| 000 | 02931nab a22004337a 4500 | ||
|---|---|---|---|
| 999 |
_c59417 _d59409 |
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| 001 | 59417 | ||
| 003 | MX-TxCIM | ||
| 005 | 20240618204246.0 | ||
| 008 | 180416s2017 sz |||p|op||| 00| 0 eng d | ||
| 024 | 8 | _ahttps://doi.org/10.3389/fpls.2017.02014 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 0 |
_96949 _aZhangxiong Liu |
|
| 245 | 1 | 0 |
_aComparison of genetic diversity between Chinese and American soybean (Glycine max (L.)) accessions revealed by high-density SNPs _h[Electronic Resource] |
| 260 |
_aSwitzerland : _bFrontiers, _c2017. |
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| 500 | _aPeer review | ||
| 500 | _aOpen Access | ||
| 520 | _aSoybean is one of the most important economic crops for both China and the United States (US). The exchange of germplasm between these two countries has long been active. In order to investigate genetic relationships between Chinese and US soybean germplasm, 277 Chinese soybean accessions and 300 US soybean accessions from geographically diverse regions were analyzed using 5,361 SNP markers. The genetic diversity and the polymorphism information content (PIC) of the Chinese accessions was higher than that of the US accessions. Population structure analysis, principal component analysis, and cluster analysis all showed that the genetic basis of Chinese soybeans is distinct from that of the USA. The groupings observed in clustering analysis reflected the geographical origins of the accessions; this conclusion was validated with both genetic distance analysis and relative kinship analysis. FST-based and EigenGWAS statistical analysis revealed high genetic variation between the two subpopulations. Analysis of the 10 loci with the strongest selection signals showed that many loci were located in chromosome regions that have previously been identified as quantitative trait loci (QTL) associated with environmental-adaptation-related and yield-related traits. The pattern of diversity among the American and Chinese accessions should help breeders to select appropriate parental accessions to enhance the performance of future soybean cultivars. | ||
| 546 | _aText in English | ||
| 591 | _aHuihui Li : No CIMMYT Affiliation | ||
| 650 | 7 |
_93639 _aSoybeans _2AGROVOC |
|
| 650 | 7 |
_91937 _aNucleotide sequence _2AGROVOC |
|
| 650 | 7 |
_98720 _aPopulation Structure _2AGROVOC |
|
| 650 | 7 |
_91403 _aBiodiversity _2AGROVOC |
|
| 651 | 7 |
_93990 _aChina _gAGROVOC |
|
| 651 | 0 |
_aUnited States of America _gAGROVOC _94609 |
|
| 700 | 0 |
_9764 _aHuihui Li _gGenetic Resources Program _8CLIH01 |
|
| 700 | 0 |
_96952 _aZixiang Wen |
|
| 700 | 0 |
_96950 _aXuhong Fan |
|
| 700 | 0 |
_96953 _aYinghui Li |
|
| 700 | 0 |
_96954 _aRongxia Guan |
|
| 700 | 0 |
_96955 _aYong Guo |
|
| 700 | 0 |
_96959 _aShuming Wang |
|
| 700 | 0 |
_96957 _aDechun Wang |
|
| 700 | 0 |
_96963 _aLijuan Qiu |
|
| 773 | 0 |
_gv. 8, art. 2014 _tFrontiers in Plant Science _wu56875 |
|
| 856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/19475 |
|
| 942 |
_2ddc _cJA _n0 |
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