Han Dongwei, Zhao Xi, Zhang Di, Wang Zhen, Zhu Zhijia, Sun Haoyue, Qu Zhongcheng, Wang Lianxia, Liu Zhangxiong, Zhu Xu, Yuan Ming
Qiqihar Branch of Heilongjiang Academy of Agricultural Science, Qiqihar, Heilongjiang, China.
Heilongjiang Chinese Academy of Sciences Qiuying Zhang Soybean Scientist Studio, Qiqihar, Heilongjiang, China.
Front Plant Sci. 2024 May 14;15:1375646. doi: 10.3389/fpls.2024.1375646. eCollection 2024.
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.
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.
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.
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.
大豆作为一种具有全球重要性的作物，因其农业重要性而备受关注。利用分子方法提高大豆产量已受到广泛关注。
在本研究中，我们在两年时间内对156份中国大豆种质进行了全基因组关联研究（GWAS）。我们采用一般线性模型（GLM）和混合线性模型（MLM）来分析三个农艺性状：荚数、粒数和粒重。
我们的研究结果分别揭示了 、 和 QTL 与荚数、粒数和粒重之间的显著关联。这些QTL在16号染色体上被鉴定出来，一个跨越413171bp的区域与所有三个性状都表现出关联。
本研究中鉴定出的这些QTL标记在育种计划中通过标记辅助选择和基因组选择来提高产量和农艺性状方面具有潜力。
