| 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. |
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| 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 |
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| 942 |
_cJA _n0 _2ddc |
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| 999 |
_c69369 _d69361 |
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