1. Caprine and Ovine Genomic Selection—Progress and Application.
- Author
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Zhang, Linyun, Duan, Yixin, Zhao, Shengnan, Xu, Naiyi, and Zhao, Yongju
- Subjects
LIVESTOCK breeding ,ANIMAL breeds ,GOAT breeds ,LIVESTOCK breeds ,SHEEP farming - Abstract
Simple Summary: Genomic selection (GS) is defined as a marker-assisted selection method that uses high-density molecular markers covering the entire genome combined with phenotypic data to estimate genomic estimated breeding values (GEBV). This paper reviews the principles, methods, and influencing factors of GS for breeding by using phenotypic information and genetic relationships simultaneously. It also covers the research progress of GS in meat, fiber, dairy, and reproductive traits in sheep and goats. Compared to other livestock, especially cattle, sheep and goat breeding is relatively small-scale and has lagged behind. GS combined with genomic information can help promote the breeding process and development in commercial farming of sheep and goats. We highlight the potential for phenotypic information and genetic relationships to work together to drive the breeding process, providing valuable insights for implementing GS in sheep and goat breeding. The advancement of sequencing technology and molecular breeding methods has provided technical support and assurance for accurate breeding. Genomic Selection (GS) utilizes genomic information to improve livestock breeding, and it is more accurate and more efficient than traditional selection methods. GS has been widely applied in domestic animal breeding, especially in cattle. However, there are still limited studies on the application and research of GS in sheep and goats. This paper outlines the principles, analysis methods, and influential factors of GS and elaborates on the research progress, challenges, and prospects of applying GS in sheep and goat breeding. Through the review of these aspects, this paper is expected to provide valuable references for the implementation of GS in the field of sheep and goat breeding. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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