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

Autor: Dongwei Han, Xi Zhao, Di Zhang, Zhen Wang, Zhijia Zhu, Haoyue Sun, Zhongcheng Qu, Lianxia Wang, Zhangxiong Liu, Xu Zhu, Ming Yuan
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Frontiers in Plant Science, Vol 15 (2024)
Druh dokumentu: article
ISSN: 1664-462X
DOI: 10.3389/fpls.2024.1375646
Popis: IntroductionSoybean, 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.MethodsIn 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. ResultsOur 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. DiscussionThese 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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