1
|
Obunyali CO, Pillay K, Meisel B, Ndou EN, Mashingaidze K, Sserumaga JP, Asea G, Mwimali M, Tende R, Beyene Y, Mugo S, Okogbenin E, Oikeh SO. Efficacy of Event MON 87460 in drought-tolerant maize hybrids under optimal and managed drought-stress in eastern and southern africa. J Genet Eng Biotechnol 2024; 22:100352. [PMID: 38494265 PMCID: PMC10941202 DOI: 10.1016/j.jgeb.2024.100352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 01/14/2024] [Accepted: 01/15/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND Frequent drought events due to climate change have become a major threat to maize (Zea mays L.) production and food security in Africa. Genetic engineering is one of the ways of improving drought tolerance through gene introgression to reduce the impact of drought stress in maize production. This study aimed to evaluate the efficacy of Event MON 87460 (CspB; DroughtGard®) gene in more than 120 conventional drought-tolerant maize hybrids in Kenya, South Africa, and Uganda for 3-6 years under managed drought-stress and optimal conditions and establish any additional yield contribution or yield penalties of the gene in traited hybrids relative to their non-traited isohybrids. Germplasm used in the study were either MON 87460 traited un-adapted (2008-2010), adapted traited DroughtTEGO® (2011-2013) or a mix of both under confined field trials. RESULTS Results showed significant yield differences (p < 0.001) among MON 87460 traited and non-traited hybrids across well-watered and managed drought-stress treatments. The gene had positive and significant effect on yield by 36-62% in three hybrids (CML312/CML445; WMA8101/CML445; and CML312/S0125Z) relative to non-traited hybrids under drought, and without significant yield penalty under optimum-moisture conditions in Lutzville, South Africa. Five traited hybrids (WMA2003/WMB4401; CML442/WMB4401; CML489/WMB4401; CML511/CML445; and CML395/WMB4401) had 7-13% significantly higher yield than the non-traited isohybrids out of 34 adapted DroughtTEGO® hybrids with same background genetics in the three countries for ≥ 3 years. The positive effect of MON 87460 was mostly observed under high drought-stress relative to low, moderate, or severe stress levels. CONCLUSION This study showed that MON 87460 transgenic drought tolerant maize hybrids could effectively tolerate drought and shield farmers against severe yield loss due to drought stress. The study signified that development and adoption of transgenic drought tolerant maize hybrids can cushion against farm yield losses due to drought stress as part of an integrated approach in adaptation to climate change effects.
Collapse
Affiliation(s)
- Caleb O Obunyali
- African Agricultural Technology Foundation (AATF), P.O Box 30709, 00100 Nairobi Kenya.
| | - Kiru Pillay
- Bayer Crop Science. 27 Wrench Rd, Isando, Johannesburg 1600, South Africa.
| | - Barbara Meisel
- Bayer Crop Science. 27 Wrench Rd, Isando, Johannesburg 1600, South Africa.
| | - Eric N Ndou
- Agricultural Research Council (ARC)-Grain Crops Institute Private Bag X1251, Potchefstroom 2520, South Africa; Present address: Bayer Crop Science. 27 Wrench Rd, Isando, Johannesburg, 1600, South Africa.
| | - Kingstone Mashingaidze
- Agricultural Research Council (ARC)-Grain Crops Institute Private Bag X1251, Potchefstroom 2520, South Africa.
| | - Julius Pyton Sserumaga
- National Agricultural Research Organization, National Livestock Resources Research Institute (NaLIRRI), P.O. Box 5704, Kampala, Uganda.
| | - Godfrey Asea
- National Agricultural Research Organization, National Crops Resources Research Institute, P.O Box 7084, Kampala, Uganda.
| | - Murenga Mwimali
- Kenya Agricultural and Livestock Research Organization (KALRO) Agricultural Mechanization Research Institute, P.O. Box 340-90100 Machakos, Kenya.
| | - Regina Tende
- Kenya Agricultural and Livestock Research Organization (KALRO) Agricultural Mechanization Research Institute, P.O. Box 340-90100 Machakos, Kenya.
| | - Yoseph Beyene
- International Maize and Wheat Improvement Center (CIMMYT), P. O. Box 1041, Village Market, 00621, Nairobi, Kenya.
| | - Stephen Mugo
- International Maize and Wheat Improvement Center (CIMMYT), P. O. Box 1041, Village Market, 00621, Nairobi, Kenya; Present Address: Center for Resilient Agriculture for Africa (CRA-Africa), PO Box 286-00206 Kiserian, Kenya.
| | - Emmanuel Okogbenin
- African Agricultural Technology Foundation (AATF), P.O Box 30709, 00100 Nairobi Kenya.
| | - Sylvester O Oikeh
- African Agricultural Technology Foundation (AATF), P.O Box 30709, 00100 Nairobi Kenya.
| |
Collapse
|
2
|
Ayesiga SB, Rubaihayo P, Oloka BM, Dramadri IO, Edema R, Sserumaga JP. Genetic Variation Among Tropical Maize Inbred Lines from NARS and CGIAR Breeding Programs. Plant Mol Biol Report 2023; 41:209-217. [PMID: 37159650 PMCID: PMC10160135 DOI: 10.1007/s11105-022-01358-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 09/02/2022] [Indexed: 05/11/2023]
Abstract
The use of molecular markers allows for precise estimates of genetic diversity, which is an important parameter that enables breeders to select parental lines and designing breeding systems. We assessed the level of genetic diversity and population structure in a panel of 151 tropical maize inbred lines using 10,940 SNP (single nucleotide polymorphism) markers generated through the DArTseq genotyping platform. The average gene diversity was 0.39 with expected heterozygosity ranging from 0.00 to 0.84, and a mean of 0.02. Analysis of molecular variance showed that 97% of allelic diversity was attributed to individual inbred lines within the populations while only 3% was distributed among the populations. Both neighbor-joining clustering and STRUCTURE analysis classified the inbred lines into four major groups. The crosses that involve inbred lines from most divergent subgroups are expected to generate maximum heterosis and produce wide variation. The results will be beneficial for breeders to better understand and exploit the genetic diversity available in the set of maize inbred lines we studied. Supplementary Information The online version contains supplementary material available at 10.1007/s11105-022-01358-2.
Collapse
Affiliation(s)
- Stella Bigirwa Ayesiga
- Department of Agricultural Production, College of Agriculture and Environmental Sciences, Makerere University, P. O. Box 7062, Kampala, Uganda
- Makerere University Regional Center for Crop Improvement (MaRCCI), College of Agriculture and Environmental Sciences, Makerere University, P. O. Box 7062, Kampala, Uganda
| | - Patrick Rubaihayo
- Department of Agricultural Production, College of Agriculture and Environmental Sciences, Makerere University, P. O. Box 7062, Kampala, Uganda
| | - Bonny Michael Oloka
- National Crops Resources Research Institute, National Agricultural Research Organization, P.O. Box 7084, Kampala, Uganda
| | - Isaac Onziga Dramadri
- Department of Agricultural Production, College of Agriculture and Environmental Sciences, Makerere University, P. O. Box 7062, Kampala, Uganda
- Makerere University Regional Center for Crop Improvement (MaRCCI), College of Agriculture and Environmental Sciences, Makerere University, P. O. Box 7062, Kampala, Uganda
| | - Richard Edema
- Department of Agricultural Production, College of Agriculture and Environmental Sciences, Makerere University, P. O. Box 7062, Kampala, Uganda
- Makerere University Regional Center for Crop Improvement (MaRCCI), College of Agriculture and Environmental Sciences, Makerere University, P. O. Box 7062, Kampala, Uganda
| | - Julius Pyton Sserumaga
- National Livestock Resources Research Institute, National Agricultural Research Organization, P.O. Box 5704, Kampala, Uganda
| |
Collapse
|
3
|
Otim MH, Alibu S, Asea G, Abalo G, Sserumaga JP, Adumo S, Alupo J, Ochen S, Tefera T, Bruce AY, Beyene Y, Meisel B, Tende R, Nang'ayo F, Baguma Y, Mugo S, Oikeh SO. Performance of Bt maize event MON810 in controlling maize stem borers Chilo partellus and Busseola fusca in Uganda. Crop Prot 2022; 156:105945. [PMID: 35662834 PMCID: PMC8987732 DOI: 10.1016/j.cropro.2022.105945] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 02/11/2022] [Accepted: 02/13/2022] [Indexed: 06/15/2023]
Abstract
Stem borers are major insect pests of maize in Uganda. A study was conducted in 2014-2016 to assess the performance of Bt hybrids expressing Cry1Ab (event MON810) against the two major stem borer species in Uganda - the African stem borer (Busseola fusca) and the spotted stem borer (Chilo partellus) - under artificial infestation. The study comprised 14 non-commercialized hybrids, including seven pairs of Bt and non-Bt hybrids (isolines), three non-Bt commercial hybrids and a conventional stem borer resistant check. All stem borer damage parameters (leaf damage, number of internodes tunneled and tunnel length) were generally significantly lower in Bt hybrids than in their isolines, the conventionally resistant hybrid, and local commercial hybrids. Mean yields were significantly higher by 29.4-80.5% in the Bt hybrids than in the other three categories of non-Bt hybrids. This study demonstrated that Bt maize expressing Cry1Ab protects against leaf damage and can limit entry of stem borers into the stems of maize plants, resulting in higher yield than in the non-transgenic hybrids. Thus, Bt maize has potential to contribute to the overall management package of stem borers in Uganda.
Collapse
Affiliation(s)
- Michael H. Otim
- National Crops Resources Research Institute, Namulonge, P.O. Box 7084, Kampala, Uganda
| | - Simon Alibu
- National Crops Resources Research Institute, Namulonge, P.O. Box 7084, Kampala, Uganda
| | - Godfrey Asea
- National Crops Resources Research Institute, Namulonge, P.O. Box 7084, Kampala, Uganda
| | - Grace Abalo
- National Crops Resources Research Institute, Namulonge, P.O. Box 7084, Kampala, Uganda
| | - Julius Pyton Sserumaga
- National Livestock Resources Research Institute, National Agricultural Research Organization’, P.O. Box 5407, Kampala, Uganda
| | - Stella Adumo
- National Crops Resources Research Institute, Namulonge, P.O. Box 7084, Kampala, Uganda
| | - Jane Alupo
- National Crops Resources Research Institute, Namulonge, P.O. Box 7084, Kampala, Uganda
| | - Stephen Ochen
- National Crops Resources Research Institute, Namulonge, P.O. Box 7084, Kampala, Uganda
| | - Tadele Tefera
- International Maize and Wheat Improvement Center (CIMMYT). ICRAF House, United Nations, Avenue, Gigiri P.O. Box 1041, Village Market, 00621, Nairobi, Kenya
- International Centre of Insect Physiology and Ecology (ICIPE), ILRI Campus, Gurd Shola, PO Box 5689, Addis Ababa, Ethiopia
| | - Anani Y. Bruce
- International Maize and Wheat Improvement Center (CIMMYT). ICRAF House, United Nations, Avenue, Gigiri P.O. Box 1041, Village Market, 00621, Nairobi, Kenya
| | - Yoseph Beyene
- International Maize and Wheat Improvement Center (CIMMYT). ICRAF House, United Nations, Avenue, Gigiri P.O. Box 1041, Village Market, 00621, Nairobi, Kenya
| | - Barbara Meisel
- Bayer Crop Science, 27 Wrench Rd, Isando, Kempton Park, 1600, South Africa
| | - Regina Tende
- Kenya Agricultural and Livestock Research Organization, 340-90100, Katumani, Machakos, Kenya
| | | | - Yona Baguma
- National Agricultural Research Organization, P.O. Box 295, Entebbe, Uganda
| | - Stephen Mugo
- International Maize and Wheat Improvement Center (CIMMYT). ICRAF House, United Nations, Avenue, Gigiri P.O. Box 1041, Village Market, 00621, Nairobi, Kenya
- Center for Resilient Agriculture in Africa (CRA-Africa), PO Box 286-00206, Kiserian, Kenya
| | | |
Collapse
|
4
|
Sserumaga JP, Kayondo SI, Kigozi A, Kiggundu M, Namazzi C, Walusimbi K, Bugeza J, Molly A, Mugerwa S. Genome-wide diversity and structure variation among lablab [ Lablab purpureus (L.) Sweet] accessions and their implication in a Forage breeding program. Genet Resour Crop Evol 2021; 68:2997-3010. [PMID: 34720427 PMCID: PMC8550355 DOI: 10.1007/s10722-021-01171-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 03/09/2021] [Indexed: 05/25/2023]
Abstract
UNLABELLED Most orphan crops have not been fully sequenced, hence we rely on genome sequences of related species to align markers to different chromosomes. This hinders their utilisation in plant population improvement programs. Utilising the advances in the science of sequencing technologies, the population structure, relatedness, and genetic diversity among accessions can be assessed quickly for better exploitation in forage breeding programs. Using DArTseq technology, we studied the genetic and structural variation in 65 Lablab purpureus (L.) Sweet conserved gene-bank accessions using 9320 DArTseq-based SNPs and 15,719 SilicoDart markers. These markers had a low discriminating ability with mean polymorphic information content (P.I.C.) of 0.14 with DArTseq-based SNPs and 0.13 with SilicoDart markers. However, the markers had a high mean call rate of 73% with DArTseq-based SNPs and 97% with SilicoDart markers. Analysis of molecular variance revealed a high within populations variance (99.4%), indicating a high gene exchange or low genetic differentiation (PhiPT = 0.0057) among the populations. Structure analysis showed three allelic pools in variable clusters of ΔK = 3 and 6. Phylogenetic tree of lablab accessions showed three main groups with variable membership coefficients. Most pairs of accessions (40.3%) had genetic distances between 0.10 and 0.15 for SilicoDart markers, while for DArTseq-based SNPs, (46.5%) had genetic distances between 0.20 and 0.25. Phylogenetic clustering and minimum spanning analysis divided the 65 accessions into three groups, irrespective of their origin. For the first time, this study produced high-density markers with good genom coverage. The utilisation of these accessions in a forage program will base on the information from molecular-based grouping. The outcomes uncovered the presence of noteworthy measure of variety in Uganda, CIAT and ILRI accessions, thus demonstrating an opportunity for further marker-trait-association studies. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s10722-021-01171-y.
Collapse
Affiliation(s)
- Julius Pyton Sserumaga
- National Agricultural Research Organization; National Livestock Resources Research Institute, P.O. Box 5407, Kampala, Uganda
| | - Siraj Ismail Kayondo
- National Agricultural Research Organization; National Livestock Resources Research Institute, P.O. Box 5407, Kampala, Uganda
- Present Address: International Institute of Tropical Agriculture, Ibadan, Nigeria
| | - Abasi Kigozi
- National Agricultural Research Organization; National Livestock Resources Research Institute, P.O. Box 5407, Kampala, Uganda
| | - Muhammad Kiggundu
- National Agricultural Research Organization; National Livestock Resources Research Institute, P.O. Box 5407, Kampala, Uganda
| | - Clementine Namazzi
- National Agricultural Research Organization; National Livestock Resources Research Institute, P.O. Box 5407, Kampala, Uganda
| | - Kato Walusimbi
- National Agricultural Research Organization; National Livestock Resources Research Institute, P.O. Box 5407, Kampala, Uganda
| | - James Bugeza
- National Agricultural Research Organization; National Livestock Resources Research Institute, P.O. Box 5407, Kampala, Uganda
| | - Allen Molly
- National Agricultural Research Organization; National Livestock Resources Research Institute, P.O. Box 5407, Kampala, Uganda
| | - Swidiq Mugerwa
- National Agricultural Research Organization; National Livestock Resources Research Institute, P.O. Box 5407, Kampala, Uganda
| |
Collapse
|
5
|
Sserumaga JP, Makumbi D, Assanga SO, Mageto EK, Njeri SG, Jumbo BM, Bruce AY. Identification and diversity of tropical maize inbred lines with resistance to common rust ( Puccinia sorghi Schwein). Crop Sci 2020; 60:2971-2989. [PMID: 33536660 PMCID: PMC7839556 DOI: 10.1002/csc2.20345] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 09/14/2020] [Indexed: 05/20/2023]
Abstract
Common rust (CR) caused by Puccinia sorghi Schwein is one of the major foliar diseases of maize (Zea mays L.) in Eastern and Southern Africa. This study was conducted to (i) evaluate the response of elite tropical adapted maize inbred lines to Puccinia sorghi and identify resistant lines (ii) examine associations between CR disease parameters and agronomic traits, and (iii) assess the genetic diversity of the inbred lines. Fifty inbred lines were evaluated in field trials for three seasons (2017-2019) in Uganda under artificial inoculation. Disease severity was rated on a 1-9 scale at 21 (Rust 1), 28 (Rust 2), and 35 (Rust 3) days after inoculation. Area under disease progress curve (AUDPC) was calculated. The genetic diversity of the lines was assessed using 44,975 single nucleotide polymorphism markers. Combined ANOVA across seasons showed significant (P < .001) line mean squares for the three rust scores and AUDPC. Heritability was high for Rust 2 (0.90), Rust 3 (0.83), and AUDPC (0.93). Of the 50 lines, 12 were highly resistant to CR. Inbred lines CKL1522, CKL05010, and CKL05017 had significantly lower Rust 3 scores and AUDPC compared to the resistant check CML444 and are potential donors of CR resistance alleles. The genetic correlations between CR disease resistance parameters were positive and strong. A neighbor-joining (NJ) tree and STRUCTURE suggested the presence of three major groups among the lines, with lines highly resistant to CR spread across the three groups. The genetic diversity among the highly resistant lines can be exploited by recycling genetically distant lines to develop new multiple disease resistant inbred lines for hybrid development and deployment.
Collapse
Affiliation(s)
- Julius Pyton Sserumaga
- National Agricultural Research Organization (NARO)National Livestock Resources Research Institute (NaLIRRI)P.O. Box 5704KampalaUganda
| | - Dan Makumbi
- International Maize and Wheat Improvement Center (CIMMYT)P.O. Box 1041‐00621NairobiKenya
| | - Silvano O. Assanga
- International Maize and Wheat Improvement Center (CIMMYT)P.O. Box 1041‐00621NairobiKenya
- Bayer Crop Science1506 Hwy 69 Suite 100WacoNE68460USA
| | - Edna K. Mageto
- International Maize and Wheat Improvement Center (CIMMYT)P.O. Box 1041‐00621NairobiKenya
- AgReliant Genetics LLC1249 South AvenueBooneIA50036USA
| | - Susan G. Njeri
- International Maize and Wheat Improvement Center (CIMMYT)P.O. Box 1041‐00621NairobiKenya
- Crop Science DivisionBayer East Africa Ltd.P.O. Box 30321‐00100NairobiKenya
| | - Bright M. Jumbo
- International Maize and Wheat Improvement Center (CIMMYT)P.O. Box 1041‐00621NairobiKenya
| | - Anani Y. Bruce
- International Maize and Wheat Improvement Center (CIMMYT)P.O. Box 1041‐00621NairobiKenya
| |
Collapse
|
6
|
Sserumaga JP, Beyene Y, Pillay K, Kullaya A, Oikeh SO, Mugo S, Machida L, Ngolinda I, Asea G, Ringo J, Otim M, Abalo G, Kiula B. Grain-yield stability among tropical maize hybrids derived from doubled-haploid inbred lines under random drought stress and optimum moisture conditions. Crop Pasture Sci 2018; 69:691-712. [PMID: 33312239 PMCID: PMC7680931 DOI: 10.1071/cp17348] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Accepted: 06/13/2018] [Indexed: 05/20/2023]
Abstract
Drought is a devastating environmental stress in agriculture and hence a common target of plant breeding. A review of breeding progress on drought tolerance shows that, to a certain extent, selection for high yield in stress-free conditions indirectly improves yield in water-limiting conditions. The objectives of this study were to (i) assess the genotype × environment (GE) interaction for grain yield (GY) and other agronomic traits for maize (Zea mays L.) across East African agro-ecologies; and (ii) evaluate agronomic performance and stability in Uganda and Tanzania under optimum and random drought conditions. Data were recorded for major agronomic traits. Genotype main effect plus GE (GGE) biplot analysis was used to assess the stability of varieties within various environments and across environments. Combined analysis of variance across optimum moisture and random drought environments indicated that locations, mean-squares for genotypes and GE were significant for most measured traits. The best hybrids, CKDHH1097 and CKDHH1090, gave GY advantages of 23% and 43%, respectively, over the commercial hybrid varieties under both optimum-moisture and random-drought conditions. Across environments, genotypic variance was less than the GE variance for GY. The hybrids derived from doubled-haploid inbred lines produced higher GY and possessed acceptable agronomic traits compared with the commercial hybrids. Hybrid CKDHH1098 ranked second-best under optimum-moisture and drought-stress environments and was the most stable with broad adaptation to both environments. Use of the best doubled-haploids lines in testcross hybrids make-up, well targeted to the production environments, could boost maize production among farmers in East Africa.
Collapse
Affiliation(s)
- Julius Pyton Sserumaga
- National Agricultural Research Organisation, National Crops Resources Research Institute, Namulonge, PO Box 7084 Kampala, Uganda
- Corresponding author.
| | - Yoseph Beyene
- International Maize and Wheat Improvement Center (CIMMYT), ICRAF House, UN Avenue, Gigiri, Village Market, PO Box 1041-00621, Nairobi, Kenya
| | - Kiru Pillay
- Monsanto, 2 Vermeulen Straat, Petit, 1512, South Africa
| | - Alois Kullaya
- Mikocheni Agricultural Research Institute, PO Box 6226, Dar es Salaam, Tanzania
| | - Sylvester O. Oikeh
- African Agricultural Technology Foundation (AATF), PO Box 30709-00100, Nairobi, Kenya
| | - Stephen Mugo
- International Maize and Wheat Improvement Center (CIMMYT), ICRAF House, UN Avenue, Gigiri, Village Market, PO Box 1041-00621, Nairobi, Kenya
| | - Lewis Machida
- International Maize and Wheat Improvement Center (CIMMYT), ICRAF House, UN Avenue, Gigiri, Village Market, PO Box 1041-00621, Nairobi, Kenya
| | - Ismail Ngolinda
- Ilonga Agricultural Research Institute, PO Box 33, Kilosa, Morogoro, Tanzania
| | - Godfrey Asea
- National Agricultural Research Organisation, National Crops Resources Research Institute, Namulonge, PO Box 7084 Kampala, Uganda
| | - Justin Ringo
- Ilonga Agricultural Research Institute, PO Box 33, Kilosa, Morogoro, Tanzania
| | - Michael Otim
- National Agricultural Research Organisation, National Crops Resources Research Institute, Namulonge, PO Box 7084 Kampala, Uganda
| | - Grace Abalo
- National Agricultural Research Organisation, National Crops Resources Research Institute, Namulonge, PO Box 7084 Kampala, Uganda
| | - Barnabas Kiula
- Ilonga Agricultural Research Institute, PO Box 33, Kilosa, Morogoro, Tanzania
| |
Collapse
|