Yanlin Wang¹ , Xiaofang Lin²

1 Tropical Animal Resources Research Center, Hainan Institute of Tropical Agricultural Resources, Sanya, 572025, Hainan, China
2 Tropical Animal Medicine Research Center, Hainan Institute of Tropical Agricultural Resources, Sanya, 572025, Hainan, China
Author    Correspondence author
Animal Molecular Breeding, 2025, Vol. 15, No. 1   doi: 10.5376/amb.2025.15.0006
Received: 10 Jan., 2025    Accepted: 22 Feb., 2025    Published: 10 May, 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.

Wang Y.L., and Lin X.F., 2025, Integrating AI-driven genomic selection and gene editing for precision goat breeding, Animal Molecular Breeding, 15(2): 49-59 (doi: 10.5376/amb.2025.15.0006)

 

This study reviews the application progress of AI-driven genome selection (GS) and gene editing technologies in precision goat breeding. By analyzing the application of high-density molecular markers, whole-genome sequencing and AI algorithms in the improvement of important traits in goats, this study summarized the effect of genomic selection in enhancing genetic progression and selection accuracy, and explored the potential of gene editing technologies such as CRISPR/Cas9 in precisely improving traits. And the key role of AI in phenotypic prediction, target gene screening and editing strategy design was evaluated. This study aims to provide a scientific reference for accelerating the precise improvement of goat populations in terms of productivity, disease resistance and environmental adaptability, and to help the livestock industry develop in a sustainable and efficient direction.

Precision breeding; Genomic selection (GS); Gene editing; Artificial intelligence (AI); Goat genetic improvement