Genetic gains in tropical maize hybrids across moisture regimes with multi-trait-based index selection
Unpredictable weather vagaries in the Asian tropics often increase the risk of a series of abiotic stresses in maize-growing areas, hindering the efforts to reach the projected demands. Breeding climate-resilient maize hybrids with a cross-tolerance to drought and waterlogging is necessary yet chall...
| Main Authors: | , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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Frontiers Media
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/132644 |
| _version_ | 1855523070638292992 |
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| author | Singamsetti, Ashok Zaidi, Pervez Haider Seetharam, Kaliyamoorthy Vinayan, Madhumal Thayil Olivoto, Tiago Mahato, Anima Madankar, Madankar Kumar, Munnesh Shikha, Kumari |
| author_browse | Kumar, Munnesh Madankar, Madankar Mahato, Anima Olivoto, Tiago Seetharam, Kaliyamoorthy Shikha, Kumari Singamsetti, Ashok Vinayan, Madhumal Thayil Zaidi, Pervez Haider |
| author_facet | Singamsetti, Ashok Zaidi, Pervez Haider Seetharam, Kaliyamoorthy Vinayan, Madhumal Thayil Olivoto, Tiago Mahato, Anima Madankar, Madankar Kumar, Munnesh Shikha, Kumari |
| author_sort | Singamsetti, Ashok |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Unpredictable weather vagaries in the Asian tropics often increase the risk of a series of abiotic stresses in maize-growing areas, hindering the efforts to reach the projected demands. Breeding climate-resilient maize hybrids with a cross-tolerance to drought and waterlogging is necessary yet challenging because of the presence of genotype-by-environment interaction (GEI) and the lack of an efficient multi-trait-based selection technique. The present study aimed at estimating the variance components, genetic parameters, inter-trait relations, and expected selection gains (SGs) across the soil moisture regimes through genotype selection obtained based on the novel multi-trait genotype–ideotype distance index (MGIDI) for a set of 75 tropical pre-released maize hybrids. Twelve traits including grain yield and other secondary characteristics for experimental maize hybrids were studied at two locations. Positive and negative SGs were estimated across moisture regimes, including drought, waterlogging, and optimal moisture conditions. Hybrid, moisture condition, and hybrid-by-moisture condition interaction effects were significant (p ≤ 0.001) for most of the traits studied. Eleven genotypes were selected in each moisture condition through MGIDI by assuming 15% selection intensity where two hybrids, viz., ZH161289 and ZH161303, were found to be common across all the moisture regimes, indicating their moisture stress resilience, a unique potential for broader adaptation in rainfed stress-vulnerable ecologies. The selected hybrids showed desired genetic gains such as positive gains for grain yield (almost 11% in optimal and drought; 22% in waterlogging) and negative gains in flowering traits. The view on strengths and weaknesses as depicted by the MGIDI assists the breeders to develop maize hybrids with desired traits, such as grain yield and other yield contributors under specific stress conditions. The MGIDI would be a robust and easy-to-handle multi-trait selection process under various test environments with minimal multicollinearity issues. It was found to be a powerful tool in developing better selection strategies and optimizing the breeding scheme, thus contributing to the development of climate-resilient maize hybrids. |
| format | Journal Article |
| id | CGSpace132644 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1326442025-12-08T10:29:22Z Genetic gains in tropical maize hybrids across moisture regimes with multi-trait-based index selection Singamsetti, Ashok Zaidi, Pervez Haider Seetharam, Kaliyamoorthy Vinayan, Madhumal Thayil Olivoto, Tiago Mahato, Anima Madankar, Madankar Kumar, Munnesh Shikha, Kumari genotype environment interaction moisture content drought waterlogging climate resilience maize genetic gain Unpredictable weather vagaries in the Asian tropics often increase the risk of a series of abiotic stresses in maize-growing areas, hindering the efforts to reach the projected demands. Breeding climate-resilient maize hybrids with a cross-tolerance to drought and waterlogging is necessary yet challenging because of the presence of genotype-by-environment interaction (GEI) and the lack of an efficient multi-trait-based selection technique. The present study aimed at estimating the variance components, genetic parameters, inter-trait relations, and expected selection gains (SGs) across the soil moisture regimes through genotype selection obtained based on the novel multi-trait genotype–ideotype distance index (MGIDI) for a set of 75 tropical pre-released maize hybrids. Twelve traits including grain yield and other secondary characteristics for experimental maize hybrids were studied at two locations. Positive and negative SGs were estimated across moisture regimes, including drought, waterlogging, and optimal moisture conditions. Hybrid, moisture condition, and hybrid-by-moisture condition interaction effects were significant (p ≤ 0.001) for most of the traits studied. Eleven genotypes were selected in each moisture condition through MGIDI by assuming 15% selection intensity where two hybrids, viz., ZH161289 and ZH161303, were found to be common across all the moisture regimes, indicating their moisture stress resilience, a unique potential for broader adaptation in rainfed stress-vulnerable ecologies. The selected hybrids showed desired genetic gains such as positive gains for grain yield (almost 11% in optimal and drought; 22% in waterlogging) and negative gains in flowering traits. The view on strengths and weaknesses as depicted by the MGIDI assists the breeders to develop maize hybrids with desired traits, such as grain yield and other yield contributors under specific stress conditions. The MGIDI would be a robust and easy-to-handle multi-trait selection process under various test environments with minimal multicollinearity issues. It was found to be a powerful tool in developing better selection strategies and optimizing the breeding scheme, thus contributing to the development of climate-resilient maize hybrids. 2023 2023-11-01T16:58:50Z 2023-11-01T16:58:50Z Journal Article https://hdl.handle.net/10568/132644 en Open Access application/pdf Frontiers Media Singamsetti, A., Zaidi, P. H., Seetharam, K., Vinayan, M. T., Olivoto, T., Mahato, A., Madankar, K., Kumar, M., & Shikha, K. (2023). Genetic gains in tropical maize hybrids across moisture regimes with multi-trait-based index selection. Frontiers in Plant Science, 14. https://doi.org/10.3389/fpls.2023.1147424 |
| spellingShingle | genotype environment interaction moisture content drought waterlogging climate resilience maize genetic gain Singamsetti, Ashok Zaidi, Pervez Haider Seetharam, Kaliyamoorthy Vinayan, Madhumal Thayil Olivoto, Tiago Mahato, Anima Madankar, Madankar Kumar, Munnesh Shikha, Kumari Genetic gains in tropical maize hybrids across moisture regimes with multi-trait-based index selection |
| title | Genetic gains in tropical maize hybrids across moisture regimes with multi-trait-based index selection |
| title_full | Genetic gains in tropical maize hybrids across moisture regimes with multi-trait-based index selection |
| title_fullStr | Genetic gains in tropical maize hybrids across moisture regimes with multi-trait-based index selection |
| title_full_unstemmed | Genetic gains in tropical maize hybrids across moisture regimes with multi-trait-based index selection |
| title_short | Genetic gains in tropical maize hybrids across moisture regimes with multi-trait-based index selection |
| title_sort | genetic gains in tropical maize hybrids across moisture regimes with multi trait based index selection |
| topic | genotype environment interaction moisture content drought waterlogging climate resilience maize genetic gain |
| url | https://hdl.handle.net/10568/132644 |
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