1
|
Manikanta C, Pasala R, Kaliamoorthy S, Basavaraj PS, Pandey BB, Vadlamudi DR, Nidamarty M, Guhey A, Kadirvel P. Safflower ( Carthamus tinctorius L.) crop adaptation to residual moisture stress: conserved water use and canopy temperature modulation are better adaptive mechanisms. PeerJ 2023; 11:e15928. [PMID: 37719114 PMCID: PMC10501382 DOI: 10.7717/peerj.15928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 07/30/2023] [Indexed: 09/19/2023] Open
Abstract
Oilseeds with high productivity and tolerance to various environmental stresses are in high demand in the food and industrial sectors. Safflower, grown under residual moisture in the semi-arid tropics, is adapted to moisture stress at certain levels. However, a substantial reduction in soil moisture has a significant impact on its productivity. Therefore, assessing genetic variation for water use efficiency traits like transpiration efficiency (TE), water uptake, and canopy temperature depression (CTD) is essential for enhancing crop adaptation to drought. The response of safflower genotypes (n = 12) to progressive soil moisture depletion was studied in terms of water uptake, TE, and CTD under a series of pot and field experiments. The normalised transpiration rate (NTR) in relation to the fraction of transpirable soil water (FTSW) varied significantly among genotypes. The genotypes A-1, Bhima, GMU-2347, and CO-1 had higher NTR-FTSW threshold values of 0.79 (R2 = 0.92), 0.74 (R2 = 0.96), 0.71 (R2 = 0.96), and 0.71 (R2 = 0.91), respectively, whereas GMU-2644 had the lowest 0.38 (R2 = 0.93). TE was high in genotype GMU-2347, indicating that it could produce maximum biomass per unit of water transpired. At both the vegetative and reproductive stages, significant positive relationships between TE, SPAD chlorophyll metre reading (SCMR) (p < 0.01) and CTD (p < 0.01) were observed under field conditions by linear regression. The genotypes with high FTSW-NTR thresholds, high SCMR, and low CTD may be useful clues in identifying a genotype's ability to adapt to moisture stress. The findings showed that the safflower genotypes A-1, Bhima, GMU-2347, and CO-1 exhibited an early decline and regulated water uptake by conserving it for later growth stages under progressive soil water depletion.
Collapse
Affiliation(s)
- Chennamsetti Manikanta
- ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad, India
- Indira Gandhi Agricultural University, Raipur, Chhattisgarh, India
| | - Ratnakumar Pasala
- ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad, India
- Indira Gandhi Agricultural University, Raipur, Chhattisgarh, India
| | - Sivasakthi Kaliamoorthy
- ICRISAT-International Crops Research Institute for the Semi-Arid Tropics Patancheru, Greater Hyderabad, Telangana, India
| | - P. S. Basavaraj
- ICAR-National Institute of Abiotic Stress Management, Baramati, Maharashtra, India
| | - Brij Bihari Pandey
- ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad, India
| | - Dinesh Rahul Vadlamudi
- ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad, India
- Indira Gandhi Agricultural University, Raipur, Chhattisgarh, India
| | - Mukta Nidamarty
- ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad, India
| | - Arti Guhey
- ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad, India
- Indira Gandhi Agricultural University, Raipur, Chhattisgarh, India
| | - Palchamy Kadirvel
- ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad, India
| |
Collapse
|
2
|
Wu A. Modelling plants across scales of biological organisation for guiding crop improvement. FUNCTIONAL PLANT BIOLOGY : FPB 2023; 50:435-454. [PMID: 37105931 DOI: 10.1071/fp23010] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 04/06/2023] [Indexed: 06/07/2023]
Abstract
Grain yield improvement in globally important staple crops is critical in the coming decades if production is to keep pace with growing demand; so there is increasing interest in understanding and manipulating plant growth and developmental traits for better crop productivity. However, this is confounded by complex cross-scale feedback regulations and a limited ability to evaluate the consequences of manipulation on crop production. Plant/crop modelling could hold the key to deepening our understanding of dynamic trait-crop-environment interactions and predictive capabilities for supporting genetic manipulation. Using photosynthesis and crop growth as an example, this review summarises past and present experimental and modelling work, bringing about a model-guided crop improvement thrust, encompassing research into: (1) advancing cross-scale plant/crop modelling that connects across biological scales of organisation using a trait dissection-integration modelling principle; (2) improving the reliability of predicted molecular-trait-crop-environment system dynamics with experimental validation; and (3) innovative model application in synergy with cross-scale experimentation to evaluate G×M×E and predict yield outcomes of genetic intervention (or lack of it) for strategising further molecular and breeding efforts. The possible future roles of cross-scale plant/crop modelling in maximising crop improvement are discussed.
Collapse
Affiliation(s)
- Alex Wu
- Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Qld, Australia
| |
Collapse
|
3
|
Zhi X, Hammer G, Borrell A, Tao Y, Wu A, Hunt C, van Oosterom E, Massey-Reed SR, Cruickshank A, Potgieter AB, Jordan D, Mace E, George-Jaeggli B. Genetic basis of sorghum leaf width and its potential as a surrogate for transpiration efficiency. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:3057-3071. [PMID: 35933636 PMCID: PMC9482571 DOI: 10.1007/s00122-022-04167-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Accepted: 06/27/2022] [Indexed: 06/08/2023]
Abstract
Leaf width was correlated with plant-level transpiration efficiency and associated with 19 QTL in sorghum, suggesting it could be a surrogate for transpiration efficiency in large breeding program. Enhancing plant transpiration efficiency (TE) by reducing transpiration without compromising photosynthesis and yield is a desirable selection target in crop improvement programs. While narrow individual leaf width has been correlated with greater intrinsic water use efficiency in C4 species, the extent to which this translates to greater plant TE has not been investigated. The aims of this study were to evaluate the correlation of leaf width with TE at the whole-plant scale and investigate the genetic control of leaf width in sorghum. Two lysimetry experiments using 16 genotypes varying for stomatal conductance and three field trials using a large sorghum diversity panel (n = 701 lines) were conducted. Negative associations of leaf width with plant TE were found in the lysimetry experiments, suggesting narrow leaves may result in reduced plant transpiration without trade-offs in biomass accumulation. A wide range in width of the largest leaf was found in the sorghum diversity panel with consistent ranking among sorghum races, suggesting that environmental adaptation may have a role in modifying leaf width. Nineteen QTL were identified by genome-wide association studies on leaf width adjusted for flowering time. The QTL identified showed high levels of correspondence with those in maize and rice, suggesting similarities in the genetic control of leaf width across cereals. Three a priori candidate genes for leaf width, previously found to regulate dorsoventrality, were identified based on a 1-cM threshold. This study provides useful physiological and genetic insights for potential manipulation of leaf width to improve plant adaptation to diverse environments.
Collapse
Affiliation(s)
- Xiaoyu Zhi
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, Warwick, QLD, Australia.
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Henan, China.
| | - Graeme Hammer
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, St Lucia, QLD, Australia
| | - Andrew Borrell
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, Warwick, QLD, Australia
| | - Yongfu Tao
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, Warwick, QLD, Australia
| | - Alex Wu
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, St Lucia, QLD, Australia
| | - Colleen Hunt
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, Warwick, QLD, Australia
- Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Agri-Science Queensland, Warwick, QLD, Australia
| | - Erik van Oosterom
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, St Lucia, QLD, Australia
| | - Sean Reynolds Massey-Reed
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, Warwick, QLD, Australia
| | - Alan Cruickshank
- Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Agri-Science Queensland, Warwick, QLD, Australia
| | - Andries B Potgieter
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, Gatton, QLD, Australia
| | - David Jordan
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, Warwick, QLD, Australia.
- Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Agri-Science Queensland, Warwick, QLD, Australia.
| | - Emma Mace
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, Warwick, QLD, Australia.
- Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Agri-Science Queensland, Warwick, QLD, Australia.
| | - Barbara George-Jaeggli
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Crop Science, The University of Queensland, Warwick, QLD, Australia.
- Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Agri-Science Queensland, Warwick, QLD, Australia.
| |
Collapse
|
4
|
Pan L, George-Jaeggli B, Borrell A, Jordan D, Koller F, Al-Salman Y, Ghannoum O, Cano FJ. Coordination of stomata and vein patterns with leaf width underpins water-use efficiency in a C 4 crop. PLANT, CELL & ENVIRONMENT 2022; 45:1612-1630. [PMID: 34773276 DOI: 10.1111/pce.14225] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 10/08/2021] [Accepted: 11/05/2021] [Indexed: 06/13/2023]
Abstract
Despite its importance for crop water use and productivity, especially in drought-affected environments, the underlying mechanisms of variation in intrinsic water-use efficiency (iWUE = net photosynthesis/stomatal conductance for water vapour, gsw ) are not well understood, especially in C4 plants. Recently, we discovered that leaf width (LW) correlated negatively with iWUE and positively with gsw across several C4 grasses. Here, we confirmed these relationships within 48 field-grown genotypes differing in LW in Sorghum bicolor, a C4 crop adapted to dry and hot conditions. We measured leaf gas exchange and modelled leaf energy balance three times a day, alongside anatomical traits as potential predictors of iWUE. LW correlated negatively with iWUE and stomatal density, but positively with gsw , interveinal distance of longitudinal veins, and the percentage of stomatal aperture relative to maximum. Energy balance modelling showed that wider leaves needed to open their stomata more to generate a more negative leaf-to-air temperature difference, especially at midday when air temperatures exceeded 40°C. These results highlight the important role that LW plays in shaping iWUE through coordination of vein and stomatal traits and by affecting stomatal aperture. Therefore, LW could be used as a predictor of higher iWUE among sorghum genotypes.
Collapse
Affiliation(s)
- Ling Pan
- ARC Centre of Excellence for Translational Photosynthesis, Australia
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, New South Wales, Australia
- Department of Grassland Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
- College of Forestry, Hainan University, Haikou, Hainan, China
| | - Barbara George-Jaeggli
- ARC Centre of Excellence for Translational Photosynthesis, Australia
- Queensland Alliance for Agriculture and Food Innovation, Hermitage Research Facility, The University of Queensland, Warwick, Queensland, Australia
- Department of Agriculture and Fisheries, Agri-Science Queensland, Hermitage Research Facility, Warwick, Queensland, Australia
| | - Andrew Borrell
- ARC Centre of Excellence for Translational Photosynthesis, Australia
- Queensland Alliance for Agriculture and Food Innovation, Hermitage Research Facility, The University of Queensland, Warwick, Queensland, Australia
| | - David Jordan
- ARC Centre of Excellence for Translational Photosynthesis, Australia
- Queensland Alliance for Agriculture and Food Innovation, Hermitage Research Facility, The University of Queensland, Warwick, Queensland, Australia
| | - Fiona Koller
- ARC Centre of Excellence for Translational Photosynthesis, Australia
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, New South Wales, Australia
| | - Yazen Al-Salman
- ARC Centre of Excellence for Translational Photosynthesis, Australia
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, New South Wales, Australia
| | - Oula Ghannoum
- ARC Centre of Excellence for Translational Photosynthesis, Australia
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, New South Wales, Australia
| | - Francisco J Cano
- ARC Centre of Excellence for Translational Photosynthesis, Australia
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, New South Wales, Australia
- Centro de Investigación Forestal (CIFOR), Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| |
Collapse
|
5
|
Eggels S, Blankenagel S, Schön CC, Avramova V. The carbon isotopic signature of C 4 crops and its applicability in breeding for climate resilience. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:1663-1675. [PMID: 33575820 PMCID: PMC8205923 DOI: 10.1007/s00122-020-03761-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Accepted: 12/30/2020] [Indexed: 05/04/2023]
Abstract
KEY MESSAGE Carbon isotope discrimination is a promising trait for indirect screening for improved water use efficiency of C4 crops. In the context of a changing climate, drought is one of the major factors limiting plant growth and yield. Hence, breeding efforts are directed toward improving water use efficiency (WUE) as a key factor in climate resilience and sustainability of crop production. As WUE is a complex trait and its evaluation is rather resource consuming, proxy traits, which are easier to screen and reliably reflect variation in WUE, are needed. In C3 crops, a trait established to be indicative for WUE is the carbon isotopic composition (δ13C) of plant material, which reflects the preferential assimilation of the lighter carbon isotope 12C over 13C during photosynthesis. In C4 crops, carbon fixation is more complex and δ13C thus depends on many more factors than in C3 crops. Recent physiological and genetic studies indicate a correlation between δ13C and WUE also in C4 crops, as well as a colocalization of quantitative trait loci for the two traits. Moreover, significant intraspecific variation as well as a medium to high heritability of δ13C has been shown in some of the main C4 crops, such as maize, sorghum and sugarcane, indicating its potential for indirect selection and breeding. Further research on physiological, genetic and environmental components influencing δ13C is needed to support its application in improving WUE and making C4 crops resilient to climate change.
Collapse
Affiliation(s)
- Stella Eggels
- Plant Breeding, TUM School of Life Sciences, Technical University of Munich, Liesel-Beckmann-Straße 2, 85354, Freising, Germany
| | - Sonja Blankenagel
- Plant Breeding, TUM School of Life Sciences, Technical University of Munich, Liesel-Beckmann-Straße 2, 85354, Freising, Germany
| | - Chris-Carolin Schön
- Plant Breeding, TUM School of Life Sciences, Technical University of Munich, Liesel-Beckmann-Straße 2, 85354, Freising, Germany
| | - Viktoriya Avramova
- Plant Breeding, TUM School of Life Sciences, Technical University of Munich, Liesel-Beckmann-Straße 2, 85354, Freising, Germany.
| |
Collapse
|
6
|
Pignon CP, Leakey ADB, Long SP, Kromdijk J. Drivers of Natural Variation in Water-Use Efficiency Under Fluctuating Light Are Promising Targets for Improvement in Sorghum. FRONTIERS IN PLANT SCIENCE 2021; 12:627432. [PMID: 33597965 PMCID: PMC7882533 DOI: 10.3389/fpls.2021.627432] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 01/05/2021] [Indexed: 05/20/2023]
Abstract
Improving leaf intrinsic water-use efficiency (iWUE), the ratio of photosynthetic CO2 assimilation to stomatal conductance, could decrease crop freshwater consumption. iWUE has primarily been studied under steady-state light, but light in crop stands rapidly fluctuates. Leaf responses to these fluctuations substantially affect overall plant performance. Notably, photosynthesis responds faster than stomata to decreases in light intensity: this desynchronization results in substantial loss of iWUE. Traits that could improve iWUE under fluctuating light, such as faster stomatal movement to better synchronize stomata with photosynthesis, show significant natural diversity in C3 species. However, C4 crops have been less closely investigated. Additionally, while modification of photosynthetic or stomatal traits independent of one another will theoretically have a proportionate effect on iWUE, in reality these traits are inter-dependent. It is unclear how interactions between photosynthesis and stomata affect natural diversity in iWUE, and whether some traits are more tractable drivers to improve iWUE. Here, measurements of photosynthesis, stomatal conductance and iWUE under steady-state and fluctuating light, along with stomatal patterning, were obtained in 18 field-grown accessions of the C4 crop sorghum. These traits showed significant natural diversity but were highly correlated, with important implications for improvement of iWUE. Some features, such as gradual responses of photosynthesis to decreases in light, appeared promising for improvement of iWUE. Other traits showed tradeoffs that negated benefits to iWUE, e.g., accessions with faster stomatal responses to decreases in light, expected to benefit iWUE, also displayed more abrupt losses in photosynthesis, resulting in overall lower iWUE. Genetic engineering might be needed to break these natural tradeoffs and achieve optimal trait combinations, e.g., leaves with fewer, smaller stomata, more sensitive to changes in photosynthesis. Traits describing iWUE at steady-state, and the change in iWUE following decreases in light, were important contributors to overall iWUE under fluctuating light.
Collapse
Affiliation(s)
- Charles P. Pignon
- Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Andrew D. B. Leakey
- Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
- *Correspondence: Andrew D. B. Leakey,
| | - Stephen P. Long
- Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
- Lancaster Environment Centre, Lancaster University, Lancaster, United Kingdom
| | - Johannes Kromdijk
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
- Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom
- Johannes Kromdijk, ;
| |
Collapse
|
7
|
Kar S, Tanaka R, Korbu LB, Kholová J, Iwata H, Durbha SS, Adinarayana J, Vadez V. Automated discretization of 'transpiration restriction to increasing VPD' features from outdoors high-throughput phenotyping data. PLANT METHODS 2020; 16:140. [PMID: 33072176 PMCID: PMC7565372 DOI: 10.1186/s13007-020-00680-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Accepted: 10/05/2020] [Indexed: 05/24/2023]
Abstract
BACKGROUND Restricting transpiration under high vapor pressure deficit (VPD) is a promising water-saving trait for drought adaptation. However, it is often measured under controlled conditions and at very low throughput, unsuitable for breeding. A few high-throughput phenotyping (HTP) studies exist, and have considered only maximum transpiration rate in analyzing genotypic differences in this trait. Further, no study has precisely identified the VPD breakpoints where genotypes restrict transpiration under natural conditions. Therefore, outdoors HTP data (15 min frequency) of a chickpea population were used to automate the generation of smooth transpiration profiles, extract informative features of the transpiration response to VPD for optimal genotypic discretization, identify VPD breakpoints, and compare genotypes. RESULTS Fifteen biologically relevant features were extracted from the transpiration rate profiles derived from load cells data. Genotypes were clustered (C1, C2, C3) and 6 most important features (with heritability > 0.5) were selected using unsupervised Random Forest. All the wild relatives were found in C1, while C2 and C3 mostly comprised high TE and low TE lines, respectively. Assessment of the distinct p-value groups within each selected feature revealed highest genotypic variation for the feature representing transpiration response to high VPD condition. Sensitivity analysis on a multi-output neural network model (with R of 0.931, 0.944, 0.953 for C1, C2, C3, respectively) found C1 with the highest water saving ability, that restricted transpiration at relatively low VPD levels, 56% (i.e. 3.52 kPa) or 62% (i.e. 3.90 kPa), depending whether the influence of other environmental variables was minimum or maximum. Also, VPD appeared to have the most striking influence on the transpiration response independently of other environment variable, whereas light, temperature, and relative humidity alone had little/no effect. CONCLUSION Through this study, we present a novel approach to identifying genotypes with drought-tolerance potential, which overcomes the challenges in HTP of the water-saving trait. The six selected features served as proxy phenotypes for reliable genotypic discretization. The wild chickpeas were found to limit water-loss faster than the water-profligate cultivated ones. Such an analytic approach can be directly used for prescriptive breeding applications, applied to other traits, and help expedite maximized information extraction from HTP data.
Collapse
Affiliation(s)
- Soumyashree Kar
- Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai, India 400076
| | - Ryokei Tanaka
- Laboratory of Biometrics and Bioinformatics, University of Tokyo, Tokyo, Japan
| | - Lijalem Balcha Korbu
- Debre Zeit Research Center, Ethiopian Institute of Agricultural Research (EIAR), Debre Zeit, Ethiopia
| | - Jana Kholová
- International Crop Research Institute for Semi-Arid Tropics, Hyderabad, India 502319
| | - Hiroyoshi Iwata
- Laboratory of Biometrics and Bioinformatics, University of Tokyo, Tokyo, Japan
| | - Surya S. Durbha
- Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai, India 400076
| | - J. Adinarayana
- Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai, India 400076
| | - Vincent Vadez
- International Crop Research Institute for Semi-Arid Tropics, Hyderabad, India 502319
- Institut de Recherche Pour Le Développement (IRD), Université de Montpellier—UMR DIADE, 911 Avenue Agropolis, BP 64501, 34394 Montpellier cedex 5, France
| |
Collapse
|