Discovery of genomic regions associated with grain yield and agronomic traits in Bi-parental populations of maize (Zea mays. L) Under optimum and low nitrogen conditions
Low soil nitrogen levels, compounded by the high costs associated with nitrogen supplementation through fertilizers, significantly contribute to food insecurity, malnutrition, and rural poverty in maize-dependent smallholder communities of sub-Saharan Africa (SSA). The discovery of genomic regions a...
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| Format: | Article |
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Frontiers Media S.A.
2023-10-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2023.1266402/full |
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| author | Collins Kimutai Collins Kimutai Noel Ndlovu Vijay Chaikam Berhanu Tadesse Ertiro Biswanath Das Yoseph Beyene Oliver Kiplagat Charles Spillane Boddupalli M. Prasanna Manje Gowda |
| author_facet | Collins Kimutai Collins Kimutai Noel Ndlovu Vijay Chaikam Berhanu Tadesse Ertiro Biswanath Das Yoseph Beyene Oliver Kiplagat Charles Spillane Boddupalli M. Prasanna Manje Gowda |
| author_sort | Collins Kimutai |
| collection | DOAJ |
| description | Low soil nitrogen levels, compounded by the high costs associated with nitrogen supplementation through fertilizers, significantly contribute to food insecurity, malnutrition, and rural poverty in maize-dependent smallholder communities of sub-Saharan Africa (SSA). The discovery of genomic regions associated with low nitrogen tolerance in maize can enhance selection efficiency and facilitate the development of improved varieties. To elucidate the genetic architecture of grain yield (GY) and its associated traits (anthesis-silking interval (ASI), anthesis date (AD), plant height (PH), ear position (EPO), and ear height (EH)) under different soil nitrogen regimes, four F3 maize populations were evaluated in Kenya and Zimbabwe. GY and all the traits evaluated showed significant genotypic variance and moderate heritability under both optimum and low nitrogen stress conditions. A total of 91 quantitative trait loci (QTL) related to GY (11) and other secondary traits (AD (26), PH (19), EH (24), EPO (7) and ASI (4)) were detected. Under low soil nitrogen conditions, PH and ASI had the highest number of QTLs. Furthermore, some common QTLs were identified between secondary traits under both nitrogen regimes. These QTLs are of significant value for further validation and possible rapid introgression into maize populations using marker-assisted selection. Identification of many QTL with minor effects indicates genomic selection (GS) is more appropriate for their improvement. Genomic prediction within each population revealed low to moderately high accuracy under optimum and low soil N stress management. However, the accuracies were higher for GY, PH and EH under optimum compared to low soil N stress. Our findings indicate that genetic gain can be improved in maize breeding for low N stress tolerance by using GS. |
| first_indexed | 2024-03-11T15:34:15Z |
| format | Article |
| id | doaj.art-968c1c17d8c746fd9053bbbb26780de1 |
| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-03-11T15:34:15Z |
| publishDate | 2023-10-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Genetics |
| spelling | doaj.art-968c1c17d8c746fd9053bbbb26780de12023-10-27T00:23:08ZengFrontiers Media S.A.Frontiers in Genetics1664-80212023-10-011410.3389/fgene.2023.12664021266402Discovery of genomic regions associated with grain yield and agronomic traits in Bi-parental populations of maize (Zea mays. L) Under optimum and low nitrogen conditionsCollins Kimutai0Collins Kimutai1Noel Ndlovu2Vijay Chaikam3Berhanu Tadesse Ertiro4Biswanath Das5Yoseph Beyene6Oliver Kiplagat7Charles Spillane8Boddupalli M. Prasanna9Manje Gowda10Seed, Crop and Horticultural Sciences, School of Agriculture and Biotechnology, University of Eldoret, Eldoret, KenyaInternational Maize and Wheat Improvement Center (CIMMYT), Nairobi, KenyaAgriculture and Bioeconomy Research Centre, Ryan Institute, University of Galway, Galway, IrelandInternational Maize and Wheat Improvement Center (CIMMYT), Nairobi, KenyaInternational Maize and Wheat Improvement Center (CIMMYT), Nairobi, KenyaInternational Maize and Wheat Improvement Center (CIMMYT), Nairobi, KenyaInternational Maize and Wheat Improvement Center (CIMMYT), Nairobi, KenyaSeed, Crop and Horticultural Sciences, School of Agriculture and Biotechnology, University of Eldoret, Eldoret, KenyaAgriculture and Bioeconomy Research Centre, Ryan Institute, University of Galway, Galway, IrelandInternational Maize and Wheat Improvement Center (CIMMYT), Nairobi, KenyaInternational Maize and Wheat Improvement Center (CIMMYT), Nairobi, KenyaLow soil nitrogen levels, compounded by the high costs associated with nitrogen supplementation through fertilizers, significantly contribute to food insecurity, malnutrition, and rural poverty in maize-dependent smallholder communities of sub-Saharan Africa (SSA). The discovery of genomic regions associated with low nitrogen tolerance in maize can enhance selection efficiency and facilitate the development of improved varieties. To elucidate the genetic architecture of grain yield (GY) and its associated traits (anthesis-silking interval (ASI), anthesis date (AD), plant height (PH), ear position (EPO), and ear height (EH)) under different soil nitrogen regimes, four F3 maize populations were evaluated in Kenya and Zimbabwe. GY and all the traits evaluated showed significant genotypic variance and moderate heritability under both optimum and low nitrogen stress conditions. A total of 91 quantitative trait loci (QTL) related to GY (11) and other secondary traits (AD (26), PH (19), EH (24), EPO (7) and ASI (4)) were detected. Under low soil nitrogen conditions, PH and ASI had the highest number of QTLs. Furthermore, some common QTLs were identified between secondary traits under both nitrogen regimes. These QTLs are of significant value for further validation and possible rapid introgression into maize populations using marker-assisted selection. Identification of many QTL with minor effects indicates genomic selection (GS) is more appropriate for their improvement. Genomic prediction within each population revealed low to moderately high accuracy under optimum and low soil N stress management. However, the accuracies were higher for GY, PH and EH under optimum compared to low soil N stress. Our findings indicate that genetic gain can be improved in maize breeding for low N stress tolerance by using GS.https://www.frontiersin.org/articles/10.3389/fgene.2023.1266402/fullgrain yieldlow soil nitrogenmaizesub-Saharan Africaquantitative trait loci (QTL) |
| spellingShingle | Collins Kimutai Collins Kimutai Noel Ndlovu Vijay Chaikam Berhanu Tadesse Ertiro Biswanath Das Yoseph Beyene Oliver Kiplagat Charles Spillane Boddupalli M. Prasanna Manje Gowda Discovery of genomic regions associated with grain yield and agronomic traits in Bi-parental populations of maize (Zea mays. L) Under optimum and low nitrogen conditions Frontiers in Genetics grain yield low soil nitrogen maize sub-Saharan Africa quantitative trait loci (QTL) |
| title | Discovery of genomic regions associated with grain yield and agronomic traits in Bi-parental populations of maize (Zea mays. L) Under optimum and low nitrogen conditions |
| title_full | Discovery of genomic regions associated with grain yield and agronomic traits in Bi-parental populations of maize (Zea mays. L) Under optimum and low nitrogen conditions |
| title_fullStr | Discovery of genomic regions associated with grain yield and agronomic traits in Bi-parental populations of maize (Zea mays. L) Under optimum and low nitrogen conditions |
| title_full_unstemmed | Discovery of genomic regions associated with grain yield and agronomic traits in Bi-parental populations of maize (Zea mays. L) Under optimum and low nitrogen conditions |
| title_short | Discovery of genomic regions associated with grain yield and agronomic traits in Bi-parental populations of maize (Zea mays. L) Under optimum and low nitrogen conditions |
| title_sort | discovery of genomic regions associated with grain yield and agronomic traits in bi parental populations of maize zea mays l under optimum and low nitrogen conditions |
| topic | grain yield low soil nitrogen maize sub-Saharan Africa quantitative trait loci (QTL) |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2023.1266402/full |
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