Xiaojun Li , Shuiji Zhang

Biotechnology Research Center, Cuixi Academy of Biotechnology, Zhuji, 311800, Zhejiang, China
Author    Correspondence author
Computational Molecular Biology, 2024, Vol. 14, No. 4   
Received: 20 May, 2024    Accepted: 30 Jun., 2024    Published: 12 Jul., 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.

Genomic selection (GS), as a key technology in modern breeding programs, has significantly advanced crop and livestock breeding. By integrating quantitative genetics and genome prediction models, GS has improved the accuracy of predicting complex traits and accelerated the cultivation of high-yield and stress resistant varieties. This study explores the historical evolution, technological innovation, and practical applications of genome selection in breeding. It analyzes the advantages brought by innovative technologies such as high-density genotyping and whole genome prediction, especially their widespread application in multi trait and multi environment models. Although GS has great potential in modern breeding, it still faces challenges such as genotype environment interaction, prediction accuracy, and data complexity. I hope to summarize the latest progress of GS through case analysis and provide direction for future research, in order to promote the application of quantitative genetics and genome selection in a wider range of fields, and provide support for global food security and sustainable agricultural development.

Genomic selection; Quantitative genetics; Genomic prediction; Marker-assisted selection; Complex traits