Abstract
By using the soybean founder parent Tokachi nagaha and its 137 derived cultivars as materials, a genome-wide association analysis was performed to identify the single nucleotide polymorphisms (SNPs) underlying soybean yield and quality related traits at two planting densities. Results of ANOVA showed that genotype, environment, and genotype by environment interaction effects were all significant for each trait. The Tokachi nagaha-derived soybean population could be divided into two subpopulations based on molecular data, and accessions in each subpopulation were almost all from the same Chinese province. Relatedness was detected between pair-wise accessions within the population. Linkage disequilibrium was obvious and the level of intra-chromosome linkage disequilibrium was about 8370 kb. A total of 40 SNPs with significant signal were detected and distributed across 18 chromosomes. Some SNP markers were located in or near regions where QTLs have been previously mapped by linkage analysis. Nineteen SNPs were identified both in low- and high- density planting treatments, indicating those loci were common and sTable Sixteen SNPs were co-associated with two or more different traits, suggesting that some of the QTLs/genes underlying those identified SNPs were likely to be pleiotropic.
Original language | English |
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Pages (from-to) | 72-86 |
Number of pages | 15 |
Journal | Plant Science |
Volume | 256 |
DOIs | |
State | Published - 1 Mar 2017 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2016 Elsevier Ireland Ltd
Keywords
- Agronomic traits
- Cultivars
- Genome-wide association mapping
- Soybean
ASJC Scopus subject areas
- Agronomy and Crop Science
- Genetics
- Plant Science