AMB_2024v14n1

Animal Molecular Breeding 2024, Vol.14, No.1, 27-35 http://animalscipublisher.com/index.php/amb 35 In addition, the application of big data analysis and machine learning technologies will make it more efficient to extract useful information from the large amount of complex data in GWAS, providing strong support for breeding decisions (Sermyagin et al., 2020). In conclusion, the contribution of GWAS technology in improving milk yield has been widely recognized, and its potential to combine modern biotechnology and information technology is still unfolding. Future research needs to further explore the application of GWAS in dairy cattle breeding and how to better translate the results of scientific research into breeding practices to achieve sustainable development and efficiency improvement in the dairy industry. References Dong H.T., Zhu D., Qin W., and Yu C.S., 2023, Genome-wide association study(GWAS)for detecting genetic associations of brain white matter tract integrity, Zhongguo Yixue Yingxiang Jishu (Chinese Journal of Medical Imaging Technology), 39(5): 657-664. Gong M., Li Y., Bao D.P., Shang J.J., Yang R.H., Zhou C.L., Wan J.N., and Wu Y.Y., 2021, Genome-wide association study on mycelial growth rate of hypsizygus marmoreus cultivation strains, Shiyongjun Xuebao (Acta Edulis Fungi), 28(2): 18-25. Gutierrez-Reinoso M.A., Aponte P.M., and Garcia-Herreros M., 2021, Genomic analysis, progress and future perspectives in dairy cattle selection: a review, Animals, 11(3): 599. https://doi.org/10.3390/ani11030599 Hu Y.H., Zhang X.X., Xu L., Dong M.M., Wang C.Y., Ge J.J., Zhang B.G., and Huang X.X., 2023, Effects of age at first pregnancy on milk yield,reproductive performance and postpartum health of holstein dairy cows, Zhongguo Xumu Zazhi (Chinese Journal of Animal Science), 59(3): 144-154. Huang Y.C., Zhang H.L., Zhao S.J., Liu Z.P., Zhu H.B., Huang X.X., and Wang Y.C., 2023, A review on in vivo superovulation response trait in dairy cows, Zhongguo Xumu Shouyi (China Animal Husbandry & Veterinary Medicine), 50(11): 4504-4512. Korkuć P., Arends D., May K.,König S., and Brockmann G.A., 2021, Genomic loci affecting milk production in german black pied cattle (DSN), Frontiers in Genetics, 12: 640039. https://doi.org/10.3389/fgene.2021.640039 Li X., Liu N., Zha L.G., Wang X.Y., Wang Y., Wang B.Y., An X.P., and Qi J.W., 2023, Effects of age at first pregnancy on milk yield,reproductive performance and postpartum health of holstein dairy cows, Zhongguo Xumu Zazhi (Chinese Journal of Animal Science), 59(9): 327-331. Lu X, Abdalla I M, Nazar M, Fan Y., Zhang Z., Wu X., Xu T., and Yang Z., 2021, . Genome-wide association study on reproduction-related body-shape traits of chinese holstein cows, Animals, 11(7): 1927. https://doi.org/10.3390/ani11071927 Sermyagin A.A., Bykova O.A., Loretts O.G., Kostyunina O.V., and Zinovieva N.A., 2020, Genomic variability assess for breeding traits in holsteinizated russian black-and-white cattle using GWAS analysis and ROH patterns, Sel’skokhozyaistvennaya Biol., 55: 257-274. https://doi.org/10.15389/agrobiology.2020.2.257eng 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. Tong X., Luo W., Min L., Zhang Z.F., Ma X.Y., Luo C.L., Chen W.D., Xu B., and Li D.G., 2023, Population structure and genetic diversity of lufeng cattle and leiqiong cattle based on genome-wide SNPs, Zhongguo Nongye Kexue (Scientia Agricultura Sinica), 56(14): 2798-2811. Yang M.L., Zhang H.L., Luo H.P., Huang X.X., Zhang H.L., Zhang S.S., Wang Y., Liu L., Guo G., and Wang Y.C., 2023, Estimation of genetic parameters and genome-wide association study of heat indicators in holstein cattle based on collar-mounted device, Zhongguo Nongye Kexue (Scientia Agricultura Sinica), 56(5): 995-1006. Yu S.Q., Li L.X., Zhao X.B., Zhao H.Y., Tu Y., Zhao Y.C., and Jiang L.S., 2023, Differences and correlations of lactation performance in chinese holstein dairy cows at different lactation stages and somatic levels, Xumu Shouyi Xuebao (Acta Veterinaria et Zootechnica Sinica), 54(3): 1003-1014. Zhang X.K., Liao W.L., Chen X.Y., Li T.T., Yuan X.L., Li J.Q., Huang X., and Zhang H., 2023, Genome-wide association study for identifying candidate genes of growth traits in duroc pigs, Xumu Shouyi Xuebao (Acta Veterinaria et Zootechnica Sinica), 54(5): 1868-1876.

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