000 03206nab|a22004817a|4500
001 69369
003 MX-TxCIM
005 20251222083947.0
008 20258s2025||||mx |||p|op||||00||0|eng|d
022 _a2095-3119
022 _a2352-3425 (Online)
024 8 _ahttps://doi.org/10.1016/j.jia.2023.12.039
040 _aMX-TxCIM
041 _aeng
100 0 _aTiantian Chen
_929606
245 1 0 _aGenome wide linkage mapping for black point resistance in a recombinant inbred line population of Zhongmai 578 and Jimai 22
260 _aBeijing (China) :
_bElsevier B.V.,
_c2025.
500 _aPeer review
500 _aOpen Access
520 _aBlack point is a black discoloration of the grain embryo that reduces the grain quality and commodity grade. Identifying the underlying genetic loci can facilitate the improvement of black point resistance in wheat. Here, 262 recombinant inbred lines (RILs) from the cross of Zhongmai 578/Jimai 22 were evaluated for their black point reactions in five environments. A high-density genetic linkage map of the RIL population was constructed with the wheat 50K single nucleotide polymorphism (SNP) array. Six stable QTLs for black point resistance were detected, QBp.caas-2A, QBp.caas-2B1, QBp.caas-2B2, QBp.caas-2D, QBp.caas-3A, and QBp.caas-5B, which explained 2.1-28.8% of the phenotypic variances. The resistance alleles of QBp.caas-2B1 and QBp.caas-2B2 were contributed by Zhongmai 578 while the others were from Jimai 22. QBp.caas-2B2, QBp.caas-2D and QBp.caas-3A overlapped with previously reported loci, whereas QBp.caas-2A, QBp.caas-2B1 and QBp.caas-5B are likely to be new. Five kompetitive allele-specific PCR (KASP) markers, Kasp_2A_BP, Kasp_2B1_BP, Kasp_2B2_BP, Kasp_3A_BP, and Kasp_5B_BP, were validated in a natural population of 165 cultivars. The findings of this study provide useful QTLs and molecular markers for the improvement of black point resistance in wheat through marker-assisted breeding.
546 _aText in English
591 _aAwais Rasheed : No CIMMYT Affiliation
597 _dNational Natural Science Foundation of China
_dChinese Academy of Agricultural Sciences (CAAS)
_dNational Key Research and Development Program
_dChina Association for Science and Technology (CAST)
_fBreeding for Tomorrow
_uhttps://hdl.handle.net/10568/179137
650 7 _aCandidate genes
_2AGROVOC
_929589
650 7 _aTriticum aestivum
_2AGROVOC
_91296
650 7 _aPCR
_2AGROVOC
_912563
650 7 _aQuantitative Trait Loci
_2AGROVOC
_91853
700 0 _aLei Li
_917301
700 0 _aDan Liu
_919678
700 0 _aYubing Tian
_91856
700 0 _aLingli Li
_929050
700 0 _aJianqi Zeng
_921712
700 1 _aAwais Rasheed
_gGlobal Wheat Program
_8I1706474
_91938
700 0 _aShuanghe Cao
_95093
700 0 _aXianchun Xia
_9377
700 1 _aHe Zhonghu
_gGlobal Wheat Program
_8INT2411
_9838
700 0 _aJindong Liu
_93032
700 0 _aYong Zhang
_91857
773 0 _tJournal of Integrative Agriculture
_gv. 24, no. 9, p. 3311-3321
_dBeijing (China) : Elsevier B.V., 2025
_x2095-3119
_wu56517
856 4 _yOpen Access through DSpace
_uhttps://hdl.handle.net/10883/35913
942 _cJA
_n0
_2ddc
999 _c69369
_d69361