IJMZ_2024v14n1

International Journal of Molecular Zoology 2024, Vol.14, No.1, 44-53 http://animalscipublisher.com/index.php/ijmz 53 Schmid M., and Bennewitz J., 2017, Invited review: genome-wide association analysis for quantitative traits in livestock – a selective review of statistical models and experimental designs, Archives Animal Breeding, 60: 335-346. https://doi.org/10.5194/aab-60-335-2017 Su P., Huang Y.M., Xu T.Q., Lin C.J., Pan C.Y., Zhang Q.F., and Lan X.Y., 2023, Application of genome-wide association study in sheep genetics and breeding, Zhongguo Xumu Zazhi (Chinese Journal of Animal Science), 59(10): 74-85. Tang X., He J., and Jiang J., 2020, Progress in research on whole genome association studies in livestock and poultry, Xumu yu Shouyi (Animal Husbandry & Veterinary Medicine), 52(5):147-152. Vallee A., Daures J., Arendonk J., and Bovenhuis H., 2016, Genome-wide association study for behavior, type traits, and muscular development in charolais beef cattle, Journal of animal science, 94(6): 7-16. https://doi.org/10.2527/jas.2016-0319 Wang X.W., Fan Y., Yang Y., Shi Y.G., Shi A., and Hou P.X., 2022, Progress in genome-wide association studies for growth traits and meat quality traits in beef cattle, Xiandai Xumu Shouyi (Modern Journal of Animal Husbandry and Veterinary Medicine), 1: 78-83. Zhang H.M., Sun Y., Zhao C.P., Wang B.W., Li B., and Wang B.K., 2023, Review on typical behavior monitoring and physiological condition identification methods for ruminant livestock, Nongye Jixie Xuebao (Transactions of the Chinese Society for Agricultural Machinery), 54(3): 1-21.

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