Genome-wide Association Studies Reveal Novel QTLs for Agronomic Traits in Soybean

Overview

Journal Front Plant Sci

Date 2024 May 29

PMID 38807775

Authors

Dongwei Han

Xi Zhao

Di Zhang

Zhen Wang

Zhijia Zhu

Haoyue Sun

Zhongcheng Qu

Lianxia Wang

Zhangxiong Liu

Xu Zhu

Ming Yuan

Affiliations

Soon will be listed here.

Abstract

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 , and 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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