Shiying Yu

Biotechnology Research Center, Cuixi Academy of Biotechnology, Zhuji, 311800, Zhejiang, China
Author    Correspondence author
Legume Genomics and Genetics, 2025, Vol. 16, No. 1   
Received: 05 Dec., 2024    Accepted: 15 Jan., 2025    Published: 31 Jan., 2025

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Soybeans are a crop of global significance, highly valued for their diverse applications in food, feed and industrial products. The productivity of soybeans is determined by complex agronomic traits, including yield, drought resistance, disease resistance and quality. Understanding the genetic interactions that regulate these traits is crucial for promoting soybean breeding programs. This study explored the genetic basis of these agronomic traits, with a focus on Mendelian genetics, quantitative trait loci (QTLs), and epigenetic interactions. Meanwhile, molecular mechanisms such as gene regulatory networks, transcription factors, and environmental interactions were studied, and these factors jointly affect trait expression. Through the advancements in genomics, high-throughput sequencing technology and bioinformatics platforms, an in-depth analysis of genetic interactions has been conducted. A case study on yield improvement demonstrated the identification and functional verification of cooperative gene interactions, highlighting their practical application in the cultivation of high-yield soybean varieties. Although there are still challenges in decoding polygenic traits and translating genetic insights into practice, this study highlights the potential of integrating multi-omics data and genome editing tools in enhancing the stress resistance and productivity of soybeans. This research provides a foundation for future soybean breeding innovation to meet global agricultural demands.

Soybean; Genetic interactions; Agronomic traits; Genomics; Breeding strategies