| Title |
Identification of single nucleotide polymorphisms and haplotypes associated with yield and yield components in soybean (Glycine max) landraces across multiple environments
|
|---|---|
| Published in |
Theoretical and Applied Genetics, October 2011
|
| DOI | 10.1007/s00122-011-1719-0 |
| Pubmed ID | |
| Authors |
Derong Hao, Hao Cheng, Zhitong Yin, Shiyou Cui, Dan Zhang, Hui Wang, Deyue Yu |
| Abstract |
Genome-wide association analysis is a powerful approach to identify the causal genetic polymorphisms underlying complex traits. In this study, we evaluated a population of 191 soybean landraces in five environments to detect molecular markers associated with soybean yield and its components using 1,536 single-nucleotide polymorphisms (SNPs) and 209 haplotypes. The analysis revealed that abundant phenotypic and genetic diversity existed in the studied population. This soybean population could be divided into two subpopulations and no or weak relatedness was detected between pair-wise landraces. The level of intra-chromosomal linkage disequilibrium was about 500 kb. Genome-wide association analysis based on the unified mixed model identified 19 SNPs and 5 haplotypes associated with soybean yield and yield components in three or more environments. Nine markers were found co-associated with two or more traits. Many markers were located in or close to previously reported quantitative trait loci mapped by linkage analysis. The SNPs and haplotypes identified in this study will help to further understand the genetic basis of soybean yield and its components, and may facilitate future high-yield breeding by marker-assisted selection in soybean. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 1% |
| France | 1 | 1% |
| Germany | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 78 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 27% |
| Student > Master | 13 | 16% |
| Researcher | 11 | 13% |
| Student > Doctoral Student | 4 | 5% |
| Student > Postgraduate | 4 | 5% |
| Other | 11 | 13% |
| Unknown | 17 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 48 | 59% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Environmental Science | 1 | 1% |
| Business, Management and Accounting | 1 | 1% |
| Unspecified | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 20 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 November 2023.
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#7,170,495
of 24,892,887 outputs
Outputs from Theoretical and Applied Genetics
#1,288
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Outputs of similar age
#40,658
of 141,019 outputs
Outputs of similar age from Theoretical and Applied Genetics
#8
of 18 outputs
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