Huaipei Xu

Modern Agricultural Research Center of Cuixi Biotechnology Research Institute, Zhuji, 311800, Zhejiang, China
Author    Correspondence author
Animal Molecular Breeding, 2024, Vol. 14, No. 1   doi: 10.5376/amb.2024.14.0007
Received: 26 Nov., 2023    Accepted: 11 Jan., 2024    Published: 02 Feb., 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.

Xu H.P., 2024, Optimization of mutton traits using whole genome association analysis, Animal Molecular Breeding, 14(1): 54-61 (doi: 10.5376/amb.2024.14.0007)

This study focuses on optimizing mutton production traits through genome-wide association analysis. Firstly, a thorough analysis of the challenges faced in optimizing mutton production traits is conducted, including aspects such as data collection and processing, quality control of genotype data, and selection and optimization of statistical models. Secondly, addressing the difficulties in data collection and processing, challenges arising from the large and widely distributed sheep population, as well as regional and environmental differences, are highlighted. Regarding the issue of quality control of genotype data, emphasis is placed on the influence of various factors on data quality, leading to a decrease in the reliability of results. Lastly, concerning the selection and optimization of statistical models, challenges posed by the characteristics of mutton production traits in traditional statistical models are discussed, along with exploration of the introduction of new methods such as machine learning. A comprehensive analysis of the role of whole genome association analysis in optimizing mutton production traits is provided, and strategies for continuously improving the effectiveness and efficiency of association analysis through the comprehensive application of various methods are proposed, aiming to provide stronger support for the sustainable development of the mutton industry.

Mutton production traits; Whole genome association analysis; Data collection and processing; Quality control of genotype data; Statistical model optimization