Qishan Chen

Modern Agricultural Research Center, Cuixi Academy of Biotechnology, Zhuji, 311800, Zhejiang, China
Author    Correspondence author
Genomics and Applied Biology, 2024, Vol. 15, No. 4   
Received: 01 Jul., 2024    Accepted: 11 Aug., 2024    Published: 26 Aug., 2024

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.

Recent advancements in GWAS have significantly enhanced our understanding of the genetic architecture of complex traits in Fabaceae. Key discoveries include the identification of numerous genomic variants linked to agronomic traits, such as yield, stress tolerance, and biochemical properties. The development of novel methodologies, such as mixed model frameworks and haplotype-based fine-mapping, has improved the accuracy and resolution of GWAS, reducing false positives and increasing the power to detect rare variants. Additionally, the integration of next-generation sequencing technologies has facilitated the rapid identification of candidate genes and their functional validation. The findings from GWAS in Fabaceae have profound implications for plant breeding and genetic engineering. By uncovering the genetic basis of complex traits, these studies provide valuable insights that can be leveraged to enhance crop performance and resilience. Future research should focus on optimizing GWAS models, exploring epistatic interactions, and utilizing genomic data to advance our understanding of biological processes and improve crop breeding strategies.

Genome-wide association studies; Fabaceae; Genetic variants; Complex traits; Crop improvement; Next-generation sequencing; Plant breeding