| 000 | 04022nab|a22004697a|4500 | ||
|---|---|---|---|
| 001 | 67594 | ||
| 003 | MX-TxCIM | ||
| 005 | 20241126120502.0 | ||
| 008 | 20245s2024||||mx |||p|op||||00||0|eng|d | ||
| 022 | _a2571-581X (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.3389/fsufs.2024.1391989 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 1 |
_aNdlovu, N. _929269 |
|
| 245 | 1 | 0 | _aGenomic loci associated with grain yield under well-watered and water-stressed conditions in multiple bi-parental maize populations |
| 260 |
_bFrontiers, _c2024. _aSwitzerland : |
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| 500 | _aPeer review | ||
| 500 | _aOpen Access | ||
| 520 | _aSmallholder 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. | ||
| 546 | _aText in English | ||
| 591 | _aNdlovu, N. : Not in IRS staff list but CIMMYT Affiliation | ||
| 650 | 7 |
_aDrought stress _2AGROVOC _91081 |
|
| 650 | 7 |
_aMaize _2AGROVOC _91173 |
|
| 650 | 7 |
_aQuantitative trait loci mapping _2AGROVOC _929051 |
|
| 650 | 7 |
_aGrain _2AGROVOC _91138 |
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| 650 | 7 |
_aYields _2AGROVOC _91313 |
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| 650 | 7 |
_aMarker-assisted selection _2AGROVOC _910737 |
|
| 651 | 7 |
_aAfrica South of Sahara _2AGROVOC _91950 |
|
| 700 | 1 |
_aGowda, M. _gGlobal Maize Program _8I1705963 _9795 |
|
| 700 | 1 |
_aBeyene, Y. _gGlobal Maize Program _8INT2891 _9870 |
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| 700 | 1 |
_aChaikam, V. _gGlobal Maize Program _8INT3356 _9936 |
|
| 700 | 1 |
_aNzuve, F.M. _927223 |
|
| 700 | 1 |
_aMakumbi, D. _gGlobal Maize Program _8INT2765 _9858 |
|
| 700 | 1 |
_aMcKeown, P.C. _929270 |
|
| 700 | 1 |
_aSpillane, C. _9319 |
|
| 700 | 1 |
_aPrasanna, B.M. _gGlobal Maize Program _8INT3057 _9887 |
|
| 773 | 0 |
_tFrontiers in Sustainable Food Systems _gv. 8, art. 1391989 _dSwitzerland : Frontiers, 2024 _x2571-581X |
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| 856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/34579 |
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| 942 |
_cJA _n0 _2ddc |
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| 999 |
_c67594 _d67586 |
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