| 000 | 02398nab a22003377a 4500 | ||
|---|---|---|---|
| 999 |
_c61511 _d61503 |
||
| 001 | 61511 | ||
| 003 | MX-TxCIM | ||
| 005 | 20211006082419.0 | ||
| 008 | 200320s2020 gw |||p|op||| 00| 0 eng d | ||
| 022 | _a0040-5752 | ||
| 022 | _a1432-2242 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.1007/s00122-020-03562-8 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 0 |
_95093 _aShuanghe Cao |
|
| 245 | 1 | 0 | _aGenetic architecture underpinning yield component traits in wheat |
| 260 |
_aBerlin (Germany) : _bSpringer, _c2020. |
||
| 500 | _aPeer review | ||
| 520 | _aMining genetic loci for yield is challenging due to the polygenic nature, large influence of environment and complex relationship among yield component traits (YCT). Many genetic loci related to wheat yield have been identified, but its genetic architecture and key genetic loci for selection are largely unknown. Wheat yield potential can be determined by three YCT, thousand kernel weight, kernel number per spike and spike number. Here, we summarized the genetic loci underpinning YCT from QTL mapping, association analysis and homology-based gene cloning. The major loci determining yield-associated agronomic traits, such as flowering time and plant height, were also included in comparative analyses with those for YCT. We integrated yield-related genetic loci onto chromosomes based on their physical locations. To identify the major stable loci for YCT, 58 QTL-rich clusters (QRC) were defined based on their distribution on chromosomes. Candidate genes in each QRC were predicted according to gene annotation of the wheat reference genome and previous information on validation of those genes in other species. Finally, a technological route was proposed to take full advantage of the resultant resources for gene cloning, molecular marker-assisted breeding and dissection of molecular regulatory mechanisms underlying wheat yield. | ||
| 526 |
_aWC _cFP2 |
||
| 546 | _aText in English | ||
| 650 | 7 |
_2AGROVOC _91130 _aGenetics |
|
| 650 | 7 |
_aCrop yield _gAGROVOC _2 _91066 |
|
| 650 | 7 |
_aWheat _gAGROVOC _2 _91310 |
|
| 700 | 0 |
_95904 _aDengan Xu |
|
| 700 | 1 |
_911650 _aHanif, M. |
|
| 700 | 0 |
_9377 _aXianchun Xia |
|
| 700 | 1 |
_aHe Zhonghu _gGlobal Wheat Program _8INT2411 _9838 |
|
| 773 | 0 |
_dBerlin (Germany) : Springer, 2020. _gv. 133, no. 6, p. 1811-1823 _tTheoretical and Applied Genetics _wu444762 _x0040-5752 |
|
| 942 |
_2ddc _cJA _n0 |
||