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Genome-wide association studies reveal novel QTLs for agronomic traits in soybean

文献类型： 外文期刊

作者： Dongwei Han;Xi Zhao;Di Zhang;Zhen Wang;Zhijia Zhu;Haoyue Sun;Zhongcheng Qu;Lianxia Wang;Zhangxiong Liu;Xu Zhu;Ming Yuan

作者机构：

关键词： 100-grain weight;grain number per plant;GWAS;pod number per plant;soybean

期刊名称： Frontiers in Plant Science

ISSN： 1664-462X

年卷期： 2024 年 15 卷

页码：

收录情况： SCIE（2024版）

摘要： Introduction: Soybean, as a globally significant crop, has garnered substantial attention due to its agricultural importance. The utilization of molecular approaches to enhance grain yield in soybean has gained popularity. Methods: In this study, we conducted a genome-wide association study (GWAS) using 156 Chinese soybean accessions over a two-year period. We employed the general linear model (GLM) and the mixed linear model (MLM) to analyze three agronomic traits: pod number, grain number, and grain weight. Results: Our findings revealed significant associations between qgPNpP-98, qgGNpP-89 and qgHGW-85 QTLs and pod number, grain number, and grain weight, respectively. These QTLs were identified on chromosome 16, a region spanning 413171bp exhibited associations with all three traits. Discussion: These QTL markers identified in this study hold potential for improving yield and agronomic traits through marker-assisted selection and genomic selection in breeding programs.

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