Qiqi Zhou , Hui Liu , Shiqiang Huang

Tropical Animal Resources Research Center, Hainan Institute of Tropical Agricultural Resources, Sanya, 572000, Hainan, China
Author    Correspondence author
International Journal of Molecular Veterinary Research, 2024, Vol. 14, No. 5   doi: 10.5376/ijmvr.2024.14.0024
Received: 09 Sep., 2024    Accepted: 10 Oct., 2024    Published: 20 Oct., 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.

Zhou Q.Q., Lui H., and Huang S.Q., 2024, Advances in goat disease resistance through genetic selection, International Journal of Molecular Veterinary Research, 14(5): 211-219 (doi: 10.5376/ijmvr.2024.14.0024)

This study explores the role of genetic selection in boosting disease resistance in goats, with a focus on the genetic mechanisms, selection methods, and current advances in breeding practices. It examines common goat diseases, including infectious and parasitic diseases, and discusses the genetic factors involved in resistance and susceptibility. The study also highlights the importance of traditional and molecular breeding techniques, with a particular case study on Haemonchus contortus, a parasitic infection that poses significant challenges to goat health. Furthermore, the study addresses the current challenges in genetic selection, such as inbreeding and genetic diversity loss, and the ethical, economic, and environmental considerations. Finally, future directions in goat disease resistance research are discussed, emphasizing innovations in genomics, omics technologies, and the integration of biotechnology to shape the future of breeding programs. This study underscores the potential of genetic selection to revolutionize goat disease management, but also highlights the need for continued research and strategic planning in breeding programs.

Goat disease resistance; Genetic selection; Haemonchus contortus; Breeding methods; Genomic technologies