Integrating linkage mapping and GWAS reveals novel genetic architecture of seed weight in soybean (Glycine max L.)
This first integrated QTL-GWAS analysis for soybean seed weight reveals both major-effect loci and polygenic architecture, providing validated molecular markers and candidate genes for breeding programs targeting yield improvement.
Authors
- Sobhi F. Lamlom (ORCID: https://orcid.org/0000-0002-5003-9275)
- Kezhen Zhao (ORCID: https://orcid.org/0000-0003-4864-668X)
- Hong Ren (ORCID: https://orcid.org/0009-0005-6846-3479)
- Jiajun Wang
- Lijuan Qiu
- Bire Zha
- Huilong Hong
- Rongqiang Yuan
- Chunlei Zhang
- Xiaoyu Xi
Institutions
- Heilongjiang Academy of Sciences (CN)
- Heilongjiang Provincial Academy of Agricultural Sciences (CN)
- Institute of Crop Sciences (CN)
- Alexandria University (EG)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2026-01-05
- DOI
- https://doi.org/10.3389/fpls.2025.1711905
- Citations
- 1
- Primary Topic
- Soybean genetics and cultivation
- Type
- article
- Field-Weighted Citation Impact
- 31.34
Funders
- Chinese Academy of Agricultural Sciences
- National Science and Technology Major Project
- Heilongjiang Academy of Agricultural Sciences
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences