping and QTL mapping. FRONTIERS IN PLANT SCIENCE 2023; 14:1232800. [PMID: 37692444 PMCID: PMC10491018 DOI: 10.3389/fpls.2023.1232800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 07/31/2023] [Indexed: 09/12/2023]
Abstract
High temperatures present a formidable challenge to the cultivation of hot pepper, profoundly impacting not only vegetative growth but also leading to flower and fruit abscission, thereby causing a significant reduction in yield. To unravel the intricate genetic mechanisms governing heat tolerance in hot pepper, an F2 population was developed through the crossing of two distinct genotypes exhibiting contrasting heat tolerance characteristics: DLS-161-1 (heat tolerant) and DChBL-240 (heat susceptible). The F2 population, along with the parental lines, was subjected to comprehensive phenotyping encompassing diverse morphological, physiological, and biochemical heat-related traits under high temperature conditions (with maximum temperature ranging from 31 to 46.5°C and minimum temperature from 15.4 to 30.5°C). Leveraging the Illumina Nova Seq-6000 platform, Double digest restriction-site associated DNA sequencing (ddRAD-seq) was employed to generate 67.215 Gb data, with subsequent alignment of 218.93 million processed reads against the reference genome of Capsicum annuum. Subsequent variant calling and ordering resulted in 5806 polymorphic SNP markers grouped into 12 LGs. Further QTL analysis identified 64 QTLs with LOD values ranging from 2.517 to 11.170 and explained phenotypic variance ranging from 4.05 to 19.39%. Among them, 21 QTLs, explaining more than 10% phenotypic variance, were identified as major QTLs controlling 9 morphological, 3 physiological, and 2 biochemical traits. Interestingly, several QTLs governing distinct parameters were found to be colocalized, suggesting either a profound correlation between the QTLs regulating these traits or their significant genomic proximity. In addition to the QTLs, we also identified 368380 SSR loci within the identified QTL regions, dinucleotides being the most abundant type (211,381). These findings provide valuable insights into the genetics of heat tolerance in hot peppers. The identified QTLs and SSR markers offer opportunities to develop heat-tolerant varieties, ensuring better crop performance under high-temperature conditions.
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Affiliation(s)
- Aruna TS
- Division of Vegetable Science, Indian Agricultural Research Institute, Indian Council of Agricultural Research (ICAR), New Delhi, India
| | - Arpita Srivastava
- Division of Vegetable Science, Indian Agricultural Research Institute, Indian Council of Agricultural Research (ICAR), New Delhi, India
| | - Bhoopal Singh Tomar
- Division of Vegetable Science, Indian Agricultural Research Institute, Indian Council of Agricultural Research (ICAR), New Delhi, India
| | - Tusar Kanti Behera
- Indian Council of Agricultural Research-Indian Institute of Vegetable Research (IIVR), Indian Council of Agricultural Research (ICAR), Varanasi, India
| | - Hari Krishna
- Division of Genetics, Indian Agricultural Research Institute, Indian Council of Agricultural Research (ICAR), New Delhi, India
| | - Pradeep Kumar Jain
- National Institute of Plant Biotechnology, Indian Council of Agricultural Research (ICAR), New Delhi, India
| | - Renu Pandey
- Division of Plant Physiology, Indian Agricultural Research Institute, Indian Council of Agricultural Research (ICAR), New Delhi, India
| | - Bhupinder Singh
- Division of Environment Science, Indian Agricultural Research Institute, Indian Council of Agricultural Research (ICAR), New Delhi, India
| | - Ruchi Gupta
- Department of Computer Sciences, Jamia Milia Islamia, New Delhi, India
| | - Manisha Mangal
- Division of Vegetable Science, Indian Agricultural Research Institute, Indian Council of Agricultural Research (ICAR), New Delhi, India
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Li Y, Yuan N, Luo S, Yang K, Fang S, Peng Y, Gong Y. Abundance considerations for modeling yield of rapeseed at the flowering stage. FRONTIERS IN PLANT SCIENCE 2023; 14:1188216. [PMID: 37575912 PMCID: PMC10420083 DOI: 10.3389/fpls.2023.1188216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 07/03/2023] [Indexed: 08/15/2023]
Abstract
Introduction To stabilize the edible oil market, it is necessary to determine the oil yield in advance, so the accurate and fast technology of estimating rapeseed yield is of great significance in agricultural production activities. Due to the long flowering time of rapeseed and the characteristics of petal color that are obviously different from other crops, the flowering period can be carefully considered in crop classification and yield estimation. Methods A field experiment was conducted to obtain the unmanned aerial vehicle (UAV) multispectral images. Field measurements consisted of the reflectance of flowers, leaves, and soils at the flowering stage and rapeseed yield at physiological maturity. Moreover, GF-1 and Sentinel-2 satellite images were collected to compare the applicability of yield estimation methods. The abundance of different organs of rapeseed was extracted by the spectral mixture analysis (SMA) technology, which was multiplied by vegetation indices (VIs) respectively to estimate the yield. Results For the UAV-scale, the product of VIs and leaf abundance (AbdLF) was closely related to rapeseed yield, which was better than the VIs models for yield estimation, with the coefficient of determination (R2) above 0.78. The yield estimation models of the product of normalized difference yellowness index (NDYI), enhanced vegetation index (EVI) and AbdLF had the highest accuracy, with the coefficients of variation (CVs) below 10%. For the satellite scale, most of the estimation models of the product of VIs and rapeseed AbdLF were also improved compared with the VIs models. The yield estimation models of the product of AbdLF and renormalized difference VI (RDVI) and EVI (RDVI×AbdLF and EVI×AbdLF) had the steady improvement, with CVs below 13.1%. Furthermore, the yield estimation models of the product of AbdLF and normalized difference VI (NDVI), visible atmospherically resistant index (VARI), RDVI, and EVI had consistent performance at both UAV and satellite scales. Discussion The results showed that considering SMA could improve the limitation of using only VIs to retrieve rapeseed yield at the flowering stage. Our results indicate that the abundance of rapeseed leaves can be a potential indicator of yield prediction during the flowering stage.
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Affiliation(s)
| | | | | | | | | | | | - Yan Gong
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
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Sunilkumar VP, Krishna H, Devate NB, Manjunath KK, Chauhan D, Singh S, Sinha N, Singh JB, T. L. P, Pal D, Sivasamy M, Jain N, Singh GP, Singh PK. Marker-assisted selection for transfer of QTLs to a promising line for drought tolerance in wheat ( Triticum aestivum L.). FRONTIERS IN PLANT SCIENCE 2023; 14:1147200. [PMID: 37546261 PMCID: PMC10401266 DOI: 10.3389/fpls.2023.1147200] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 06/27/2023] [Indexed: 08/08/2023]
Abstract
Wheat crop is subjected to various biotic and abiotic stresses, which affect crop productivity and yield. Among various abiotic stresses, drought stress is a major problem considering the current global climate change scenario. A high-yielding wheat variety, HD3086, has been released for commercial cultivation under timely sown irrigated conditions for the North Western Plain Zone (NWPZ) and North Eastern Plain Zone NEPZ of India. Presently, HD3086 is one of the highest breeder seed indented wheat varieties and has a stable yield over the years. However, under moisture deficit conditions, its potential yield cannot be achieved. The present study was undertaken to transfer drought-tolerant QTLs in the background of the variety HD3086 using marker-assisted backcross breeding. QTLs governing Biomass (BIO), Canopy Temperature (CT), Thousand Kernel Weight (TKW), Normalized Difference Vegetation Index (NDVI), and Yield (YLD) were transferred to improve performance under moisture deficit conditions. In BC1F1, BC2F1, and BC2F2 generations, the foreground selection was carried out to identify the plants with positive QTLs conferring drought tolerance and linked to traits NDVI, CT, TKW, and yield. The positive homozygous lines for targeted QTLs were advanced from BC2F2 to BC2F4 via the pedigree-based phenotypic selection method. Background analysis was carried out in BC2F5 and obtained 78-91% recovery of the recurrent parent genome in the improved lines. Furthermore, the advanced lines were evaluated for 2 years under drought stress to assess improvement in MABB-derived lines. Increased GWPS, TKW, and NDVI and reduced CT was observed in improved lines. Seven improved lines were identified with significantly higher yields in comparison to HD3086 under stress conditions.
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Affiliation(s)
| | - Hari Krishna
- Indian Agricultural Research Institute, ICAR, New Delhi, India
| | | | | | - Divya Chauhan
- Indian Agricultural Research Institute, ICAR, New Delhi, India
| | - Shweta Singh
- Indian Agricultural Research Institute, ICAR, New Delhi, India
| | - Nivedita Sinha
- Indian Agricultural Research Institute, ICAR, New Delhi, India
| | | | - Prakasha T. L.
- Indian Agricultural Research Institute, ICAR, New Delhi, India
| | - Dharam Pal
- Indian Agricultural Research Institute, ICAR, New Delhi, India
| | - M. Sivasamy
- Indian Agricultural Research Institute, ICAR, New Delhi, India
| | - Neelu Jain
- Indian Agricultural Research Institute, ICAR, New Delhi, India
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Roychowdhury R, Das SP, Gupta A, Parihar P, Chandrasekhar K, Sarker U, Kumar A, Ramrao DP, Sudhakar C. Multi-Omics Pipeline and Omics-Integration Approach to Decipher Plant's Abiotic Stress Tolerance Responses. Genes (Basel) 2023; 14:1281. [PMID: 37372461 DOI: 10.3390/genes14061281] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 06/03/2023] [Accepted: 06/14/2023] [Indexed: 06/29/2023] Open
Abstract
The present day's ongoing global warming and climate change adversely affect plants through imposing environmental (abiotic) stresses and disease pressure. The major abiotic factors such as drought, heat, cold, salinity, etc., hamper a plant's innate growth and development, resulting in reduced yield and quality, with the possibility of undesired traits. In the 21st century, the advent of high-throughput sequencing tools, state-of-the-art biotechnological techniques and bioinformatic analyzing pipelines led to the easy characterization of plant traits for abiotic stress response and tolerance mechanisms by applying the 'omics' toolbox. Panomics pipeline including genomics, transcriptomics, proteomics, metabolomics, epigenomics, proteogenomics, interactomics, ionomics, phenomics, etc., have become very handy nowadays. This is important to produce climate-smart future crops with a proper understanding of the molecular mechanisms of abiotic stress responses by the plant's genes, transcripts, proteins, epigenome, cellular metabolic circuits and resultant phenotype. Instead of mono-omics, two or more (hence 'multi-omics') integrated-omics approaches can decipher the plant's abiotic stress tolerance response very well. Multi-omics-characterized plants can be used as potent genetic resources to incorporate into the future breeding program. For the practical utility of crop improvement, multi-omics approaches for particular abiotic stress tolerance can be combined with genome-assisted breeding (GAB) by being pyramided with improved crop yield, food quality and associated agronomic traits and can open a new era of omics-assisted breeding. Thus, multi-omics pipelines together are able to decipher molecular processes, biomarkers, targets for genetic engineering, regulatory networks and precision agriculture solutions for a crop's variable abiotic stress tolerance to ensure food security under changing environmental circumstances.
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Affiliation(s)
- Rajib Roychowdhury
- Department of Plant Pathology and Weed Research, Institute of Plant Protection, Agricultural Research Organization (ARO)-The Volcani Institute, Rishon Lezion 7505101, Israel
| | - Soumya Prakash Das
- School of Bioscience, Seacom Skills University, Bolpur 731236, West Bengal, India
| | - Amber Gupta
- Dr. Vikram Sarabhai Institute of Cell and Molecular Biology, Faculty of Science, Maharaja Sayajirao University of Baroda, Vadodara 390002, Gujarat, India
| | - Parul Parihar
- Department of Biotechnology and Bioscience, Banasthali Vidyapith, Banasthali 304022, Rajasthan, India
| | - Kottakota Chandrasekhar
- Department of Plant Biochemistry and Biotechnology, Sri Krishnadevaraya College of Agricultural Sciences (SKCAS), Affiliated to Acharya N.G. Ranga Agricultural University (ANGRAU), Guntur 522034, Andhra Pradesh, India
| | - Umakanta Sarker
- Department of Genetics and Plant Breeding, Faculty of Agriculture, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh
| | - Ajay Kumar
- Department of Botany, Maharshi Vishwamitra (M.V.) College, Buxar 802102, Bihar, India
| | - Devade Pandurang Ramrao
- Department of Biotechnology, Mizoram University, Pachhunga University College Campus, Aizawl 796001, Mizoram, India
| | - Chinta Sudhakar
- Plant Molecular Biology Laboratory, Department of Botany, Sri Krishnadevaraya University, Anantapur 515003, Andhra Pradesh, India
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10
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Reddy SS, Saini DK, Singh GM, Sharma S, Mishra VK, Joshi AK. Genome-wide association mapping of genomic regions associated with drought stress tolerance at seedling and reproductive stages in bread wheat. FRONTIERS IN PLANT SCIENCE 2023; 14:1166439. [PMID: 37251775 PMCID: PMC10213333 DOI: 10.3389/fpls.2023.1166439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 04/14/2023] [Indexed: 05/31/2023]
Abstract
Understanding the genetic architecture of drought stress tolerance in bread wheat at seedling and reproductive stages is crucial for developing drought-tolerant varieties. In the present study, 192 diverse wheat genotypes, a subset from the Wheat Associated Mapping Initiative (WAMI) panel, were evaluated at the seedling stage in a hydroponics system for chlorophyll content (CL), shoot length (SLT), shoot weight (SWT), root length (RLT), and root weight (RWT) under both drought and optimum conditions. Following that, a genome-wide association study (GWAS) was carried out using the phenotypic data recorded during the hydroponics experiment as well as data available from previously conducted multi-location field trials under optimal and drought stress conditions. The panel had previously been genotyped using the Infinium iSelect 90K SNP array with 26,814 polymorphic markers. Using single as well as multi-locus models, GWAS identified 94 significant marker-trait associations (MTAs) or SNPs associated with traits recorded at the seedling stage and 451 for traits recorded at the reproductive stage. The significant SNPs included several novel, significant, and promising MTAs for different traits. The average LD decay distance for the whole genome was approximately 0.48 Mbp, ranging from 0.07 Mbp (chromosome 6D) to 4.14 Mbp (chromosome 2A). Furthermore, several promising SNPs revealed significant differences among haplotypes for traits such as RLT, RWT, SLT, SWT, and GY under drought stress. Functional annotation and in silico expression analysis revealed important putative candidate genes underlying the identified stable genomic regions such as protein kinases, O-methyltransferases, GroES-like superfamily proteins, NAD-dependent dehydratases, etc. The findings of the present study may be useful for improving yield potential, and stability under drought stress conditions.
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Affiliation(s)
- S Srinatha Reddy
- Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, India
| | - Dinesh Kumar Saini
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - G Mahendra Singh
- Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, India
| | - Sandeep Sharma
- Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, India
| | - Vinod Kumar Mishra
- Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, India
| | - Arun Kumar Joshi
- Borlaug Institute of South Asia (BISA), NASC Complex, DPS Marg, New Delhi, India
- CIMMYT, NASC Complex, DPS Marg, New Delhi, India
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11
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Fu J, Bowden RL, Jagadish SVK, Prasad PVV. Genetic variation for terminal heat stress tolerance in winter wheat. FRONTIERS IN PLANT SCIENCE 2023; 14:1132108. [PMID: 36909445 PMCID: PMC9992403 DOI: 10.3389/fpls.2023.1132108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 01/23/2023] [Indexed: 06/18/2023]
Abstract
In many regions worldwide wheat (Triticum aestivum L.) plants experience terminal high temperature stress during the grain filling stage, which is a leading cause for single seed weight decrease and consequently for grain yield reduction. An approach to mitigate high temperature damage is to develop tolerant cultivars using the conventional breeding approach which involves identifying tolerant lines and then incorporating the tolerant traits in commercial varieties. In this study, we evaluated the terminal heat stress tolerance of 304 diverse elite winter wheat lines from wheat breeding programs in the US, Australia, and Serbia in controlled environmental conditions. Chlorophyll content and yield traits were measured and calculated as the percentage of non-stress control. The results showed that there was significant genetic variation for chlorophyll retention and seed weight under heat stress conditions. The positive correlation between the percent of chlorophyll content and the percent of single seed weight was significant. Two possible mechanisms of heat tolerance during grain filling were proposed. One represented by wheat line OK05723W might be mainly through the current photosynthesis since the high percentage of single seed weight was accompanied with high percentages of chlorophyll content and high shoot dry weight, and the other represented by wheat Line TX04M410164 might be mainly through the relocation of reserves since the high percentage of single seed weight was accompanied with low percentages of chlorophyll content and low shoot dry weight under heat stress. The tolerant genotypes identified in this study should be useful for breeding programs after further validation.
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Affiliation(s)
- Jianming Fu
- Department of Agronomy, 2004 Throckmorton Plant Sciences Center, Kansas State University, Manhattan, KS, United States
| | - Robert L. Bowden
- USDA–ARS Hard Winter Wheat Genetics Research Unit, 4008 Throckmorton Plant Sciences Center, Kansas State University, Manhattan, KS, United States
| | | | - P. V. Vara Prasad
- Department of Agronomy, 2004 Throckmorton Plant Sciences Center, Kansas State University, Manhattan, KS, United States
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12
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Sommer SG, Han E, Li X, Rosenqvist E, Liu F. The Chlorophyll Fluorescence Parameter F v/F m Correlates with Loss of Grain Yield after Severe Drought in Three Wheat Genotypes Grown at Two CO 2 Concentrations. PLANTS (BASEL, SWITZERLAND) 2023; 12:436. [PMID: 36771521 PMCID: PMC9920701 DOI: 10.3390/plants12030436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 12/31/2022] [Accepted: 01/13/2023] [Indexed: 06/18/2023]
Abstract
Three genotypes of wheat grown at two CO2 concentrations were used in a drought experiment, where water was withheld from the pots at anthesis until stomatal conductance (gs) dropped below 10% of the control and photosynthesis (A) approached zero. The genotypes had different leaf area (Gladius < LM19 < LM62) and while photosynthesis and shoot growth were boosted by elevated CO2, the water use and drying rate were more determined by canopy size than by stomatal density and conductance. The genotypes responded differently regarding number of fertile tillers, seeds per spike and 1000 kernel weight and, surprisingly, the largest genotype (LM62) with high water use showed the lowest relative decrease in grain yield. The maximum photochemical efficiency of photosystem II (Fv/Fm) was only affected on the last day of the drought when the stomata were almost closed although some variation in A was still seen between the genotypes. A close correlation was found between Fv/Fm and % loss of grain yield. It indicates that the precise final physiological stress level measured by Fv/Fm at anthesis/early kernel filling could effectively predict percentage final yield loss, and LM62 was slightly less stressed than the other genotypes, due to only a small discrepancy in finalising the drying period. Therefore, Fv/Fm can be used as a proxy for estimating the yield performance of wheat after severe drought at anthesis.
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Affiliation(s)
- Søren Gjedde Sommer
- Department of Plant and Environmental Sciences, Crop Sciences, University of Copenhagen, Højbakkegaard Allé 13, DK-2630 Taastrup, Denmark
- Sino-Danish Center for Education and Research, 380 Huaibeizhuang, Beijing 101400, China
| | - Eusun Han
- Department of Plant and Environmental Sciences, Crop Sciences, University of Copenhagen, Højbakkegaard Allé 13, DK-2630 Taastrup, Denmark
- CSIRO Agriculture and Food, P.O. Box 1700, Canberra, ACT 2601, Australia
| | - Xiangnan Li
- Chinese Academy of Sciences, Northeast Institute of Geography and Agroecology, Changchun 130012, China
| | - Eva Rosenqvist
- Department of Plant and Environmental Sciences, Crop Sciences, University of Copenhagen, Højbakkegaard Allé 13, DK-2630 Taastrup, Denmark
| | - Fulai Liu
- Department of Plant and Environmental Sciences, Crop Sciences, University of Copenhagen, Højbakkegaard Allé 13, DK-2630 Taastrup, Denmark
- Sino-Danish Center for Education and Research, 380 Huaibeizhuang, Beijing 101400, China
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13
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Kumar PKC, Bellundagi A, Krishna H, Mallikarjuna MG, Thimmappa RK, Rai N, Shashikumara P, Sinha N, Jain N, Singh PK, Singh GP, Prabhu KV. Development of bread wheat ( Triticum aestivum L) variety HD3411 following marker-assisted backcross breeding for drought tolerance. Front Genet 2023; 14:1046624. [PMID: 36911407 PMCID: PMC9998906 DOI: 10.3389/fgene.2023.1046624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 02/06/2023] [Indexed: 02/26/2023] Open
Abstract
Marker-assisted backcross breeding enables selective insertion of targeted traits into the genome to improve yield, quality, and stress resistance in wheat. In the current investigation, we transferred four drought tolerance quantitative trait loci (QTLs) controlling traits, viz canopy temperature, normalized difference vegetative index, chlorophyll content, and grain yield from the drought-tolerant donor line, C306, into a popular high-yielding, drought-sensitive variety, HD2733. Marker-assisted selection coupled with stringent phenotypic screening was used to advance each generation. This study resulted in 23 improved lines carrying combinations of four drought tolerance QTLs with a range of 85.35%-95.79% background recovery. The backcross-derived lines gave a higher yield under moisture-deficit stress conditions compared with the recipient parent. They also showed higher phenotypic mean values for physiological traits and stability characteristics of HD2733. A promising genotype, HD3411, derived from this cross was identified for release after national multi-location coordinating trials under the All India Coordinated Wheat Improvement Project. Our study is a prime example of the advantages of precision breeding using integrating markers and phenotypic selection to develop new cultivars with desirable traits like drought tolerance.
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Affiliation(s)
| | | | - Hari Krishna
- ICAR-Indian Agricultural Research Institute, New Delhi, India
| | | | | | - Neha Rai
- ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - P Shashikumara
- ICAR-Indian Grassland and Fodder Research Institute, Jhansi, India
| | - Nivedita Sinha
- ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Neelu Jain
- ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Pradeep K Singh
- ICAR-Indian Agricultural Research Institute, New Delhi, India
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14
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Slafer GA, Foulkes MJ, Reynolds MP, Murchie EH, Carmo-Silva E, Flavell R, Gwyn J, Sawkins M, Griffiths S. A 'wiring diagram' for sink strength traits impacting wheat yield potential. JOURNAL OF EXPERIMENTAL BOTANY 2023; 74:40-71. [PMID: 36334052 PMCID: PMC9786893 DOI: 10.1093/jxb/erac410] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 11/04/2022] [Indexed: 05/17/2023]
Abstract
Identifying traits for improving sink strength is a bottleneck to increasing wheat yield. The interacting processes determining sink strength and yield potential are reviewed and visualized in a set of 'wiring diagrams', covering critical phases of development (and summarizing known underlying genetics). Using this framework, we reviewed and assembled the main traits determining sink strength and identified research gaps and potential hypotheses to be tested for achieving gains in sink strength. In pre-anthesis, grain number could be increased through: (i) enhanced spike growth associated with optimized floret development and/or a reduction in specific stem-internode lengths and (ii) improved fruiting efficiency through an accelerated rate of floret development, improved partitioning between spikes, or optimized spike cytokinin levels. In post-anthesis, grain, sink strength could be augmented through manipulation of grain size potential via ovary size and/or endosperm cell division and expansion. Prospects for improving spike vascular architecture to support all rapidly growing florets, enabling the improved flow of assimilate, are also discussed. Finally, we considered the prospects for enhancing grain weight realization in relation to genetic variation in stay-green traits as well as stem carbohydrate remobilization. The wiring diagrams provide a potential workspace for breeders and crop scientists to achieve yield gains in wheat and other field crops.
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Affiliation(s)
| | | | - Matthew P Reynolds
- International Maize and Wheat Improvement Center (CIMMYT), Km. 45, Carretera Mexico, El Batan, Texcoco, Mexico
| | - Erik H Murchie
- Plant and Crop Sciences, School of Biosciences, University of Nottingham, Leicestershire LE12 5RD, UK
| | | | - Richard Flavell
- International Wheat Yield Partnership, 1500 Research Parkway, College Station, TX 77843, USA
| | - Jeff Gwyn
- International Wheat Yield Partnership, 1500 Research Parkway, College Station, TX 77843, USA
| | - Mark Sawkins
- International Wheat Yield Partnership, 1500 Research Parkway, College Station, TX 77843, USA
| | - Simon Griffiths
- John Innes Centre, Norwich Research Park, Colney Ln, Norwich NR4 7UH, UK
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15
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Mohi-Ud-Din M, Hossain MA, Rohman MM, Uddin MN, Haque MS, Ahmed JU, Abdullah HM, Hossain MA, Pessarakli M. Canopy spectral reflectance indices correlate with yield traits variability in bread wheat genotypes under drought stress. PeerJ 2022; 10:e14421. [PMID: 36452074 PMCID: PMC9703988 DOI: 10.7717/peerj.14421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 10/28/2022] [Indexed: 11/27/2022] Open
Abstract
Drought stress is a major issue impacting wheat growth and yield worldwide, and it is getting worse as the world's climate changes. Thus, selection for drought-adaptive traits and drought-tolerant genotypes are essential components in wheat breeding programs. The goal of this study was to explore how spectral reflectance indices (SRIs) and yield traits in wheat genotypes changed in irrigated and water-limited environments. In two wheat-growing seasons, we evaluated 56 preselected wheat genotypes for SRIs, stay green (SG), canopy temperature depression (CTD), biological yield (BY), grain yield (GY), and yield contributing traits under control and drought stress, and the SRIs and yield traits exhibited higher heritability (H2) across the growing years. Diverse SRIs associated with SG, pigment content, hydration status, and aboveground biomass demonstrated a consistent response to drought and a strong association with GY. Under drought stress, GY had stronger phenotypic correlations with SG, CTD, and yield components than in control conditions. Three primary clusters emerged from the hierarchical cluster analysis, with cluster I (15 genotypes) showing minimal changes in SRIs and yield traits, indicating a relatively higher level of drought tolerance than clusters II (26 genotypes) and III (15 genotypes). The genotypes were appropriately assigned to distinct clusters, and linear discriminant analysis (LDA) demonstrated that the clusters differed significantly. It was found that the top five components explained 73% of the variation in traits in the principal component analysis, and that vegetation and water-based indices, as well as yield traits, were the most important factors in explaining genotypic drought tolerance variation. Based on the current study's findings, it can be concluded that proximal canopy reflectance sensing could be used to screen wheat genotypes for drought tolerance in water-starved environments.
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Affiliation(s)
- Mohammed Mohi-Ud-Din
- Department of Crop Botany, Bangladesh Agricultural University, Mymensingh, Bangladesh,Department of Crop Botany, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh
| | - Md. Alamgir Hossain
- Department of Crop Botany, Bangladesh Agricultural University, Mymensingh, Bangladesh
| | - Md. Motiar Rohman
- Plant Breeding Division, Bangladesh Agricultural Research Institute, Gazipur, Bangladesh
| | - Md. Nesar Uddin
- Department of Crop Botany, Bangladesh Agricultural University, Mymensingh, Bangladesh
| | - Md. Sabibul Haque
- Department of Crop Botany, Bangladesh Agricultural University, Mymensingh, Bangladesh
| | - Jalal Uddin Ahmed
- Department of Crop Botany, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh
| | - Hasan Muhammad Abdullah
- Department of Agroforestry and Environment, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh
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16
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Sunilkumar V, Krishna H, Devate NB, Manjunath KK, Chauhan D, Singh S, Sinha N, Singh JB, Prakasha TL, Pal D, Sivasamy M, Jain N, Singh GP, Singh PK. Marker assisted improvement for leaf rust and moisture deficit stress tolerance in wheat variety HD3086. FRONTIERS IN PLANT SCIENCE 2022; 13:1035016. [PMID: 36352858 PMCID: PMC9638138 DOI: 10.3389/fpls.2022.1035016] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 10/03/2022] [Indexed: 06/16/2023]
Abstract
There is a significant yield reduction in the wheat crop as a result of different biotic and abiotic stresses, and changing climate, among them moisture deficit stress and leaf rust are the major ones affecting wheat worldwide. HD3086 is a high-yielding wheat variety that has been released for commercial cultivation under timely sown irrigated conditions in the Indo-Gangetic plains of India. Variety HD3086 provides a good, stable yield, and it is the choice of millions of farmers in India. It becomes susceptible to the most prevalent pathotypes 77-5 and 77-9 of Puccinia triticina (causing leaf rust) in the production environment and its potential yield cannot be realized under moisture deficit stress. The present study demonstrates the use of a marker-assisted back cross breeding approach to the successful transfer of leaf rust resistance gene Lr24 and QTLs linked to moisture deficit stress tolerance in the background of HD3086. The genotype HI1500 was used as a donor parent that possesses leaf rust-resistant gene Lr24, which confers resistance against the major pathotypes found in the production environment. It possesses inbuilt tolerance under abiotic stresses with superior quality traits. Foreground selection for gene Lr24 and moisture deficit stress tolerance QTLs linked to Canopy temperature (CT), Normal Differential Vegetation Index (NDVI) and Thousand Kernel Weight (TKW) in different generations of the backcrossing and selection. In BC2F2, foreground selection was carried out to identify homozygous lines based on the linked markers and were advanced following pedigree based phenotypic selection. The selected lines were evaluated against P. triticina pathotypes 77-5 and 77-9 under controlled conditions. Recurrent parent recovery of the selected lines ranged from 78-94%. The identified lines were evaluated for their tolerance to moisture stress under field conditions and their resistance to rust under artificial epiphytotic conditions for two years. In BC2F5 generation, eight positive lines for marker alleles were selected which showed resistance to leaf rust and recorded an improvement in component traits of moisture deficit stress tolerance such as CT, NDVI, TKW and yield compared to the recurrent parent HD3086. The derived line is named HD3471 and is nominated for national trials for testing and further release for commercial cultivation.
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Affiliation(s)
- V.P. Sunilkumar
- Division of Genetics, Icar- Indian Agricultural Research Institute, New Delhi, India
| | - Hari Krishna
- Division of Genetics, Icar- Indian Agricultural Research Institute, New Delhi, India
| | - Narayana Bhat Devate
- Division of Genetics, Icar- Indian Agricultural Research Institute, New Delhi, India
| | | | - Divya Chauhan
- Division of Genetics, Icar- Indian Agricultural Research Institute, New Delhi, India
| | - Shweta Singh
- Division of Genetics, Icar- Indian Agricultural Research Institute, New Delhi, India
| | - Nivedita Sinha
- Division of Genetics, Icar- Indian Agricultural Research Institute, New Delhi, India
| | - Jang Bahadur Singh
- Division of Genetics, Icar- Indian Agricultural Research Institute, New Delhi, India
| | - T. L. Prakasha
- Division of Genetics, Icar- Indian Agricultural Research Institute, New Delhi, India
| | - Dharam Pal
- Division of Genetics, Icar- Indian Agricultural Research Institute, New Delhi, India
| | - M. Sivasamy
- Division of Genetics, Icar- Indian Agricultural Research Institute, New Delhi, India
| | - Neelu Jain
- Division of Genetics, Icar- Indian Agricultural Research Institute, New Delhi, India
| | - G. P. Singh
- ICAR-Indian Institute of Wheat and Barley Research, Karnal, India
| | - P. K. Singh
- Division of Genetics, Icar- Indian Agricultural Research Institute, New Delhi, India
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17
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Dong H, Birhan T, Abajebel N, Wakjira M, Mitiku T, Lemke C, Vadez V, Paterson AH, Bantte K. Natural variation further increases resilience of sorghum bred for chronically drought-prone environments. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:5730-5744. [PMID: 35605043 DOI: 10.1093/jxb/erac217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 05/18/2022] [Indexed: 06/15/2023]
Abstract
Drought stress is one of the major constraints for crop production in the Sahel region of Africa. Here, we explore the potential to use natural genetic variation to build on the inherent drought tolerance of an elite sorghum cultivar, Teshale, that has been bred for Ethiopian conditions including chronic drought. We evaluated a backcross nested-association mapping population using 12 diverse founder lines crossed with Teshale under three drought-prone environments in Ethiopia. All 12 populations averaged higher head exsertion and lower leaf senescence than the recurrent parent in the two most stressful environments, reflecting new drought resilience mechanisms from the donors. A total of 154 quantitative trait loci (QTLs) were detected for eight drought-responsive traits, and their validity was supported by the fact that 113 (73.4%) overlapped with QTLs previously detected for the same traits, concentrated in regions previously associated with 'stay-green' traits. Allele effects showed that some favourable alleles are already present in the Ethiopian cultivar; however, the exotic donors offer rich scope for increasing drought resilience. Using model-selected SNPs associated with the eight traits identified in this study and three in a companion study, phenotypic prediction accuracies for grain yield were equivalent to genome-wide SNPs and were significantly better than random SNPs, indicating that the selected traits are predictive of sorghum grain yield.
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Affiliation(s)
- Hongxu Dong
- Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, USA
| | - Techale Birhan
- Department of Horticulture and Plant Science, Jimma University, Ethiopia
| | - Nezif Abajebel
- Department of Horticulture and Plant Science, Jimma University, Ethiopia
| | - Misganu Wakjira
- Department of Horticulture and Plant Science, Jimma University, Ethiopia
| | - Tesfaye Mitiku
- Department of Horticulture and Plant Science, Jimma University, Ethiopia
| | - Cornelia Lemke
- Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, USA
| | | | - Andrew H Paterson
- Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, USA
| | - Kassahun Bantte
- Department of Horticulture and Plant Science, Jimma University, Ethiopia
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18
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Kim D, An S, Kim L, Byeon YM, Lee J, Choi MJ, An YJ. Translocation and chronic effects of microplastics on pea plants (Pisum sativum) in copper-contaminated soil. JOURNAL OF HAZARDOUS MATERIALS 2022; 436:129194. [PMID: 35739724 DOI: 10.1016/j.jhazmat.2022.129194] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 04/24/2022] [Accepted: 05/17/2022] [Indexed: 05/23/2023]
Abstract
Microplastics (MPs) released into soil environments, along with the existing pollutants in soil, may have adverse effects on plants. However, the chronic effects of MPs in soils contaminated with heavy metals on crop plants remain unidentified. This study aimed to investigate the chronic effects of MPs (polystyrene, 20 nm) on the reproductive and nutritional status of pea crop plant (Pisum sativum) grown in Cu- (40 mg/kg) and MP-contaminated soils (40, 20 mg/kg). The crop yield reduced in all groups, with an evident decrease in the complex exposure group (comprising MPs and Cu). Moreover, significant changes in plants were identified regarding the weight, color, amino acids, and protein content of peas. Nutrient content in beans increased by MP exposure in single and complex exposure groups. Cu accumulation did not differ in the presence and absence of MPs. Additionally, MPs that infiltrated into incomplete casparian strips during root formation translocated into aerial parts via the apoplast pathway along the cell walls of the vascular bundle. Therefore, long-term exposure to MPs in soil can significantly affect plants while collective application of Cu and MPs imposed severe damage. The changes in the crop quality and nutrient contents may in turn affect human health through the food chain.
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Affiliation(s)
- Dokyung Kim
- Department of Environmental Health Science, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Korea
| | - Sanghee An
- Department of Environmental Health Science, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Korea
| | - Lia Kim
- Department of Environmental Health Science, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Korea
| | - Yeong Mi Byeon
- Department of Food Science and Biotechnology of Animal Resources, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Korea
| | - Jiseon Lee
- Department of Food Science and Biotechnology of Animal Resources, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Korea
| | - Mi-Jung Choi
- Department of Food Science and Biotechnology of Animal Resources, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Korea
| | - Youn-Joo An
- Department of Environmental Health Science, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Korea.
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19
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Shirdelmoghanloo H, Chen K, Paynter BH, Angessa TT, Westcott S, Khan HA, Hill CB, Li C. Grain-Filling Rate Improves Physical Grain Quality in Barley Under Heat Stress Conditions During the Grain-Filling Period. FRONTIERS IN PLANT SCIENCE 2022; 13:858652. [PMID: 35645996 PMCID: PMC9137397 DOI: 10.3389/fpls.2022.858652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 03/28/2022] [Indexed: 06/15/2023]
Abstract
Heat stress is a primary constraint to Australia's barley production. In addition to impacting grain yield, it adversely affects physical grain quality (weight and plumpness) and market value. The incidence of heat stress during grain filling is rising with global warming. However, breeding for new superior heat-tolerant genotypes has been challenging due to the narrow window of sensitivity, the unpredictable nature of heat stress, and its frequent co-occurrence with drought stress. Greater scientific knowledge regarding traits and mechanisms associated with heat tolerance would help develop more efficient selection methods. Our objective was to assess 157 barley varieties of contrasting genetic backgrounds for various developmental, agro-morphological, and physiological traits to examine the effects of heat stress on physical grain quality. Delayed sowing (i.e., July and August) increased the likelihood of daytime temperatures above 30°C during grain-filling. Supplementary irrigation of field trials ensured a reduced impact of drought stress. Heat tolerance appeared to be the primary factor determining grain plumpness. A wide variation was observed for heat tolerance, particularly among the Australian varieties. Genotypic variation was also observed for grain weight, plumpness, grain growth components, stay-green and stem water-soluble carbohydrates (WSC) content, and mobilisation under normal and delayed sown conditions. Compared to normal sowing, delayed sowing reduced duration of developmental phases, plant height, leaf size, head length, head weight, grain number, plumpness, grain width and thickness, stem WSC content, green leaf area retention, and harvest index (HI), and increased screenings, grain length, grain-filling rate (GFR), WSC mobilisation efficiency (WSCME), and grain protein content. Overall, genotypes with heavier and plumper grains under high temperatures had higher GFR, longer grain-filling duration, longer green leaf area retention, higher WSCME, taller stature, smaller leaf size, greater HI, higher grain weight/plumpness potentials, and earlier flowering. GFR played a significant role in determining barley grain weight and plumpness under heat-stress conditions. Enhancing GFR may provide a new avenue for improving heat tolerance in barley.
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Affiliation(s)
| | - Kefei Chen
- School of Molecular and Life Sciences, Curtin University, Perth, WA, Australia
| | - Blakely H. Paynter
- Department of Primary Industries and Regional Development, Northam, WA, Australia
| | - Tefera Tolera Angessa
- Department of Primary Industries and Regional Development, Perth, WA, Australia
- Western Crop Genetics Alliance, College of Science, Health, Engineering and Education, Murdoch University, Perth, WA, Australia
| | - Sharon Westcott
- Department of Primary Industries and Regional Development, Perth, WA, Australia
- Western Crop Genetics Alliance, College of Science, Health, Engineering and Education, Murdoch University, Perth, WA, Australia
| | - Hammad Aziz Khan
- Department of Primary Industries and Regional Development, Northam, WA, Australia
- Western Crop Genetics Alliance, College of Science, Health, Engineering and Education, Murdoch University, Perth, WA, Australia
| | - Camilla Beate Hill
- Western Crop Genetics Alliance, College of Science, Health, Engineering and Education, Murdoch University, Perth, WA, Australia
| | - Chengdao Li
- Department of Primary Industries and Regional Development, Perth, WA, Australia
- Western Crop Genetics Alliance, College of Science, Health, Engineering and Education, Murdoch University, Perth, WA, Australia
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20
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Shahi D, Guo J, Pradhan S, Khan J, Avci M, Khan N, McBreen J, Bai G, Reynolds M, Foulkes J, Babar MA. Multi-trait genomic prediction using in-season physiological parameters increases prediction accuracy of complex traits in US wheat. BMC Genomics 2022; 23:298. [PMID: 35413795 PMCID: PMC9004054 DOI: 10.1186/s12864-022-08487-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 03/17/2022] [Indexed: 11/10/2022] Open
Abstract
Background Recently genomic selection (GS) has emerged as an important tool for plant breeders to select superior genotypes. Multi-trait (MT) prediction model provides an opportunity to improve the predictive ability of expensive and labor-intensive traits. In this study, we assessed the potential use of a MT genomic prediction model by incorporating two physiological traits (canopy temperature, CT and normalized difference vegetation index, NDVI) to predict 5 complex primary traits (harvest index, HI; grain yield, GY; grain number, GN; spike partitioning index, SPI; fruiting efiiciency, FE) using two cross-validation schemes CV1 and CV2. Results In this study, we evaluated 236 wheat genotypes in two locations in 2 years. The wheat genotypes were genotyped with genotyping by sequencing approach which generated 27,466 SNPs. MT-CV2 (multi-trait cross validation 2) model improved predictive ability by 4.8 to 138.5% compared to ST-CV1(single-trait cross validation 1). However, the predictive ability of MT-CV1 was not significantly different compared to the ST-CV1 model. Conclusions The study showed that the genomic prediction of complex traits such as HI, GN, and GY can be improved when correlated secondary traits (cheaper and easier phenotyping) are used. MT genomic selection could accelerate breeding cycles and improve genetic gain for complex traits in wheat and other crops. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08487-8.
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Affiliation(s)
- Dipendra Shahi
- Department of Agronomy, 3105 McCarty Hall B, Gainesville, FL, 32611, USA
| | - Jia Guo
- Department of Forest Ecosystem and Society, Oregon State University, 3180 SW Jefferson Way, Corvallis, OR, 97331, USA
| | - Sumit Pradhan
- Department of Agronomy, 3105 McCarty Hall B, Gainesville, FL, 32611, USA
| | - Jahangir Khan
- Department of Agronomy, 3105 McCarty Hall B, Gainesville, FL, 32611, USA
| | - Muhsin Avci
- Department of Agronomy, 3105 McCarty Hall B, Gainesville, FL, 32611, USA
| | - Naeem Khan
- Department of Agronomy, 3105 McCarty Hall B, Gainesville, FL, 32611, USA
| | - Jordan McBreen
- Department of Agronomy, 3105 McCarty Hall B, Gainesville, FL, 32611, USA
| | | | - Matthew Reynolds
- CIMMYT International Maize and Wheat Improvement Center (CIMMYT), Km. 45, Carretera Mexico, El Batan, Texcoco, Mexico
| | - John Foulkes
- Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Leicestershire, LE12 5RD, UK
| | - Md Ali Babar
- Department of Agronomy, 3105 McCarty Hall B, Gainesville, FL, 32611, USA.
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21
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Bennani S, Birouk A, Jlibene M, Sanchez-Garcia M, Nsarellah N, Gaboun F, Tadesse W. Drought-Tolerance QTLs Associated with Grain Yield and Related Traits in Spring Bread Wheat. PLANTS (BASEL, SWITZERLAND) 2022; 11:plants11070986. [PMID: 35406966 PMCID: PMC9002858 DOI: 10.3390/plants11070986] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/03/2022] [Accepted: 03/14/2022] [Indexed: 06/12/2023]
Abstract
The present research aims to identify the efficient combination of drought-tolerance selection criteria and associated quantitative trait loci. A panel of 197 bread wheat genotypes was evaluated for yield- and drought-tolerance-related traits in two environments (favorable and semiarid) for 2 years (2015-2016). Grain number, biomass, number of fertile spikes per plant and ground cover exhibited a significant correlation with grain yield and constitute potential secondary selection criteria for yield under drought conditions. About 73 significant marker-trait associations were detected along various chromosomal positions. The markers "wsnp_Ex_Rep_c67786_66472676" and "ExcalibuR_c24593_1217" exhibited important genetic gains associated with yield increase under drought (11 and 7%, respectively). The markers "KukRi_c94792_127" and "wsnp_Ex_c298_580660" showed a significant correlation with grain yield, biomass and grain number and were associated with a significant increase in yield performance at the semiarid site (+6 and +7%, respectively). The ground cover was found associated with grain yield and biomass through the markers "wsnp_Ex_Rep_c67786_66472676" (+11%) and "KukRi_c49927_151" (+10%). One marker "TduRuM_contig25432_1377" on chromosome 5B at 20 cM was consistently correlated with the number of fertile spikes across both environments. Further research should be considered to validate the efficiency of these markers to undertake selection for drought tolerance under various environments and genetic backgrounds.
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Affiliation(s)
- Sahar Bennani
- Plant Breeding and Conservation of Phytogenetic Genetic Resources Department, National Institute of Agricultural Research, Rabat 10101, Morocco;
| | - Ahmed Birouk
- Department of Production, Protection and Biotechnology of Plants, Agronomy and Veterinary Hassan II Institute, Rabat 10101, Morocco;
| | - Mohammed Jlibene
- National Federation of Milling, Casablanca 20000, Morocco; (M.J.); (N.N.)
| | - Miguel Sanchez-Garcia
- Biodiversity and Crop Improvement Program, International Center for Agricultural Research in the Dry Areas, Rabat 10101, Morocco; (M.S.-G.); (W.T.)
| | | | - Fatima Gaboun
- Plant Breeding and Conservation of Phytogenetic Genetic Resources Department, National Institute of Agricultural Research, Rabat 10101, Morocco;
| | - Wuletaw Tadesse
- Biodiversity and Crop Improvement Program, International Center for Agricultural Research in the Dry Areas, Rabat 10101, Morocco; (M.S.-G.); (W.T.)
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22
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Stoy PC, Khan AM, Wipf A, Silverman N, Powell SL. The spatial variability of NDVI within a wheat field: Information content and implications for yield and grain protein monitoring. PLoS One 2022; 17:e0265243. [PMID: 35316290 PMCID: PMC8939815 DOI: 10.1371/journal.pone.0265243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 02/24/2022] [Indexed: 12/05/2022] Open
Abstract
Wheat is a staple crop that is critical for feeding a hungry and growing planet, but its nutritive value has declined as global temperatures have warmed. The price offered to producers depends not only on yield but also grain protein content (GPC), which are often negatively related at the field scale but can positively covary depending in part on management strategies, emphasizing the need to understand their variability within individual fields. We measured yield and GPC in a winter wheat field in Sun River, Montana, USA, and tested the ability of normalized difference vegetation index (NDVI) measurements from an unoccupied aerial vehicle (UAV) on spatial scales of ~10 cm and from Landsat on spatial scales of 30 m to predict them. Landsat observations were poorly related to yield and GPC measurements. A multiple linear model using information from four (three) UAV flyovers was selected as the most parsimonious and predicted 26% (40%) of the variability in wheat yield (GPC). We sought to understand the optimal spatial scale for interpreting UAV observations given that the ~ 10 cm pixels yielded more than 12 million measurements at far finer resolution than the 12 m scale of the harvester. The variance in NDVI observations was “averaged out” at larger pixel sizes but only ~ 20% of the total variance was averaged out at the spatial scale of the harvester on some measurement dates. Spatial averaging to the scale of the harvester also made little difference in the total information content of NDVI fit using Beta distributions as quantified using the Kullback-Leibler divergence. Radially-averaged power spectra of UAV-measured NDVI revealed relatively steep power-law relationships with exponentially less variance at finer spatial scales. Results suggest that larger pixels can reasonably capture the information content of within-field NDVI, but the 30 m Landsat scale is too coarse to describe some of the key features of the field, which are consistent with topography, historic management practices, and edaphic variability. Future research should seek to determine an ‘optimum’ spatial scale for NDVI observations that minimizes effort (and therefore cost) while maintaining the ability of producers to make management decisions that positively impact wheat yield and GPC.
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Affiliation(s)
- Paul C. Stoy
- Department of Biological Systems Engineering, University of Wisconsin–Madison, Madison, WI, United States of America
- Nelson Institute for Environmental Studies, University of Wisconsin–Madison, Madison, WI, United States of America
- * E-mail:
| | - Anam M. Khan
- Nelson Institute for Environmental Studies, University of Wisconsin–Madison, Madison, WI, United States of America
| | - Aaron Wipf
- Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT, United States of America
| | - Nick Silverman
- Adaptive Hydrology LLC, Missoula, MT, United States of America
| | - Scott L. Powell
- Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT, United States of America
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23
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Yang B, Wen X, Wen H, Feng Y, Zhao J, Wu B, Zheng X, Yang C, Yang S, Qiao L, Zheng J. Identification of Genetic Loci Affecting Flag Leaf Chlorophyll in Wheat Grown under Different Water Regimes. Front Genet 2022; 13:832898. [PMID: 35368684 PMCID: PMC8965356 DOI: 10.3389/fgene.2022.832898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 01/25/2022] [Indexed: 11/29/2022] Open
Abstract
Chlorophyll content of the flag leaf is an important trait for drought resistance in wheat under drought stress. Understanding the regulatory mechanism of flag leaf chlorophyll content could accelerate breeding for drought resistance. In this study, we constructed a recombinant inbred line (RIL) population from a cross of drought-sensitive variety DH118 and drought-resistant variety Jinmai 919, and analyzed the chlorophyll contents of flag leaves in six experimental locations/years using the Wheat90K single-nucleotide polymorphism array. A total of 29 quantitative trait loci (QTLs) controlling flag leaf chlorophyll were detected with contributions to phenotypic variation ranging from 4.67 to 23.25%. Twelve QTLs were detected under irrigated conditions and 18 were detected under dryland (drought) conditions. Most of the QTLs detected under the different water regimes were different. Four major QTLs (Qchl.saw-3B.2, Qchl.saw-5A.2, Qchl.saw-5A.3, and Qchl.saw-5B.2) were detected in the RIL population. Qchl.saw-3B.2, possibly more suitable for marker-assisted selection of genotypes adapted to irrigated conditions, was validated by a tightly linked kompetitive allele specific PCR (KASP) marker in a doubled haploid population derived from a different cross. Qchl.saw-5A.3, a novel stably expressed QTL, was detected in the dryland environments and explained up to 23.25% of the phenotypic variation, and has potential for marker-assisted breeding of genotypes adapted to dryland conditions. The stable and major QTLs identified here add valuable information for understanding the genetic mechanism underlying chlorophyll content and provide a basis for molecular marker–assisted breeding.
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Affiliation(s)
- Bin Yang
- Institute of Wheat Research, Shanxi Agricultural University/ State Key Laboratory of Sustainable Dryland Agriculture, Linfen, China
- College of Agricultural Economics and Management, Shanxi Agricultural University, Taiyuan, China
| | - Xiaojie Wen
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hongwei Wen
- Institute of Wheat Research, Shanxi Agricultural University/ State Key Laboratory of Sustainable Dryland Agriculture, Linfen, China
| | - Yanru Feng
- Institute of Crop Science and Resource Conservation (INRES), Crop Science, University of Bonn, Bonn, Germany
- Department of Agronomy and Crop Physiology, Institute for Agronomy and Plant Breeding, Justus Liebig University Giessen, Giessen, Germany
| | - Jiajia Zhao
- Institute of Wheat Research, Shanxi Agricultural University/ State Key Laboratory of Sustainable Dryland Agriculture, Linfen, China
| | - Bangbang Wu
- Institute of Wheat Research, Shanxi Agricultural University/ State Key Laboratory of Sustainable Dryland Agriculture, Linfen, China
| | - Xingwei Zheng
- Institute of Wheat Research, Shanxi Agricultural University/ State Key Laboratory of Sustainable Dryland Agriculture, Linfen, China
| | - Chenkang Yang
- Institute of Wheat Research, Shanxi Agricultural University/ State Key Laboratory of Sustainable Dryland Agriculture, Linfen, China
| | - Sanwei Yang
- College of Agricultural Economics and Management, Shanxi Agricultural University, Taiyuan, China
- *Correspondence: Sanwei Yang, ; Ling Qiao, ; Jun Zheng,
| | - Ling Qiao
- Institute of Wheat Research, Shanxi Agricultural University/ State Key Laboratory of Sustainable Dryland Agriculture, Linfen, China
- *Correspondence: Sanwei Yang, ; Ling Qiao, ; Jun Zheng,
| | - Jun Zheng
- Institute of Wheat Research, Shanxi Agricultural University/ State Key Laboratory of Sustainable Dryland Agriculture, Linfen, China
- *Correspondence: Sanwei Yang, ; Ling Qiao, ; Jun Zheng,
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24
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Touzy G, Lafarge S, Redondo E, Lievin V, Decoopman X, Le Gouis J, Praud S. Identification of QTLs affecting post-anthesis heat stress responses in European bread wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:947-964. [PMID: 34984510 PMCID: PMC8942932 DOI: 10.1007/s00122-021-04008-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 11/23/2021] [Indexed: 05/27/2023]
Abstract
The response of a large panel of European elite wheat varieties to post-anthesis heat stress is influenced by 17 QTL linked to grain weight or the stay-green phenotype. Heat stress is a critical abiotic stress for winter bread wheat (Triticum aestivum L.) especially at the flowering and grain filling stages, limiting its growth and productivity in Europe and elsewhere. The breeding of new high-yield and stress-tolerant wheat varieties requires improved understanding of the physiological and genetic bases of heat tolerance. To identify genomic areas associated with plant and grain characteristics under heat stress, a panel of elite European wheat varieties (N = 199) was evaluated under controlled conditions in 2016 and 2017. A split-plot design was used to test the effects of high temperature for ten days after flowering. Flowering time, leaf chlorophyll content, the number of productive spikes, grain number, grain weight and grain size were measured, and the senescence process was modeled. Using genotyping data from a 280 K SNP chip, a genome-wide association study was carried out to test the main effect of each SNP and the effect of SNP × treatment interaction. Genotype × treatment interactions were mainly observed for grain traits measured on the main shoots and tillers. We identified 10 QTLs associated with the main effect of at least one trait and seven QTLs associated with the response to post-anthesis heat stress. Of these, two main QTLs associated with the heat tolerance of thousand-kernel weight were identified on chromosomes 4B and 6B. These QTLs will be useful for breeders to improve grain yield in environments where terminal heat stress is likely to occur.
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Affiliation(s)
- Gaëtan Touzy
- Arvalis-Institut du Végétal, Biopole Clermont Limagne, 63360, Saint-Beauzire, France
- Centre de Recherche de Chappes, Route d'Ennezat CS90216, 63720, Chappes, France
| | - Stéphane Lafarge
- Centre de Recherche de Chappes, Route d'Ennezat CS90216, 63720, Chappes, France
| | - Elise Redondo
- Centre de Recherche de Chappes, Route d'Ennezat CS90216, 63720, Chappes, France
| | - Vincent Lievin
- Centre de Recherche de Chappes, Route d'Ennezat CS90216, 63720, Chappes, France
| | - Xavier Decoopman
- Centre de Recherche de Chappes, Route d'Ennezat CS90216, 63720, Chappes, France
| | - Jacques Le Gouis
- UMR 1095 GDEC, INRAE, Université Clermont Auvergne, Clermont-Ferrand, France.
| | - Sébastien Praud
- Centre de Recherche de Chappes, Route d'Ennezat CS90216, 63720, Chappes, France
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25
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Moraga F, Alcaíno M, Matus I, Castillo D, del Pozo A. Leaf and Canopy Traits Associated with Stay-Green Expression Are Closely Related to Yield Components of Wheat Genotypes with Contrasting Tolerance to Water Stress. PLANTS (BASEL, SWITZERLAND) 2022; 11:292. [PMID: 35161273 PMCID: PMC8838353 DOI: 10.3390/plants11030292] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/15/2022] [Accepted: 01/18/2022] [Indexed: 06/14/2023]
Abstract
The onset and rate of senescence influence key agronomical traits, including grain yield (GY). Our objective was to assess the relationships between stay-green and GY in a set of fourteen spring bread wheat (Triticum aestivum L.) genotypes with contrasting tolerance to water stress. Based on leaf chlorophyll content index (Chl) and normalized vegetation index (NDVI) measurements, the senescence dynamics at leaf and canopy levels, respectively, were quantified. Parameters describing the dynamics of senescence were examined in glasshouse and field experiments under well-watered (WW) and water-limited (WL) regimes, and they included the following stay-green traits: maximum NDVI or Chl near to anthesis (NDVImax, Chlmax), the senescence rate (SR, rate), the area under curve (AreaNDVI, AreaChl), and the time from anthesis to 10 (tonset), 50 (t50, X50) and 90% (t90) senescence. Our results revealed that specific stay-green traits were significantly different among genotypes and water regimes in both glasshouse and field experiments. GY was positively correlated with ttotal (0.42), tonset (0.62) and NDVIdif (0.63). Under WL, NDVIdif and NDVImax correlated with GY (0.66-0.58), but only t50 correlated with GY under WW (0.62), indicating that phenotyping of stay-green trait is a useful tool for tracking the dynamics of senescence in WW and WL environments.
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Affiliation(s)
- Felipe Moraga
- Centro de Mejoramiento Genético y Fenómica Vegetal, Facultad de Ciencias Agrarias, Universidad de Talca, Talca 3460000, Chile; (F.M.); (M.A.)
- Centro de Biotecnología Vegetal, Facultad de Ciencias de la Vida, Universidad Andrés Bello, Santiago 8370146, Chile
| | - Marta Alcaíno
- Centro de Mejoramiento Genético y Fenómica Vegetal, Facultad de Ciencias Agrarias, Universidad de Talca, Talca 3460000, Chile; (F.M.); (M.A.)
| | - Iván Matus
- CRI-Quilamapu, Instituto de Investigaciones Agropecuarias, Chillán 3800062, Chile; (I.M.); (D.C.)
| | - Dalma Castillo
- CRI-Quilamapu, Instituto de Investigaciones Agropecuarias, Chillán 3800062, Chile; (I.M.); (D.C.)
| | - Alejandro del Pozo
- Centro de Mejoramiento Genético y Fenómica Vegetal, Facultad de Ciencias Agrarias, Universidad de Talca, Talca 3460000, Chile; (F.M.); (M.A.)
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26
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del Pozo A, Jobet C, Matus I, Méndez-Espinoza AM, Garriga M, Castillo D, Elazab A. Genetic Yield Gains and Changes in Morphophysiological-Related Traits of Winter Wheat in Southern Chilean High-Yielding Environments. FRONTIERS IN PLANT SCIENCE 2022; 12:732988. [PMID: 35046968 PMCID: PMC8761861 DOI: 10.3389/fpls.2021.732988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 11/18/2021] [Indexed: 06/14/2023]
Abstract
Both the temperate-humid zone and the southern part of the Mediterranean climate region of Chile are characterized by high wheat productivity. Study objectives were to analyze the yield potential, yield progress, and genetic progress of the winter bread wheat (Triticum aestivum L.) cultivars and changes in agronomic and morphophysiological traits during the past 60 years. Thus, two field experiments: (a) yield potential and (b) yield genetic progress trials were conducted in high-yielding environments of central-southern Chile during the 2018/2019 and 2019/2020 seasons. In addition, yield progress was analyzed using yield historical data of a high-yielding environment from 1957 to 2017. Potential yield trials showed that, at the most favorable sites, grain yield reached ∼20.46 Mg ha-1. The prolonged growing and grain filling period, mild temperatures in December-January, ample water availability, and favorable soil conditions explain this high-potential yield. Yield progress analysis indicated that average grain yield increased from 2.70 Mg ha-1 in 1959 to 12.90 Mg ha-1 in 2017, with a 128.8 kg ha-1 per-year increase due to favorable soil and climatic conditions. For genetic progress trials, genetic gain in grain yield from 1965 to 2019 was 70.20 kg ha-1 (0.49%) per year, representing around 55% of the yield progress. Results revealed that the genetic gains in grain yield were related to increases in biomass partitioning toward reproductive organs, without significant increases in Shoot DW production. In addition, reducing trends in the NDVI, the fraction of intercepted PAR, the intercepted PAR (form emergence to heading), and the RGB-derived vegetation indices with the year of cultivar release were detected. These decreases could be due to the erectophile leaf habit, which enhanced photosynthetic activity, and thus grain yield increased. Also, senescence of bottom canopy leaves (starting from booting) could be involved by decreasing the ability of spectral and RGB-derived vegetation indices to capture the characteristics of green biomass after the booting stage. Contrary, a positive correlation was detected for intercepted PAR from heading to maturity, which could be due to a stay-green mechanism, supported by the trend of positive correlations of Chlorophyll content with the year of cultivar release.
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Affiliation(s)
- Alejandro del Pozo
- Centro de Mejoramiento Genético y Fenómica Vegetal, Facultad de Ciencias Agrarias, Universidad de Talca, Talca, Chile
| | - Claudio Jobet
- CRI-Carillanca, Instituto de Investigaciones Agropecuarias, Temuco, Chile
| | - Iván Matus
- CRI-Quilamapu, Instituto de Investigaciones Agropecuarias, Chillán, Chile
| | - Ana María Méndez-Espinoza
- Centro de Mejoramiento Genético y Fenómica Vegetal, Facultad de Ciencias Agrarias, Universidad de Talca, Talca, Chile
- CRI-Remehue, Instituto de Investigaciones Agropecuarias, Osorno, Chile
| | - Miguel Garriga
- Centro de Mejoramiento Genético y Fenómica Vegetal, Facultad de Ciencias Agrarias, Universidad de Talca, Talca, Chile
- Facultad de Agronomía, Universidad de Concepción, Chillán, Chile
| | - Dalma Castillo
- CRI-Quilamapu, Instituto de Investigaciones Agropecuarias, Chillán, Chile
| | - Abdelhalim Elazab
- Centro de Mejoramiento Genético y Fenómica Vegetal, Facultad de Ciencias Agrarias, Universidad de Talca, Talca, Chile
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Vukasovic S, Alahmad S, Christopher J, Snowdon RJ, Stahl A, Hickey LT. Dissecting the Genetics of Early Vigour to Design Drought-Adapted Wheat. FRONTIERS IN PLANT SCIENCE 2022; 12:754439. [PMID: 35046971 PMCID: PMC8763316 DOI: 10.3389/fpls.2021.754439] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 12/01/2021] [Indexed: 06/14/2023]
Abstract
Due to the climate change and an increased frequency of drought, it is of enormous importance to identify and to develop traits that result in adaptation and in improvement of crop yield stability in drought-prone regions with low rainfall. Early vigour, defined as the rapid development of leaf area in early developmental stages, is reported to contribute to stronger plant vitality, which, in turn, can enhance resilience to erratic drought periods. Furthermore, early vigour improves weed competitiveness and nutrient uptake. Here, two sets of a multi-reference nested association mapping (MR-NAM) population of bread wheat (Triticum aestivum ssp. aestivum L.) were used to investigate early vigour in a rain-fed field environment for 3 years, and additionally assessed under controlled conditions in a greenhouse experiment. The normalised difference vegetation index (NDVI) calculated from red/infrared light reflectance was used to quantify early vigour in the field, revealing a correlation (p < 0.05; r = 0.39) between the spectral measurement and the length of the second leaf. Under controlled environmental conditions, the measured projected leaf area, using a green-pixel counter, was also correlated to the leaf area of the second leaf (p < 0.05; r = 0.38), as well as to the recorded biomass (p < 0.01; r = 0.71). Subsequently, genetic determination of early vigour was tested by conducting a genome-wide association study (GWAS) for the proxy traits, revealing 42 markers associated with vegetation index and two markers associated with projected leaf area. There are several quantitative trait loci that are collocated with loci for plant developmental traits including plant height on chromosome 2D (log10 (P) = 3.19; PVE = 0.035), coleoptile length on chromosome 1B (-log10 (P) = 3.24; PVE = 0.112), as well as stay-green and vernalisation on chromosome 5A (-log10 (P) = 3.14; PVE = 0.115).
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Affiliation(s)
- Stjepan Vukasovic
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University Giessen, Giessen, Germany
| | - Samir Alahmad
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia
| | - Jack Christopher
- Leslie Research Facility, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Toowoomba, QLD, Australia
| | - Rod J. Snowdon
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University Giessen, Giessen, Germany
| | - Andreas Stahl
- Federal Research Centre for Cultivated Plants, Institute for Resistance Research and Stress Tolerance, Julius Kühn-Institute, Quedlinburg, Germany
| | - Lee T. Hickey
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia
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28
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Hassan MA, Yang M, Rasheed A, Tian X, Reynolds M, Xia X, Xiao Y, He Z. Quantifying senescence in bread wheat using multispectral imaging from an unmanned aerial vehicle and QTL mapping. PLANT PHYSIOLOGY 2021; 187:2623-2636. [PMID: 34601616 PMCID: PMC8644761 DOI: 10.1093/plphys/kiab431] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 08/23/2021] [Indexed: 05/21/2023]
Abstract
Environmental stresses from climate change can alter source-sink relations during plant maturation, leading to premature senescence and decreased yields. Elucidating the genetic control of natural variations for senescence in wheat (Triticum aestivum) can be accelerated using recent developments in unmanned aerial vehicle (UAV)-based imaging techniques. Here, we describe the use of UAVs to quantify senescence in wheat using vegetative indices (VIs) derived from multispectral images. We detected senescence with high heritability, as well as its impact on grain yield (GY), in a doubled-haploid population and parent cultivars at various growth time points (TPs) after anthesis in the field. Selecting for slow senescence using a combination of different UAV-based VIs was more effective than using a single ground-based vegetation index. We identified 28 quantitative trait loci (QTL) for vegetative growth, senescence, and GY using a 660K single-nucleotide polymorphism array. Seventeen of these new QTL for VIs from UAV-based multispectral imaging were mapped on chromosomes 2B, 3A, 3D, 5A, 5D, 5B, and 6D; these QTL have not been reported previously using conventional phenotyping methods. This integrated approach allowed us to identify an important, previously unreported, senescence-related locus on chromosome 5D that showed high phenotypic variation (up to 18.1%) for all UAV-based VIs at all TPs during grain filling. This QTL was validated for slow senescence by developing kompetitive allele-specific PCR markers in a natural population. Our results suggest that UAV-based high-throughput phenotyping is advantageous for temporal assessment of the genetics underlying for senescence in wheat.
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Affiliation(s)
- Muhammad Adeel Hassan
- Institute of Crop Sciences, National Wheat Improvement Centre, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
| | - Mengjiao Yang
- Institute of Crop Sciences, National Wheat Improvement Centre, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
| | - Awais Rasheed
- Institute of Crop Sciences, National Wheat Improvement Centre, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
- International Maize and Wheat Improvement Centre (CIMMYT) China Office, c/o CAAS, Beijing 100081, China
- Deparment of Plant Science, Quaid-i-Azam University Islamabad 44000, Pakistan
| | - Xiuling Tian
- Institute of Crop Sciences, National Wheat Improvement Centre, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
| | - Matthew Reynolds
- Global Wheat Program, International Maize and Wheat Improvement Centre (CIMMYT), Mexico DF 06600, Mexico
| | - Xianchun Xia
- Institute of Crop Sciences, National Wheat Improvement Centre, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
| | - Yonggui Xiao
- Institute of Crop Sciences, National Wheat Improvement Centre, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
- Author for communication:
| | - Zhonghu He
- Institute of Crop Sciences, National Wheat Improvement Centre, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
- International Maize and Wheat Improvement Centre (CIMMYT) China Office, c/o CAAS, Beijing 100081, China
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Mohd Razali S, Radzi MA, Marin A, Samdin Z. A bibliometric analysis of tropical mangrove forest land use change from 2010 to 2020. ENVIRONMENT, DEVELOPMENT AND SUSTAINABILITY 2021; 24:11530-11547. [PMID: 34803478 PMCID: PMC8590627 DOI: 10.1007/s10668-021-01935-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 10/27/2021] [Indexed: 06/13/2023]
Abstract
Mangrove land use changes of varied intensities have long been a problem in tropical mangrove forests. This has resulted in various degrees of mangrove land use modification, which catch many interests in the region for research. The research provided here is a bibliometric analysis of scholarly articles published around the world in various publication document types on changes in land use of tropical mangrove forests based on remote sensing and Geographical Information System (GIS). Scientific data analysis was undertaken by using bibliometric approaches on 6,574 papers extracted from the Scopus databases between 2010 and 2020. The findings revealed that the number of publications continuously climbed from under 400 to an average of 50-60 per year till 2019. The data showed that the mangrove forest modifications study gained traction when the highest number of citations, 9,236 in 2015, were observed. We can also notice that the overall number of citations fluctuated a lot during the first five years (2010-2015) but increased from 2013 to 2015. The findings demonstrate how remote sensing satellites have aided vegetation and land study in recent years. The findings also revealed that the analysis tools of Land Use Change, Vegetation Index, Mangrove, Tropical Country, Remote Sensing, and Tropical contributed to scientific knowledge of current issues of mangrove land use change in the tropical region. The authors' keywords, Remote Sensing in particular, supplied roughly 43%, Normalized Difference Vegetation Index (13%), Vegetation Index (9%), and other keywords contributed less than 7%. The growth pattern of the keywords "MODIS" and "Landsat" implies that both will stay important over the next five years, according to an analysis of the type of satellite used in land use assessment. Meanwhile, papers pertaining to policy on land use change, food security, and forest resources were evaluated in order to highlight policy and academic research findings on the topics. The application of the Normalized Difference Vegetation Index, which is a very relevant tool that can be used in monitoring land use changes and assessing vegetation status because it is a desirable technique in measuring plant health and vigour, can help fill the research gaps presented in this study. This review can help with the development of better mangrove land use change approaches in tropical mangroves and around the world using satellite remote sensing and GIS.
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Affiliation(s)
- Sheriza Mohd Razali
- Institute of Tropical Forestry and Forest Products (INTROP), Universiti Putra Malaysia, UPM, 43400 Serdang, Selangor Malaysia
| | - Maizatul Azwa Radzi
- Institute of Tropical Forestry and Forest Products (INTROP), Universiti Putra Malaysia, UPM, 43400 Serdang, Selangor Malaysia
| | - Arnaldo Marin
- Departamento de Ecología e Hidrología, Facultad de Biología, Universidad de Murcia, Campus de Espinardo, 30003 Murcia, Spain
| | - Zaiton Samdin
- Institute of Tropical Forestry and Forest Products (INTROP), Universiti Putra Malaysia, UPM, 43400 Serdang, Selangor Malaysia
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Schaller J, Scherwietes E, Gerber L, Vaidya S, Kaczorek D, Pausch J, Barkusky D, Sommer M, Hoffmann M. Silica fertilization improved wheat performance and increased phosphorus concentrations during drought at the field scale. Sci Rep 2021; 11:20852. [PMID: 34675299 PMCID: PMC8531131 DOI: 10.1038/s41598-021-00464-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 10/05/2021] [Indexed: 12/03/2022] Open
Abstract
Drought and the availability of mineable phosphorus minerals used for fertilization are two of the important issues agriculture is facing in the future. High phosphorus availability in soils is necessary to maintain high agricultural yields. Drought is one of the major threats for terrestrial ecosystem performance and crop production in future. Among the measures proposed to cope with the upcoming challenges of intensifying drought stress and to decrease the need for phosphorus fertilizer application is the fertilization with silica (Si). Here we tested the importance of soil Si fertilization on wheat phosphorus concentration as well as wheat performance during drought at the field scale. Our data clearly showed a higher soil moisture for the Si fertilized plots. This higher soil moisture contributes to a better plant performance in terms of higher photosynthetic activity and later senescence as well as faster stomata responses ensuring higher productivity during drought periods. The plant phosphorus concentration was also higher in Si fertilized compared to control plots. Overall, Si fertilization or management of the soil Si pools seem to be a promising tool to maintain crop production under predicted longer and more serve droughts in the future and reduces phosphorus fertilizer requirements.
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Affiliation(s)
- Jörg Schaller
- "Silicon Biogeochemistry" Working Group, Leibniz Centre for Agricultural Landscape Research (ZALF), 15374, Müncheberg, Germany.
| | | | - Lukas Gerber
- University of Bayreuth, 95440, Bayreuth, Germany
| | - Shrijana Vaidya
- "Isotope Biogeochemistry and Gas Fluxes" Working Group, Leibniz Centre for Agricultural Landscape Research (ZALF), 15374, Müncheberg, Germany
| | - Danuta Kaczorek
- "Landscape Pedology" Working Group, Leibniz Centre for Agricultural Landscape Research (ZALF), 15374, Müncheberg, Germany
| | | | - Dietmar Barkusky
- "Experimental Infrastructure Platform", Leibniz Centre for Agricultural Landscape Research (ZALF), 15374, Müncheberg, Germany
| | - Michael Sommer
- "Silicon Biogeochemistry" Working Group, Leibniz Centre for Agricultural Landscape Research (ZALF), 15374, Müncheberg, Germany.,Institute of Geography and Environmental Science, University of Potsdam, 14476, Potsdam, Germany
| | - Mathias Hoffmann
- "Isotope Biogeochemistry and Gas Fluxes" Working Group, Leibniz Centre for Agricultural Landscape Research (ZALF), 15374, Müncheberg, Germany
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Abstract
Currently, the world is facing high competition and market risks in improving yield, crop illness, and crop water stress. This could potentially be addressed by technological advancements in the form of precision systems, improvements in production, and through ensuring the sustainability of development. In this context, remote-sensing systems are fully equipped to address the complex and technical assessment of crop production, security, and crop water stress in an easy and efficient way. They provide simple and timely solutions for a diverse set of ecological zones. This critical review highlights novel methods for evaluating crop water stress and its correlation with certain measurable parameters, investigated using remote-sensing systems. Through an examination of previous literature, technologies, and data, we review the application of remote-sensing systems in the analysis of crop water stress. Initially, the study presents the relationship of relative water content (RWC) with equivalent water thickness (EWT) and soil moisture crop water stress. Evapotranspiration and sun-induced chlorophyll fluorescence are then analyzed in relation to crop water stress using remote sensing. Finally, the study presents various remote-sensing technologies used to detect crop water stress, including optical sensing systems, thermometric sensing systems, land-surface temperature-sensing systems, multispectral (spaceborne and airborne) sensing systems, hyperspectral sensing systems, and the LiDAR sensing system. The study also presents the future prospects of remote-sensing systems in analyzing crop water stress and how they could be further improved.
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32
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Ullah S, Trethowan R, Bramley H. The Physiological Basis of Improved Heat Tolerance in Selected Emmer-Derived Hexaploid Wheat Genotypes. FRONTIERS IN PLANT SCIENCE 2021; 12:739246. [PMID: 34707628 PMCID: PMC8544522 DOI: 10.3389/fpls.2021.739246] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 08/30/2021] [Indexed: 06/13/2023]
Abstract
Wheat is sensitive to high-temperature stress with crop development significantly impaired depending on the severity and timing of stress. Various physiological mechanisms have been identified as selection targets for heat tolerance; however, the complex nature of the trait and high genotype × temperature interaction limits the selection process. A three-tiered phenotyping strategy was used to overcome this limitation by using wheat genotypes developed from the ancient domesticated wheat, emmer (Triticum dicoccon Schrank), which was considered to have a wide variation for abiotic stress tolerance. A contrasting pair of emmer-based hexaploid lines (classified as tolerant; G1 and susceptible; G2) developed from a backcross to the same recurrent hexaploid parent was chosen based on heat stress responses in the field and was evaluated under controlled glasshouse conditions. The same pair of contrasting genotypes was also subsequently exposed to a short period of elevated temperature (4 days) at anthesis under field conditions using in-field temperature-controlled chambers. The glasshouse and field-based heat chambers produced comparable results. G1 was consistently better adapted to both extended and short periods of heat stress through slow leaf senescence under heat stress, which extended the grain filling period, increased photosynthetic capacity, increased grain filling rates, and resulted in greater kernel weight and higher yield. The use of a combination of phenotyping methods was effective in identifying heat tolerant materials and the mechanisms involved.
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Affiliation(s)
- Smi Ullah
- School of Life and Environmental Sciences, Plant Breeding Institute, Sydney Institute of Agriculture, The University of Sydney, Narrabri, NSW, Australia
| | - Richard Trethowan
- School of Life and Environmental Sciences, Plant Breeding Institute, Sydney Institute of Agriculture, The University of Sydney, Narrabri, NSW, Australia
- School of Life and Environmental Sciences, Plant Breeding Institute, Sydney Institute of Agriculture, University of Sydney, Cobbitty, NSW, Australia
| | - Helen Bramley
- School of Life and Environmental Sciences, Plant Breeding Institute, Sydney Institute of Agriculture, The University of Sydney, Narrabri, NSW, Australia
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33
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Rufo R, López A, Lopes MS, Bellvert J, Soriano JM. Identification of Quantitative Trait Loci Hotspots Affecting Agronomic Traits and High-Throughput Vegetation Indices in Rainfed Wheat. FRONTIERS IN PLANT SCIENCE 2021; 12:735192. [PMID: 34616417 PMCID: PMC8489662 DOI: 10.3389/fpls.2021.735192] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 08/20/2021] [Indexed: 06/13/2023]
Abstract
Understanding the genetic basis of agronomic traits is essential for wheat breeding programs to develop new cultivars with enhanced grain yield under climate change conditions. The use of high-throughput phenotyping (HTP) technologies for the assessment of agronomic performance through drought-adaptive traits opens new possibilities in plant breeding. HTP together with a genome-wide association study (GWAS) mapping approach can be a useful method to dissect the genetic control of complex traits in wheat to enhance grain yield under drought stress. This study aimed to identify molecular markers associated with agronomic and remotely sensed vegetation index (VI)-related traits under rainfed conditions in bread wheat and to use an in silico candidate gene (CG) approach to search for upregulated CGs under abiotic stress. The plant material consisted of 170 landraces and 184 modern cultivars from the Mediterranean basin. The collection was phenotyped for agronomic and VI traits derived from multispectral images over 3 and 2 years, respectively. The GWAS identified 2,579 marker-trait associations (MTAs). The quantitative trait loci (QTL) overview index statistic detected 11 QTL hotspots involving more than one trait in at least 2 years. A CG analysis detected 12 CGs upregulated under abiotic stress in six QTL hotspots and 46 downregulated CGs in 10 QTL hotspots. The current study highlights the utility of VI to identify chromosome regions that contribute to yield and drought tolerance under rainfed Mediterranean conditions.
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Affiliation(s)
- Rubén Rufo
- Sustainable Field Crops Programme, Institute for Food and Agricultural Research and Technology (IRTA), Lleida, Spain
| | - Andrea López
- Sustainable Field Crops Programme, Institute for Food and Agricultural Research and Technology (IRTA), Lleida, Spain
| | - Marta S. Lopes
- Sustainable Field Crops Programme, Institute for Food and Agricultural Research and Technology (IRTA), Lleida, Spain
| | - Joaquim Bellvert
- Efficient Use of Water in Agriculture Program, Institute for Food and Agricultural Research and Technology (IRTA), Parc Científici TecnològicAgroalimentari de Gardeny (PCiTAL), Fruitcentre, Lleida, Spain
| | - Jose M. Soriano
- Sustainable Field Crops Programme, Institute for Food and Agricultural Research and Technology (IRTA), Lleida, Spain
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Reynolds MP, Lewis JM, Ammar K, Basnet BR, Crespo-Herrera L, Crossa J, Dhugga KS, Dreisigacker S, Juliana P, Karwat H, Kishii M, Krause MR, Langridge P, Lashkari A, Mondal S, Payne T, Pequeno D, Pinto F, Sansaloni C, Schulthess U, Singh RP, Sonder K, Sukumaran S, Xiong W, Braun HJ. Harnessing translational research in wheat for climate resilience. JOURNAL OF EXPERIMENTAL BOTANY 2021; 72:5134-5157. [PMID: 34139769 PMCID: PMC8272565 DOI: 10.1093/jxb/erab256] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 06/14/2021] [Indexed: 05/24/2023]
Abstract
Despite being the world's most widely grown crop, research investments in wheat (Triticum aestivum and Triticum durum) fall behind those in other staple crops. Current yield gains will not meet 2050 needs, and climate stresses compound this challenge. However, there is good evidence that heat and drought resilience can be boosted through translating promising ideas into novel breeding technologies using powerful new tools in genetics and remote sensing, for example. Such technologies can also be applied to identify climate resilience traits from among the vast and largely untapped reserve of wheat genetic resources in collections worldwide. This review describes multi-pronged research opportunities at the focus of the Heat and Drought Wheat Improvement Consortium (coordinated by CIMMYT), which together create a pipeline to boost heat and drought resilience, specifically: improving crop design targets using big data approaches; developing phenomic tools for field-based screening and research; applying genomic technologies to elucidate the bases of climate resilience traits; and applying these outputs in developing next-generation breeding methods. The global impact of these outputs will be validated through the International Wheat Improvement Network, a global germplasm development and testing system that contributes key productivity traits to approximately half of the global wheat-growing area.
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Affiliation(s)
- Matthew P Reynolds
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - Janet M Lewis
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - Karim Ammar
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - Bhoja R Basnet
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | | | - José Crossa
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - Kanwarpal S Dhugga
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | | | - Philomin Juliana
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - Hannes Karwat
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - Masahiro Kishii
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - Margaret R Krause
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - Peter Langridge
- School of Agriculture, Food and Wine, University of Adelaide, Waite Campus, PMB1, Glen Osmond SA 5064, Australia
- Wheat Initiative, Julius Kühn-Institute, Königin-Luise-Str. 19, 14195 Berlin, Germany
| | - Azam Lashkari
- CIMMYT-Henan Collaborative Innovation Center, Henan Agricultural University, Zhengzhou, 450002, PR China
| | - Suchismita Mondal
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - Thomas Payne
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - Diego Pequeno
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - Francisco Pinto
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - Carolina Sansaloni
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - Urs Schulthess
- CIMMYT-Henan Collaborative Innovation Center, Henan Agricultural University, Zhengzhou, 450002, PR China
| | - Ravi P Singh
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | - Kai Sonder
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
| | | | - Wei Xiong
- CIMMYT-Henan Collaborative Innovation Center, Henan Agricultural University, Zhengzhou, 450002, PR China
| | - Hans J Braun
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
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35
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Joukhadar R, Thistlethwaite R, Trethowan R, Keeble-Gagnère G, Hayden MJ, Ullah S, Daetwyler HD. Meta-analysis of genome-wide association studies reveal common loci controlling agronomic and quality traits in a wide range of normal and heat stressed environments. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:2113-2127. [PMID: 33768282 DOI: 10.1007/s00122-021-03809-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 03/01/2021] [Indexed: 06/12/2023]
Abstract
Several stable QTL were detected using metaGWAS analysis for different agronomic and quality traits under 26 normal and heat stressed environments. Heat stress, exacerbated by global warming, has a negative influence on wheat production worldwide and climate resilient cultivars can help mitigate these impacts. Selection decisions should therefore depend on multi-environment experiments representing a range of temperatures at critical stages of development. Here, we applied a meta-genome wide association analysis (metaGWAS) approach to detect stable QTL with significant effects across multiple environments. The metaGWAS was applied to 11 traits scored in 26 trials that were sown at optimal or late times of sowing (TOS1 and TOS2, respectively) at five locations. A total of 2571 unique wheat genotypes (13,959 genotypes across all environments) were included and the analysis conducted on TOS1, TOS2 and both times of sowing combined (TOS1&2). The germplasm was genotyped using a 90 k Infinium chip and imputed to exome sequence level, resulting in 341,195 single nucleotide polymorphisms (SNPs). The average accuracy across all imputed SNPs was high (92.4%). The three metaGWAS analyses revealed 107 QTL for the 11 traits, of which 16 were detected in all three analyses and 23 were detected in TOS1&2 only. The remaining QTL were detected in either TOS1 or TOS2 with or without TOS1&2, reflecting the complex interactions between the environments and the detected QTL. Eight QTL were associated with grain yield and seven with multiple traits. The identified QTL provide an important resource for gene enrichment and fine mapping to further understand the mechanisms of gene × environment interaction under both heat stressed and unstressed conditions.
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Affiliation(s)
- Reem Joukhadar
- Agriculture Victoria, Centre for AgriBioscience, AgriBio, Bundoora, VIC, Australia.
| | - Rebecca Thistlethwaite
- School of Life and Environmental Sciences, Plant Breeding Institute, Sydney Institute of Agriculture, The University of Sydney, Narrabri, NSW, Australia
| | - Richard Trethowan
- School of Life and Environmental Sciences, Plant Breeding Institute, Sydney Institute of Agriculture, The University of Sydney, Narrabri, NSW, Australia
- School of Life and Environmental Sciences, Plant Breeding Institute, Sydney Institute of Agriculture, The University of Sydney, Cobbitty, NSW, Australia
| | | | - Matthew J Hayden
- Agriculture Victoria, Centre for AgriBioscience, AgriBio, Bundoora, VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora, VIC, Australia
| | - Smi Ullah
- School of Life and Environmental Sciences, Plant Breeding Institute, Sydney Institute of Agriculture, The University of Sydney, Narrabri, NSW, Australia
| | - Hans D Daetwyler
- Agriculture Victoria, Centre for AgriBioscience, AgriBio, Bundoora, VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora, VIC, Australia
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Impa SM, Raju B, Hein NT, Sandhu J, Prasad PVV, Walia H, Jagadish SVK. High night temperature effects on wheat and rice: Current status and way forward. PLANT, CELL & ENVIRONMENT 2021; 44:2049-2065. [PMID: 33576033 DOI: 10.1111/pce.14028] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 01/31/2021] [Indexed: 05/25/2023]
Abstract
Rapid increases in minimum night temperature than in maximum day temperature is predicted to continue, posing significant challenges to crop productivity. Rice and wheat are two major staples that are sensitive to high night-temperature (HNT) stress. This review aims to (i) systematically compare the grain yield responses of rice and wheat exposed to HNT stress across scales, and (ii) understand the physiological and biochemical responses that affect grain yield and quality. To achieve this, we combined a synthesis of current literature on HNT effects on rice and wheat with information from a series of independent experiments we conducted across scales, using a common set of genetic materials to avoid confounding our findings with differences in genetic background. In addition, we explored HNT-induced alterations in physiological mechanisms including carbon balance, source-sink metabolite changes and reactive oxygen species. Impacts of HNT on grain developmental dynamics focused on grain-filling duration, post-flowering senescence, changes in grain starch and protein composition, starch metabolism enzymes and chalk formation in rice grains are summarized. Finally, we highlight the need for high-throughput field-based phenotyping facilities for improved assessment of large-diversity panels and mapping populations to aid breeding for increased resilience to HNT in crops.
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Affiliation(s)
- Somayanda M Impa
- Department of Agronomy, Kansas State University, Manhattan, Kansas, USA
| | | | - Nathan T Hein
- Department of Agronomy, Kansas State University, Manhattan, Kansas, USA
| | - Jaspreet Sandhu
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - P V Vara Prasad
- Department of Agronomy, Kansas State University, Manhattan, Kansas, USA
| | - Harkamal Walia
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - S V Krishna Jagadish
- Department of Agronomy, Kansas State University, Manhattan, Kansas, USA
- Sustainable Impact Platform, International Rice Research Institute (IRRI), Metro Manila, Philippines
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37
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Li Y, Hou R, Tao F. Wheat morpho-physiological traits and radiation use efficiency under interactive effects of warming and tillage management. PLANT, CELL & ENVIRONMENT 2021; 44:2386-2401. [PMID: 33131082 DOI: 10.1111/pce.13933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 10/28/2020] [Indexed: 05/02/2023]
Abstract
Understanding the interactive effects of different warming levels and tillage managements on crop morphological and physiological traits and radiation use efficiency (RUE) is essential for breeding climate-resilient cultivars. Here, we conducted temperature free-air controlled enhancement (T-FACE) experiments on winter wheat during two growth seasons in the North China Plain. The experiments consisted of three warming treatments and two tillage treatments (CT: conventional tillage and NT: no-tillage). In the normal season, warming had significant positive effects on major morphological and physiological traits and increased significantly RUE of yield (RUEY ) and biomass (RUEDM ) by 13.3 and 11.3%, 19.3 and 12.4%, 42.3 and 43.7%, respectively, under the treatments of CTT1, CTT2 and NTT1 relative to the control (CTN, NTN). By contrast, in the warmer season, warming had negative effects on leaf width, light extinction coefficient, light-saturated net photosynthetic rate, aboveground, stems and spike biomass and RUE from anthesis to maturity, and consequently grain yield under conventional tillage, but positive effects under no-tillage. Our findings bring new insights into the mechanisms on the interactive effects of warming and tillage treatments on wheat growth and productivity; provide valuable information on crop ideotypic traits for breeding climate-resilient crop cultivars.
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Affiliation(s)
- Yibo Li
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ruixing Hou
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Fulu Tao
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
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38
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de Lima VJ, Gracia-Romero A, Rezzouk FZ, Diez-Fraile MC, Araus-Gonzalez I, Kamphorst SH, do Amaral Júnior AT, Kefauver SC, Aparicio N, Araus JL. Comparative Performance of High-Yielding European Wheat Cultivars Under Contrasting Mediterranean Conditions. FRONTIERS IN PLANT SCIENCE 2021; 12:687622. [PMID: 34267771 PMCID: PMC8276830 DOI: 10.3389/fpls.2021.687622] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 05/24/2021] [Indexed: 06/13/2023]
Abstract
Understanding the interaction between genotype performance and the target environment is the key to improving genetic gain, particularly in the context of climate change. Wheat production is seriously compromised in agricultural regions affected by water and heat stress, such as the Mediterranean basin. Moreover, wheat production may be also limited by the nitrogen availability in the soil. We have sought to dissect the agronomic and physiological traits related to the performance of 12 high-yield European bread wheat varieties under Mediterranean rainfed conditions and different levels of N fertilization during two contrasting crop seasons. Grain yield was more than two times higher in the first season than the second season and was associated with much greater rainfall and lower temperatures. However, the nitrogen effect was rather minor. Genotypic effects existed for the two seasons. While several of the varieties from central/northern Europe yielded more than those from southern Europe during the optimal season, the opposite trend occurred in the dry season. The varieties from central/northern Europe were associated with delayed phenology and a longer crop cycle, while the varieties from southern Europe were characterized by a shorter crop cycle but comparatively higher duration of the reproductive period, associated with an earlier beginning of stem elongation and a greater number of ears per area. However, some of the cultivars from northern Europe maintained a relatively high yield capacity in both seasons. Thus, KWS Siskin from the UK exhibited intermediate phenology, resulting in a relatively long reproductive period, together with a high green area throughout the crop cycle.
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Affiliation(s)
- Valter Jário de Lima
- Laboratório de Melhoramento Genético Vegetal, Centro de Ciências e Tecnologias Agropecuárias (CCTA), Universidade Estadual do Norte Fluminense Darcy Ribeiro – UENF, Campos dos Goytacazes, Brazil
| | - Adrian Gracia-Romero
- Integrative Crop Ecophysiology Group, Plant Physiology Section, Faculty of Biology, University of Barcelona, Barcelona, Spain
- AGROTECNIO (Center for Research in Agrotechnology), Lleida, Spain
| | - Fatima Zahra Rezzouk
- Integrative Crop Ecophysiology Group, Plant Physiology Section, Faculty of Biology, University of Barcelona, Barcelona, Spain
- AGROTECNIO (Center for Research in Agrotechnology), Lleida, Spain
| | | | | | - Samuel Henrique Kamphorst
- Laboratório de Melhoramento Genético Vegetal, Centro de Ciências e Tecnologias Agropecuárias (CCTA), Universidade Estadual do Norte Fluminense Darcy Ribeiro – UENF, Campos dos Goytacazes, Brazil
| | - Antonio Teixeira do Amaral Júnior
- Laboratório de Melhoramento Genético Vegetal, Centro de Ciências e Tecnologias Agropecuárias (CCTA), Universidade Estadual do Norte Fluminense Darcy Ribeiro – UENF, Campos dos Goytacazes, Brazil
| | - Shawn C. Kefauver
- Integrative Crop Ecophysiology Group, Plant Physiology Section, Faculty of Biology, University of Barcelona, Barcelona, Spain
- AGROTECNIO (Center for Research in Agrotechnology), Lleida, Spain
| | - Nieves Aparicio
- Agro-Technological Institute of Castilla and Leon (ITACyL), Valladolid, Spain
| | - Jose Luis Araus
- Integrative Crop Ecophysiology Group, Plant Physiology Section, Faculty of Biology, University of Barcelona, Barcelona, Spain
- AGROTECNIO (Center for Research in Agrotechnology), Lleida, Spain
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Stomatal Traits and Barley ( Hordeum vulgare L.) Forage Yield in Drought Conditions of Northeastern Mexico. PLANTS 2021; 10:plants10071318. [PMID: 34203544 PMCID: PMC8309202 DOI: 10.3390/plants10071318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 06/05/2021] [Accepted: 06/22/2021] [Indexed: 11/16/2022]
Abstract
Infrared technology is a practical, fast, non-destructive method that helps in forecasting plant development and can be used to select physiological traits, instead of other methodologies that require more time and breeding efforts. According to the statistical analyses and the relationship between the direct and indirect effects of the variables, this technology could serve as the basis for implementing a genotype selection methodology. Awnless barley was assessed in a randomized block design with three replicates in two crop seasons at Mexico's northeastern region. Two samplings were carried out during crop development: at 75 and 90 days after sowing. The infrared and stomatal sensors were used to identify the direct and indirect effects of stomata's traits on dry forage yield. The data were analyzed in a subdivided plot design, using mean comparison tests, correlation coefficients and path analyses, finding significant differences (p < 0.05) among localities and among samplings. Dry forage yield was significant and positively correlated with plant height (r = 0.578) and canopy temperature (r = 0.724), and negatively correlated with the leaf upper side stomatal width (r = -0.409) and the leaf lower side stomatal width (r = -0.641), chlorophyll content and vegetation index. Temperature, chlorophyll, density and leaf lower side stomatal index had the strongest direct effects on yield. Therefore, the infrared technology appears as a way to select high yielding awnless forage barley, to obtain the correlation, the positive direct effect of temperature and the negative effect of chlorophyll. Due to their direct effects, low density and low leaf underside stomatal indexes can also help in the indirect selection of higher yielding forage barley genotypes.
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Langridge P, Reynolds M. Breeding for drought and heat tolerance in wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:1753-1769. [PMID: 33715017 DOI: 10.1007/s00122-021-03795-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 02/16/2021] [Indexed: 05/02/2023]
Abstract
Many approaches have been adopted to enhance the heat and drought tolerance of wheat with mixed success. An assessment of the relative merits of different strategies is presented. Wheat is the most widely grown crop globally and plays a key role in human nutrition. However, it is grown in environments that are prone to heat and drought stress, resulting in severely reduced yield in some seasons. Increased climate variability is expected to have a particularly adverse effect of wheat production. Breeding for stable yield across both good and bad seasons while maintaining high yield under optimal conditions is a high priority for most wheat breeding programs and has been a focus of research activities. Multiple strategies have been explored to enhance the heat and drought tolerance of wheat including extensive genetic analysis and modify the expression of genes involved in stress responses, targeting specific physiological traits and direct selection under a range of stress scenarios. These approaches have been combined with improvements in phenotyping, the development of genetic and genomic resources, and extended screening and analysis techniques. The results have greatly expanded our knowledge and understanding of the factors that influence yield under stress, but not all have delivered the hoped-for progress. Here, we provide an overview of the different strategies and an assessment of the most promising approaches.
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Affiliation(s)
- Peter Langridge
- School of Agriculture Food and Wine, University of Adelaide, Glen Osmond, SA, 5064, Australia.
- Wheat Initiative, Julius-Kühn-Institute, 14195, Berlin, Germany.
| | - Matthew Reynolds
- International Maize and Wheat Improvement Centre (CIMMYT), Int. AP 6-641, 06600, Mexico, D.F., Mexico
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Al-Ashkar I, Al-Suhaibani N, Abdella K, Sallam M, Alotaibi M, Seleiman MF. Combining Genetic and Multidimensional Analyses to Identify Interpretive Traits Related to Water Shortage Tolerance as an Indirect Selection Tool for Detecting Genotypes of Drought Tolerance in Wheat Breeding. PLANTS (BASEL, SWITZERLAND) 2021; 10:931. [PMID: 34066929 PMCID: PMC8148561 DOI: 10.3390/plants10050931] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 04/25/2021] [Accepted: 04/28/2021] [Indexed: 12/15/2022]
Abstract
Water shortages have direct adverse effects on wheat productivity and growth worldwide, vertically and horizontally. Productivity may be promoted using water shortage-tolerant wheat genotypes. High-throughput tools have supported plant breeders in increasing the rate of stability of the genetic gain of interpretive traits for wheat productivity through multidimensional technical methods. We used 27 agrophysiological interpretive traits for grain yield (GY) of 25 bread wheat genotypes under water shortage stress conditions for two seasons. Genetic parameters and multidimensional analyses were used to identify genetic and phenotypic variations of the wheat genotypes used, combining these strategies effectively to achieve a balance. Considerable high genotypic variations were observed for 27 traits. Eleven interpretive traits related to GY had combined high heritability (h2 > 60%) and genetic gain (>20%), compared to GY, which showed moderate values both for heritability (57.60%) and genetic gain (16.89%). It was determined that six out of eleven traits (dry leaf weight (DLW), canopy temperature (CT), relative water content (RWC), flag leaf area (FLA), green leaves area (GLA) and leaf area index (LAI)) loaded the highest onto PC1 and PC2 (with scores of >0.27), and five of them had a positive trend with GY, while the CT trait had a negative correlation determined by principal component analysis (PCA). Genetic parameters and multidimensional analyses (PCA, stepwise regression, and path coefficient) showed that CT, RWC, GLA, and LAI were the most important interpretive traits for GY. Selection based on these four interpretive traits might improve genetic gain for GY in environments that are vulnerable to water shortages. The membership index and clustering analysis based on these four traits were significantly correlated, with some deviation, and classified genotypes into five groups. Highly tolerant, tolerant, intermediate, sensitive and highly sensitive clusters represented six, eight, two, three and six genotypes, respectively. The conclusions drawn from the membership index and clustering analysis, signifying that there were clear separations between the water shortage tolerance groups, were confirmed through discriminant analysis. MANOVA indicated that there were considerable variations between the five water shortage tolerance groups. The tolerated genotypes (DHL02, DHL30, DHL26, Misr1, Pavone-76 and DHL08) can be recommended as interesting new genetic sources for water shortage-tolerant wheat breeding programs.
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Affiliation(s)
- Ibrahim Al-Ashkar
- Plant Production Department, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia; (N.A.-S.); (K.A.); (M.S.); (M.A.)
- Agronomy Department, Faculty of Agriculture, Al-Azhar University, Cairo 11651, Egypt
| | - Nasser Al-Suhaibani
- Plant Production Department, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia; (N.A.-S.); (K.A.); (M.S.); (M.A.)
| | - Kamel Abdella
- Plant Production Department, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia; (N.A.-S.); (K.A.); (M.S.); (M.A.)
| | - Mohammed Sallam
- Plant Production Department, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia; (N.A.-S.); (K.A.); (M.S.); (M.A.)
| | - Majed Alotaibi
- Plant Production Department, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia; (N.A.-S.); (K.A.); (M.S.); (M.A.)
| | - Mahmoud F. Seleiman
- Plant Production Department, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia; (N.A.-S.); (K.A.); (M.S.); (M.A.)
- Department of Crop Sciences, Faculty of Agriculture, Menoufia University, Shibin El-Kom 32514, Egypt
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Robles-Zazueta CA, Molero G, Pinto F, Foulkes MJ, Reynolds MP, Murchie EH. Field-based remote sensing models predict radiation use efficiency in wheat. JOURNAL OF EXPERIMENTAL BOTANY 2021; 72:3756-3773. [PMID: 33713415 PMCID: PMC8096595 DOI: 10.1093/jxb/erab115] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 03/10/2021] [Indexed: 05/08/2023]
Abstract
Wheat yields are stagnating or declining in many regions, requiring efforts to improve the light conversion efficiency, known as radiation use efficiency (RUE). RUE is a key trait in plant physiology because it links light capture and primary metabolism with biomass accumulation and yield, but its measurement is time consuming and this has limited its use in fundamental research and large-scale physiological breeding. In this study, high-throughput plant phenotyping (HTPP) approaches were used among a population of field-grown wheat with variation in RUE and photosynthetic traits to build predictive models of RUE, biomass, and intercepted photosynthetically active radiation (IPAR). Three approaches were used: best combination of sensors; canopy vegetation indices; and partial least squares regression. The use of remote sensing models predicted RUE with up to 70% accuracy compared with ground truth data. Water indices and canopy greenness indices [normalized difference vegetation index (NDVI), enhanced vegetation index (EVI)] are the better option to predict RUE, biomass, and IPAR, and indices related to gas exchange, non-photochemical quenching [photochemical reflectance index (PRI)] and senescence [structural-insensitive pigment index (SIPI)] are better predictors for these traits at the vegetative and grain-filling stages, respectively. These models will be instrumental to explain canopy processes, improve crop growth and yield modelling, and potentially be used to predict RUE in different crops or ecosystems.
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Affiliation(s)
- Carlos A Robles-Zazueta
- Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD,UK
- International Maize and Wheat Improvement Center (CIMMYT), carretera Mexico-Veracruz km 45, El Batan, Texcoco, Mexico CP
| | - Gemma Molero
- International Maize and Wheat Improvement Center (CIMMYT), carretera Mexico-Veracruz km 45, El Batan, Texcoco, Mexico CP
- KWS Momont Recherche, 7 rue de Martinval, 59246 Mons-en-Pevele,France
| | - Francisco Pinto
- International Maize and Wheat Improvement Center (CIMMYT), carretera Mexico-Veracruz km 45, El Batan, Texcoco, Mexico CP
| | - M John Foulkes
- Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD,UK
| | - Matthew P Reynolds
- International Maize and Wheat Improvement Center (CIMMYT), carretera Mexico-Veracruz km 45, El Batan, Texcoco, Mexico CP
| | - Erik H Murchie
- Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD,UK
- Correspondence:
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Chapman EA, Orford S, Lage J, Griffiths S. Capturing and Selecting Senescence Variation in Wheat. FRONTIERS IN PLANT SCIENCE 2021; 12:638738. [PMID: 33936128 PMCID: PMC8085557 DOI: 10.3389/fpls.2021.638738] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 03/12/2021] [Indexed: 06/12/2023]
Abstract
Senescence is a highly quantitative trait, but in wheat the genetics underpinning senescence regulation remain relatively unknown. To select senescence variation and ultimately identify novel genetic regulators, accurate characterization of senescence phenotypes is essential. When investigating senescence, phenotyping efforts often focus on, or are limited to, the visual assessment of flag leaves. However, senescence is a whole-plant process, involving remobilization and translocation of resources into the developing grain. Furthermore, the temporal progression of senescence poses challenges regarding trait quantification and description, whereupon the different models and approaches applied result in varying definitions of apparently similar metrics. To gain a holistic understanding of senescence, we phenotyped flag leaf and peduncle senescence progression, alongside grain maturation. Reviewing the literature, we identified techniques commonly applied in quantification of senescence variation and developed simple methods to calculate descriptive and discriminatory metrics. To capture senescence dynamism, we developed the idea of calculating thermal time to different flag leaf senescence scores, for which between-year Spearman's rank correlations of r ≥ 0.59, P < 4.7 × 10-5 (TT70), identify as an accurate phenotyping method. Following our experience of senescence trait genetic mapping, we recognized the need for singular metrics capable of discriminating senescence variation, identifying thermal time to flag leaf senescence score of 70 (TT70) and mean peduncle senescence (MeanPed) scores as most informative. Moreover, grain maturity assessments confirmed a previous association between our staygreen traits and grain fill extension, illustrating trait functionality. Here we review different senescence phenotyping approaches and share our experiences of phenotyping two independent recombinant inbred line (RIL) populations segregating for staygreen traits. Together, we direct readers toward senescence phenotyping methods we found most effective, encouraging their use when investigating and discriminating senescence variation of differing genetic bases, and aid trait selection and weighting in breeding and research programs alike.
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Affiliation(s)
- Elizabeth A. Chapman
- Department of Crop Genetics, John Innes Centre, Norwich Research Park, Norwich, United Kingdom
| | - Simon Orford
- Department of Crop Genetics, John Innes Centre, Norwich Research Park, Norwich, United Kingdom
| | | | - Simon Griffiths
- Department of Crop Genetics, John Innes Centre, Norwich Research Park, Norwich, United Kingdom
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Nehe AS, Foulkes MJ, Ozturk I, Rasheed A, York L, Kefauver SC, Ozdemir F, Morgounov A. Root and canopy traits and adaptability genes explain drought tolerance responses in winter wheat. PLoS One 2021; 16:e0242472. [PMID: 33819270 PMCID: PMC8021186 DOI: 10.1371/journal.pone.0242472] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 03/16/2021] [Indexed: 01/12/2023] Open
Abstract
Bread wheat (Triticum aestivum L) is one of the three main staple crops worldwide contributing 20% calories in the human diet. Drought stress is the main factor limiting yields and threatening food security, with climate change resulting in more frequent and intense drought. Developing drought-tolerant wheat cultivars is a promising way forward. The use of holistic approaches that include high-throughput phenotyping and genetic markers in selection could help in accelerating genetic gains. Fifty advanced breeding lines were selected from the CIMMYT Turkey winter wheat breeding program and studied under irrigated and semiarid conditions in two years. High-throughput phenotyping was done for wheat crown root traits and canopy senescence dynamics using vegetation indices (green area using RGB images and Normalized Difference Vegetation Index using spectral reflectance). In addition, genotyping by KASP markers for adaptability genes was done. Overall, under semiarid conditions yield reduced by 3.09 t ha-1 (-46.8%) compared to irrigated conditions. Genotypes responded differently under drought stress and genotypes 39 (VORONA/HD24-12//GUN/7/VEE#8//…/8/ALTAY), 18 (BiII98) and 29 (NIKIFOR//KROSHKA) were the most drought tolerant. Root traits including shallow nodal root angle under irrigated conditions and root number per shoot under semiarid conditions were correlated with increased grain yield. RGB based vegetation index measuring canopy green area at anthesis was better correlated with GY than NDVI was with GY under drought. The markers for five established functional genes (PRR73.A1 –flowering time, TEF-7A –grain size and weight, TaCwi.4A - yield under drought, Dreb1- drought tolerance, and ISBW11.GY.QTL.CANDIDATE- grain yield) were associated with different drought-tolerance traits in this experiment. We conclude that–genotypes 39, 18 and 29 could be used for drought tolerance breeding. The trait combinations of canopy green area at anthesis, and root number per shoot along with key drought adaptability makers (TaCwi.4A and Dreb1) could be used in screening drought tolerance wheat breeding lines.
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Affiliation(s)
- A. S. Nehe
- International Maize and Wheat Improvement Center (CIMMYT), Ankara, Turkey
- * E-mail:
| | - M. J. Foulkes
- Division of Plant and Crop Science, School of Biosciences, University of Nottingham, Nottingham, United Kingdom
| | - I. Ozturk
- International Maize and Wheat Improvement Center (CIMMYT), Ankara, Turkey
| | - A. Rasheed
- International Maize and Wheat Improvement Center (CIMMYT) China Office, Beijing, China
| | - L. York
- Noble Research Institute, Ardmore, Oklahoma, United States of America
| | - S. C. Kefauver
- Integrative Crop Ecophysiology Group, University of Barcelona, Barcelona, Spain
| | - F. Ozdemir
- Bahri Dagdas International Agricultural Research Institute, Konya, Turkey
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45
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Evaluation of Physiological and Morphological Traits for Improving Spring Wheat Adaptation to Terminal Heat Stress. PLANTS 2021; 10:plants10030455. [PMID: 33670853 PMCID: PMC7997430 DOI: 10.3390/plants10030455] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Revised: 02/23/2021] [Accepted: 02/24/2021] [Indexed: 12/23/2022]
Abstract
Wheat crop experiences high temperature stress during flowering and grain-filling stages, which is termed as “terminal heat stress”. Characterizing genotypes for adaptive traits could increase their selection for better performance under terminal heat stress. The present study evaluated the morpho-physiological traits of two spring wheat cultivars (Millet-11, Punjab-11) and two advanced lines (V-07096, V-10110) exposed to terminal heat stress under late sowing. Early maturing Millet-11 was used as heat-tolerant control. Late sowing reduced spike length (13%), number of grains per spike (10%), 1000-grain weight (13%) and biological yield (15–20%) compared to timely sowing. Nonetheless, higher number of productive tillers per plant (19–20%) and grain yield (9%) were recorded under late sowing. Advanced lines and genotype Punjab-11 had delayed maturity and better agronomic performance than early maturing heat-tolerant Millet-11. Advanced lines expressed reduced canopy temperature during grain filling and high leaf chlorophyll a (20%) and b (71–125%) contents during anthesis under late sowing. All wheat genotypes expressed improved stem water-soluble carbohydrates under terminal heat stress that were highest for heat-tolerant Millet-11 genotype during anthesis. Improved grain yield was associated with the highest chlorophyll contents showing stay green characteristics with maintenance of high photosynthetic rates and cooler canopies under late sowing. The results revealed that advanced lines and Punjab-11 with heat adaptive traits could be promising source for further use in the selection of heat-tolerant wheat genotypes.
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46
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de Jesus Colwell F, Souter J, Bryan GJ, Compton LJ, Boonham N, Prashar A. Development and Validation of Methodology for Estimating Potato Canopy Structure for Field Crop Phenotyping and Improved Breeding. FRONTIERS IN PLANT SCIENCE 2021; 12:612843. [PMID: 33643346 PMCID: PMC7902928 DOI: 10.3389/fpls.2021.612843] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 01/19/2021] [Indexed: 05/30/2023]
Abstract
Traditional phenotyping techniques have long been a bottleneck in breeding programs and genotype- phenotype association studies in potato, as these methods are labor-intensive and time consuming. In addition, depending on the trait measured and metric adopted, they suffer from varying degrees of user bias and inaccuracy, and hence these challenges have effectively prevented the execution of large-scale population-based field studies. This is true not only for commercial traits (e.g., yield, tuber size, and shape), but also for traits strongly associated with plant performance (e.g., canopy development, canopy architecture, and growth rates). This study demonstrates how the use of point cloud data obtained from low-cost UAV imaging can be used to create 3D surface models of the plant canopy, from which detailed and accurate data on plant height and its distribution, canopy ground cover and canopy volume can be obtained over the growing season. Comparison of the canopy datasets at different temporal points enabled the identification of distinct patterns of canopy development, including different patterns of growth, plant lodging, maturity and senescence. Three varieties are presented as exemplars. Variety Nadine presented the growth pattern of an early maturing variety, showing rapid initial growth followed by rapid onset of senescence and plant death. Varieties Bonnie and Bounty presented the pattern of intermediate to late maturing varieties, with Bonnie also showing early canopy lodging. The methodological approach used in this study may alleviate one of the current bottlenecks in the study of plant development, paving the way for an expansion in the scale of future genotype-phenotype association studies.
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Affiliation(s)
- Filipe de Jesus Colwell
- School of Natural Environmental Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Jock Souter
- Survey Solutions Scotland, Edinburgh, United Kingdom
| | | | - Lindsey J. Compton
- School of Biosciences, University of Birmingham, Birmingham, United Kingdom
| | - Neil Boonham
- School of Natural Environmental Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Ankush Prashar
- School of Natural Environmental Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
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Wang J, Wu B, Kohnen MV, Lin D, Yang C, Wang X, Qiang A, Liu W, Kang J, Li H, Shen J, Yao T, Su J, Li B, Gu L. Classification of Rice Yield Using UAV-Based Hyperspectral Imagery and Lodging Feature. PLANT PHENOMICS (WASHINGTON, D.C.) 2021; 2021:9765952. [PMID: 33851136 PMCID: PMC8028843 DOI: 10.34133/2021/9765952] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 03/10/2021] [Indexed: 05/09/2023]
Abstract
High-yield rice cultivation is an effective way to address the increasing food demand worldwide. Correct classification of high-yield rice is a key step of breeding. However, manual measurements within breeding programs are time consuming and have high cost and low throughput, which limit the application in large-scale field phenotyping. In this study, we developed an accurate large-scale approach and presented the potential usage of hyperspectral data for rice yield measurement using the XGBoost algorithm to speed up the rice breeding process for many breeders. In total, 13 japonica rice lines in regional trials in northern China were divided into different categories according to the manual measurement of yield. Using an Unmanned Aerial Vehicle (UAV) platform equipped with a hyperspectral camera to capture images over multiple time series, a rice yield classification model based on the XGBoost algorithm was proposed. Four comparison experiments were carried out through the intraline test and the interline test considering lodging characteristics at the midmature stage or not. The result revealed that the degree of lodging in the midmature stage was an important feature affecting the classification accuracy of rice. Thus, we developed a low-cost, high-throughput phenotyping and nondestructive method by combining UAV-based hyperspectral measurements and machine learning for estimation of rice yield to improve rice breeding efficiency.
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Affiliation(s)
- Jian Wang
- Institute of Crop Sciences, Ningxia Academy of Agriculture and Forestry Science, Yinchuan, Ningxia 750105, China
| | - Bizhi Wu
- Basic Forestry and Proteomics Research Center, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- State Key Laboratory of Marine Environmental Science, Xiamen University, China
| | - Markus V. Kohnen
- Basic Forestry and Proteomics Research Center, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Daqi Lin
- Basic Forestry and Proteomics Research Center, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Changcai Yang
- Digital Fujian Institute of Big Data for Agriculture and Forestry, Key Laboratory of Smart Agriculture and Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Xiaowei Wang
- Basic Forestry and Proteomics Research Center, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Ailing Qiang
- Institute of Crop Sciences, Ningxia Academy of Agriculture and Forestry Science, Yinchuan, Ningxia 750105, China
| | - Wei Liu
- Institute of Crop Sciences, Ningxia Academy of Agriculture and Forestry Science, Yinchuan, Ningxia 750105, China
| | - Jianbin Kang
- Seed Workstations of the Ningxia Hui Autonomous Region, Yinchuan, Ningxia 750004, China
| | - Hua Li
- Digital Fujian Institute of Big Data for Agriculture and Forestry, Key Laboratory of Smart Agriculture and Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Jing Shen
- Seed Workstations of the Ningxia Hui Autonomous Region, Yinchuan, Ningxia 750004, China
| | - Tianhao Yao
- Basic Forestry and Proteomics Research Center, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Jun Su
- Basic Forestry and Proteomics Research Center, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Bangyu Li
- Aerospace Information Research Center, Institute of Automation, Chinese Academic Science, Beijing 100190, China
| | - Lianfeng Gu
- Basic Forestry and Proteomics Research Center, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
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Sandhu KS, Mihalyov PD, Lewien MJ, Pumphrey MO, Carter AH. Combining Genomic and Phenomic Information for Predicting Grain Protein Content and Grain Yield in Spring Wheat. FRONTIERS IN PLANT SCIENCE 2021; 12:613300. [PMID: 33643347 PMCID: PMC7907601 DOI: 10.3389/fpls.2021.613300] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 01/25/2021] [Indexed: 05/10/2023]
Abstract
Genomics and high throughput phenomics have the potential to revolutionize the field of wheat (Triticum aestivum L.) breeding. Genomic selection (GS) has been used for predicting various quantitative traits in wheat, especially grain yield. However, there are few GS studies for grain protein content (GPC), which is a crucial quality determinant. Incorporation of secondary correlated traits in GS models has been demonstrated to improve accuracy. The objectives of this research were to compare performance of single and multi-trait GS models for predicting GPC and grain yield in wheat and to identify optimal growth stages for collecting secondary traits. We used 650 recombinant inbred lines from a spring wheat nested association mapping (NAM) population. The population was phenotyped over 3 years (2014-2016), and spectral information was collected at heading and grain filling stages. The ability to predict GPC and grain yield was assessed using secondary traits, univariate, covariate, and multivariate GS models for within and across cycle predictions. Our results indicate that GS accuracy increased by an average of 12% for GPC and 20% for grain yield by including secondary traits in the models. Spectral information collected at heading was superior for predicting GPC, whereas grain yield was more accurately predicted during the grain filling stage. Green normalized difference vegetation index had the largest effect on the prediction of GPC either used individually or with multiple indices in the GS models. An increased prediction ability for GPC and grain yield with the inclusion of secondary traits demonstrates the potential to improve the genetic gain per unit time and cost in wheat breeding.
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Affiliation(s)
- Karansher S. Sandhu
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, United States
| | | | | | - Michael O. Pumphrey
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, United States
| | - Arron H. Carter
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, United States
- *Correspondence: Arron H. Carter,
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49
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Khan A, Ahmad M, Ahmed M, Iftikhar Hussain M. Rising Atmospheric Temperature Impact on Wheat and Thermotolerance Strategies. PLANTS 2020; 10:plants10010043. [PMID: 33375473 PMCID: PMC7823633 DOI: 10.3390/plants10010043] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Revised: 12/22/2020] [Accepted: 12/22/2020] [Indexed: 02/07/2023]
Abstract
Temperature across the globe is increasing continuously at the rate of 0.15–0.17 °C per decade since the industrial revolution. It is influencing agricultural crop productivity. Therefore, thermotolerance strategies are needed to have sustainability in crop yield under higher temperature. However, improving thermotolerance in the crop is a challenging task for crop scientists. Therefore, this review work was conducted with the aim of providing information on the wheat response in three research areas, i.e., physiology, breeding, and advances in genetics, which could assist the researchers in improving thermotolerance. The optimum temperature for wheat growth at the heading, anthesis, and grain filling duration is 16 ± 2.3 °C, 23 ± 1.75 °C, and 26 ± 1.53 °C, respectively. The high temperature adversely influences the crop phenology, growth, and development. The pre-anthesis high temperature retards the pollen viability, seed formation, and embryo development. The post-anthesis high temperature declines the starch granules accumulation, stem reserve carbohydrates, and translocation of photosynthates into grains. A high temperature above 40 °C inhibits the photosynthesis by damaging the photosystem-II, electron transport chain, and photosystem-I. Our review work highlighted that genotypes which can maintain a higher accumulation of proline, glycine betaine, expression of heat shock proteins, stay green and antioxidant enzymes activity viz., catalase, peroxidase, super oxide dismutase, and glutathione reductase can tolerate high temperature efficiently through sustaining cellular physiology. Similarly, the pre-anthesis acclimation with heat treatment, inorganic fertilizer such as nitrogen, potassium nitrate and potassium chloride, mulches with rice husk, early sowing, presoaking of a 6.6 mM solution of thiourea, foliar application of 50 ppm dithiothreitol, 10 mg per kg of silicon at heading and zinc ameliorate the crop against the high temperature. Finally, it has been suggested that modern genomics and omics techniques should be used to develop thermotolerance in wheat.
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Affiliation(s)
- Adeel Khan
- Department of Plant Breeding and Genetics, PMAS-Arid Agriculture University Rawalpindi, Rawalpindi 46300, Pakistan; (A.K.); (M.A.)
| | - Munir Ahmad
- Department of Plant Breeding and Genetics, PMAS-Arid Agriculture University Rawalpindi, Rawalpindi 46300, Pakistan; (A.K.); (M.A.)
| | - Mukhtar Ahmed
- Department of Agricultural Research for Northern Sweden, Swedish University of Agricultural Sciences, 90183 Umeå, Sweden
- Department of Agronomy, PMAS Arid Agriculture University, Rawalpindi 46300, Pakistan
- Correspondence:
| | - M. Iftikhar Hussain
- Department of Plant Biology & Soil Science, Faculty of Biology, University of Vigo, Campus As Lagoas Marcosende, 36310 Vigo, Spain;
- CITACA, Agri-Food Research and Transfer Cluster, Campus da Auga, University of Vigo, 32004 Ourense, Spain
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Maulana F, Huang W, Anderson JD, Ma XF. Genome-Wide Association Mapping of Seedling Drought Tolerance in Winter Wheat. FRONTIERS IN PLANT SCIENCE 2020; 11:573786. [PMID: 33250908 PMCID: PMC7673388 DOI: 10.3389/fpls.2020.573786] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 10/01/2020] [Indexed: 05/25/2023]
Abstract
In the southern Great Plains of the United States, winter wheat grown for dual-purpose is often planted early, which puts it at risk for drought stress at the seedling stage in the autumn. To map quantitative trait loci (QTL) associated with seedling drought tolerance, a genome-wide association study (GWAS) was performed on a hard winter wheat association mapping panel. Two sets of plants were planted in the greenhouse initially under well-watered conditions. At the five-leaf stage, one set continued to receive the optimum amount of water, whereas watering was withdrawn from the other set (drought stress treatment) for 14 days to mimic drought stress. Large phenotypic variation was observed in leaf chlorophyll content, leaf chlorophyll fluorescence, shoot length, number of leaves per seedling, and seedling recovery. A mixed linear model analysis detected multiple significant QTL associated with seedling drought tolerance-related traits on chromosomes 1B, 2A, 2B, 2D, 3A, 3B, 3D, 4B, 5A, 5B, 6B, and 7B. Among those, 12 stable QTL responding to drought stress for various traits were identified. Shoot length and leaf chlorophyll fluorescence were good indicators in responding to drought stress because most of the drought responding QTL detected using means of these two traits were also detected in at least two experimental repeats. These stable QTL are more valuable for use in marker-assisted selection during wheat breeding. Moreover, different traits were mapped on several common chromosomes, such as 1B, 2B, 3B, and 6B, and two QTL clusters associated with three or more traits were located at 107-130 and 80-83 cM on chromosomes 2B and 6B, respectively. Furthermore, some QTL detected in this study co-localized with previously reported QTL for root and shoot traits at the seedling stage and canopy temperature at the grain-filling stage of wheat. In addition, several of the mapped chromosomes were also associated with drought tolerance during the flowering or grain-filling stage in wheat. Some significant single-nucleotide polymorphisms (SNPs) were aligned to candidate genes playing roles in plant abiotic stress responses. The SNP markers identified in this study will be further validated and used for marker-assisted breeding of seedling drought tolerance during dual-purpose wheat breeding.
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Affiliation(s)
- Frank Maulana
- Noble Research Institute, LLC, Ardmore, OK, United States
| | - Wangqi Huang
- Noble Research Institute, LLC, Ardmore, OK, United States
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
| | | | - Xue-Feng Ma
- Noble Research Institute, LLC, Ardmore, OK, United States
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