| 000 | 03627nab|a22006617a|4500 | ||
|---|---|---|---|
| 001 | 67885 | ||
| 003 | MX-TxCIM | ||
| 005 | 20241126113200.0 | ||
| 008 | 20248s2024||||mx |||p|op||||00||0|eng|d | ||
| 022 | _a0140-7791 | ||
| 022 | _a1365-3040 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.1111/pce.15117 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 0 |
_aYangyang Liu _933495 |
|
| 245 | 1 | 0 | _aGenomic insights into the modifications of spike morphology traits during wheat breeding |
| 260 |
_bJohn Wiley & Sons Ltd., _c2024. _aOxford (United Kingdom) : |
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| 500 | _aPeer review | ||
| 500 | _aEarly View | ||
| 500 | _aOpen Access | ||
| 520 | _aOver the past century, environmental changes have significantly impacted wheat spike morphology, crucial for adaptation and grain yield. However, the changes in wheat spike modifications during this period remain largely unknown. This study examines 16 spike morphology traits in 830 accessions released from 1900 to 2020. It finds that spike weight, grain number per spike (GN), and thousand kernel weight have significantly increased, while spike length has no significant change. The increase in fertile spikelets is due to fewer degenerated spikelets, resulting in a higher GN. Genome-wide association studies identified 49,994 significant SNPs, grouped into 293 genomic regions. The accumulation of favorable alleles in these genomic regions indicates the genetic basis for modification in spike morphology traits. Genetic network analysis of these genomic regions reveals the genetic basis for phenotypic correlations among spike morphology traits. The haplotypes of the identified genomic regions display obvious geographical differentiation in global accessions and environmental adaptation over the past 120 years. In summary, we reveal the genetic basis of adaptive evolution and the interactions of spike morphology, offering valuable resources for the genetic improvement of spike morphology to enhance environmental adaptation. | ||
| 546 | _aText in English | ||
| 591 | _aYuanfeng Hao : No CIMMYT Affiliation | ||
| 650 | 7 |
_aEvolution _2AGROVOC _98815 |
|
| 650 | 7 |
_aGenetics _2AGROVOC _91130 |
|
| 650 | 7 |
_aGrain _2AGROVOC _91138 |
|
| 650 | 7 |
_aYields _2AGROVOC _91313 |
|
| 650 | 7 |
_aGenome-wide association studies _2AGROVOC _931443 |
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| 650 | 7 |
_aWheat _2AGROVOC _91310 |
|
| 650 | 7 |
_aBreeding _2AGROVOC _91029 |
|
| 650 | 7 |
_aSpikes _2AGROVOC _913862 |
|
| 700 | 0 |
_aRui Yu _917666 |
|
| 700 | 0 |
_aLiping Shen _933494 |
|
| 700 | 0 |
_aMengjing Sun _919597 |
|
| 700 | 0 |
_aYanchun Peng _98338 |
|
| 700 | 0 |
_aQingdong Zeng _910687 |
|
| 700 | 0 |
_aKuocheng Shen _933496 |
|
| 700 | 0 |
_aXuchang Yu _933504 |
|
| 700 | 0 |
_aHe Wu _933497 |
|
| 700 | 0 |
_aBotao Ye _933503 |
|
| 700 | 0 |
_aZiying Wang _933505 |
|
| 700 | 0 |
_aZhiweng Sun _936780 |
|
| 700 | 0 |
_aDanning Liu _936781 |
|
| 700 | 0 |
_aXiaohui Sun _936782 |
|
| 700 | 0 |
_aZhiliang Zhang _936783 |
|
| 700 | 0 |
_aJiayu Dong _936784 |
|
| 700 | 0 |
_aJing Dong _936785 |
|
| 700 | 0 |
_aDejun Han _911169 |
|
| 700 | 1 |
_aHe Zhonghu _gGlobal Wheat Program _8INT2411 _9838 |
|
| 700 | 1 |
_aYuanfeng Hao _gGlobal Wheat Program _8INT3329 _9919 |
|
| 700 | 0 |
_aJianhui Wu _911166 |
|
| 700 | 0 |
_aZifeng Guo _94193 |
|
| 773 | 0 |
_tPlant Cell and Environment _dOxford (United Kingdom) : John Wiley & Sons Ltd., 2024. _x0140-7791 _gv. 47, no. 12, p. 5470-5482 _wu444686 |
|
| 856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/34679 |
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| 942 |
_cJA _n0 _2ddc |
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| 999 |
_c67885 _d67877 |
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