000 03833nab|a22004577a|4500
001 69564
003 MX-TxCIM
005 20251223161419.0
008 251120s2025 sz ||||| |||| 00| 0 eng d
022 _a2073-4425
024 8 _ahttps://doi.org/10.3390/genes16010064
040 _aMX-TxCIM
041 _aeng
100 0 _aSaba Baba Mohammed
_934293
245 1 0 _aQuantitative Trait Loci for phenology, yield, and phosphorus use efficiency in cowpea
260 _aBasel (Switzerland) :
_bMDPI,
_c2025.
500 _aPeer review
500 _aOpen Access
520 _aBackground/Objectives: Cowpea is an important legume crop in sub-Saharan Africa (SSA) and beyond. However, access to phosphorus (P), a critical element for plant growth and development, is a significant constraint in SSA. Thus, it is essential to have high P-use efficiency varieties to achieve increased yields in environments where little-to- no phosphate fertilizers are applied. Methods: In this study, crop phenology, yield, and grain P efficiency traits were assessed in two recombinant inbred line (RIL) populations across ten environments under high- and low-P soil conditions to identify traits’ response to different soil P levels and associated quantitative trait loci (QTLs). Single-environment (SEA) and multi-environment (MEA) QTL analyses were conducted for days to flowering (DTF), days to maturity (DTM), biomass yield (BYLD), grain yield (GYLD), grain P-use efficiency (gPUE) and grain P-uptake efficiency (gPUpE). Results: Phenotypic data indicated significant variation among the RILs, and inadequate soil P had a negative impact on flowering, maturity, and yield traits. A total of 40 QTLs were identified by SEA, with most explaining greater than 10% of the phenotypic variance, indicating that many major-effect QTLs contributed to the genetic component of these traits. Similarly, MEA identified 23 QTLs associated with DTF, DTM, GYLD, and gPUpE under high- and low-P environments. Thirty percent (12/40) of the QTLs identified by SEA were also found by MEA, and some of those were identified in more than one P environment, highlighting their potential in breeding programs targeting PUE. QTLs on chromosomes Vu03 and Vu08 exhibited consistent effects under both high- and low-P conditions. In addition, candidate genes underlying the QTL regions were identified. Conclusions: This study lays the foundation for molecular breeding for PUE and contributes to understanding the genetic basis of cowpea response in different soil P conditions. Some of the identified genomic loci, many being novel QTLs, could be deployed in marker-aided selection and fine mapping of candidate genes.
546 _aText in English
597 _bAccelerated Breeding
_bBreeding Resources
_bClimate Resilience
_aClimate adaptation & mitigation
_aNutrition, health & food security
_cGenetic Innovation
_dInternational Institute of Tropical Agriculture (IITA)
_uhttps://hdl.handle.net/10568/173813
650 7 _aCowpeas
_2AGROVOC
_95144
650 7 _aPhosphorus
_2AGROVOC
_95314
650 7 _aUse efficiency
_2AGROVOC
_911688
650 7 _aGrain
_2AGROVOC
_91138
650 7 _aCrop yield
_2AGROVOC
_91066
650 7 _aQuantitative Trait Loci
_2AGROVOC
_91853
650 7 _aSoil fertility
_2AGROVOC
_91952
700 1 _aOngom, P.O.
_928823
700 1 _aBelko, N.
_940597
700 0 _aMuhammad Lawan Umar
_932979
700 1 _aMuñoz-Amatriaín, M.
_940598
700 0 _aBao-Lam Huynh
_933483
700 1 _aTogola, A.
_8001714312
_gGlobal Maize Program
_917502
700 1 _aIshiyaku, M.F.
_926639
700 1 _aBoukar, O.
_915443
773 0 _tGenes
_gv. 16, no. 1, art. 64
_dBasel (Switzerland) : MDPI, 2024.
_x2073-4425
856 4 _yOpen Access through DSpace
_uhttps://hdl.handle.net/10883/36392
942 _cJA
_n0
_2ddc
999 _c69564
_d69556