Genomic loci associated with grain yield under well-watered and water-stressed conditions in multiple bi-parental maize populations
Smallholder maize farming systems in sub-Saharan Africa (SSA) are vulnerable to drought-induced yield losses, which significantly impact food security and livelihoods within these communities. Mapping and characterizing genomic regions associated with water stress tolerance in tropical maize is esse...
| Autores principales: | , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Frontiers Media
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/162535 |
| _version_ | 1855515139078356992 |
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| author | Ndlovu, Noel Gowda, Manje Beyene, Yoseph Chaikam, Vijay Nzuve, Felister M. Makumbi, Dan McKeown, Peter C. Spillane, Charles Prasanna, Boddupalli M. |
| author_browse | Beyene, Yoseph Chaikam, Vijay Gowda, Manje Makumbi, Dan McKeown, Peter C. Ndlovu, Noel Nzuve, Felister M. Prasanna, Boddupalli M. Spillane, Charles |
| author_facet | Ndlovu, Noel Gowda, Manje Beyene, Yoseph Chaikam, Vijay Nzuve, Felister M. Makumbi, Dan McKeown, Peter C. Spillane, Charles Prasanna, Boddupalli M. |
| author_sort | Ndlovu, Noel |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Smallholder maize farming systems in sub-Saharan Africa (SSA) are vulnerable to drought-induced yield losses, which significantly impact food security and livelihoods within these communities. Mapping and characterizing genomic regions associated with water stress tolerance in tropical maize is essential for future breeding initiatives targeting this region. In this study, three biparental F3 populations composed of 753 families were evaluated in Kenya and Zimbabwe and genotyped with high-density single nucleotide polymorphism (SNP) markers. Quantitative trait loci maping was performed on these genotypes to dissect the genetic architecture for grain yield (GY), plant height (PH), ear height (EH) and anthesis-silking interval (ASI) under well-watered (WW) and water-stressed (WS) conditions. Across the studied maize populations, mean GY exhibited a range of 4.55-8.55 t/ha under WW and 1.29-5.59 t/ha under WS, reflecting a 31-59% reduction range under WS conditions. Genotypic and genotype-by-environment (G x E) variances were significant for all traits except ASI. Overall broad sense heritabilities for GY were low to high (0.25-0.60). For GY, these genetic parameters were decreased under WS conditions. Linkage mapping revealed a significant difference in the number of QTLs detected, with 93 identified under WW conditions and 41 under WS conditions. These QTLs were distributed across all maize chromosomes. For GY, eight and two major effect QTLs (>10% phenotypic variation explained) were detected under WW and WS conditions, respectively. Under WS conditions, Joint Linkage Association Mapping (JLAM) identified several QTLs with minor effects for GY and revealed genomic region overlaps in the studied populations. Across the studied water regimes, five-fold cross-validation showed moderate to high prediction accuracies (-0.15-0.90) for GY and other agronomic traits. Our findings demonstrate the polygenic nature of WS tolerance and highlights the immense potential of using genomic selection in improving genetic gain in maize breeding. |
| format | Journal Article |
| id | CGSpace162535 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1625352025-12-08T10:29:22Z Genomic loci associated with grain yield under well-watered and water-stressed conditions in multiple bi-parental maize populations Ndlovu, Noel Gowda, Manje Beyene, Yoseph Chaikam, Vijay Nzuve, Felister M. Makumbi, Dan McKeown, Peter C. Spillane, Charles Prasanna, Boddupalli M. drought stress maize quantitative trait loci mapping grain yields marker-assisted selection Smallholder maize farming systems in sub-Saharan Africa (SSA) are vulnerable to drought-induced yield losses, which significantly impact food security and livelihoods within these communities. Mapping and characterizing genomic regions associated with water stress tolerance in tropical maize is essential for future breeding initiatives targeting this region. In this study, three biparental F3 populations composed of 753 families were evaluated in Kenya and Zimbabwe and genotyped with high-density single nucleotide polymorphism (SNP) markers. Quantitative trait loci maping was performed on these genotypes to dissect the genetic architecture for grain yield (GY), plant height (PH), ear height (EH) and anthesis-silking interval (ASI) under well-watered (WW) and water-stressed (WS) conditions. Across the studied maize populations, mean GY exhibited a range of 4.55-8.55 t/ha under WW and 1.29-5.59 t/ha under WS, reflecting a 31-59% reduction range under WS conditions. Genotypic and genotype-by-environment (G x E) variances were significant for all traits except ASI. Overall broad sense heritabilities for GY were low to high (0.25-0.60). For GY, these genetic parameters were decreased under WS conditions. Linkage mapping revealed a significant difference in the number of QTLs detected, with 93 identified under WW conditions and 41 under WS conditions. These QTLs were distributed across all maize chromosomes. For GY, eight and two major effect QTLs (>10% phenotypic variation explained) were detected under WW and WS conditions, respectively. Under WS conditions, Joint Linkage Association Mapping (JLAM) identified several QTLs with minor effects for GY and revealed genomic region overlaps in the studied populations. Across the studied water regimes, five-fold cross-validation showed moderate to high prediction accuracies (-0.15-0.90) for GY and other agronomic traits. Our findings demonstrate the polygenic nature of WS tolerance and highlights the immense potential of using genomic selection in improving genetic gain in maize breeding. 2024-05 2024-11-21T15:49:33Z 2024-11-21T15:49:33Z Journal Article https://hdl.handle.net/10568/162535 en Open Access application/pdf Frontiers Media Ndlovu, N., Gowda, M., Beyene, Y., Chaikam, V., Nzuve, F. M., Makumbi, D., McKeown, P. C., Spillane, C., & Prasanna, B. M. (2024). Genomic loci associated with grain yield under well-watered and water-stressed conditions in multiple bi-parental maize populations. Frontiers in Sustainable Food Systems, 8, 1391989. https://doi.org/10.3389/fsufs.2024.1391989 |
| spellingShingle | drought stress maize quantitative trait loci mapping grain yields marker-assisted selection Ndlovu, Noel Gowda, Manje Beyene, Yoseph Chaikam, Vijay Nzuve, Felister M. Makumbi, Dan McKeown, Peter C. Spillane, Charles Prasanna, Boddupalli M. Genomic loci associated with grain yield under well-watered and water-stressed conditions in multiple bi-parental maize populations |
| title | Genomic loci associated with grain yield under well-watered and water-stressed conditions in multiple bi-parental maize populations |
| title_full | Genomic loci associated with grain yield under well-watered and water-stressed conditions in multiple bi-parental maize populations |
| title_fullStr | Genomic loci associated with grain yield under well-watered and water-stressed conditions in multiple bi-parental maize populations |
| title_full_unstemmed | Genomic loci associated with grain yield under well-watered and water-stressed conditions in multiple bi-parental maize populations |
| title_short | Genomic loci associated with grain yield under well-watered and water-stressed conditions in multiple bi-parental maize populations |
| title_sort | genomic loci associated with grain yield under well watered and water stressed conditions in multiple bi parental maize populations |
| topic | drought stress maize quantitative trait loci mapping grain yields marker-assisted selection |
| url | https://hdl.handle.net/10568/162535 |
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