AMB_2024v14n5

Animal Molecular Breeding 2024, Vol.14, No.5, 307-317 http://animalscipublisher.com/index.php/amb 317 Taherkhani L., Banabazi M., Emamjomeh-Kashan N., Noshary A., and Imumorin I., 2022, The candidate chromosomal regions responsible for milk yield of cow: a GWAS meta-analysis, Animals, 12(5): 582. https://doi.org/10.3390/ani12050582 PMid:35268150 PMCid:PMC8909671 Teissier M., Sanchez M., Boussaha M., Barbat A., Hozé C., Robert-Granié C., and Croiseau P., 2018, Use of meta-analyses and joint analyses to select variants in whole genome sequences for genomic evaluation: an application in milk production of French dairy cattle breeds, Journal of Dairy Science, 101(4): 3126-3139. https://doi.org/10.3168/jds.2017-13587 PMid:29428760 Teng J., Wang D., Zhao C., Zhang X., Chen Z., Liu J., Sun D., Tang H., Wang W., Li J., Mei C., Yang Z., Ning C., and Zhang Q., 2023, Longitudinal genome-wide association studies of milk production traits in Holstein cattle using whole-genome sequence data imputed from medium-density chip data, Journal of Dairy Science, 106(4): 2535-2550. https://doi.org/10.3168/jds.2022-22277 PMid:36797187 Wang D., Ning C., Liu J., Zhang Q., and Jiang L., 2019, Short communication: Replication of genome-wide association studies for milk production traits in Chinese Holstein by an efficient rotated linear mixed model, Journal of Dairy Science, 102(3): 2378-2383. https://doi.org/10.3168/jds.2018-15298 PMid:30639022 Wang T., Li J., Gao X., Song W., Chen C., Yao D., Ma J., Xu L., and Ma Y., 2020, Genome-wide association study of milk components in Chinese Holstein cows using single nucleotide polymorphism, Livestock Science, 233: 103951. https://doi.org/10.1016/j.livsci.2020.103951 Yang B., 2024, Enhancing dairy cow milk fat synthesis genes with CRISPR-Cas9 technology to increase dairy product yield, International Journal of Molecular Veterinary Research, 14(1): 9-16. https://doi.org/10.5376/ijmvr.2024.14.0002 Zhou C., Li C., Cai W., Liu S., Yin H., Shi S., Zhang Q., and Zhang S., 2019, Genome-wide association study for milk protein composition traits in a chinese holstein population using a single-step approach, Frontiers in Genetics, 10: 72. https://doi.org/10.3389/fgene.2019.00072 PMid:30838020 PMCid:PMC6389681 Disclaimer/Publisher’s Note The statements, opinions, and data contained in all publications are solely those of the individual authors and contributors and do not represent the views of the publishing house and/or its editors. The publisher and/or its editors disclaim all responsibility for any harm or damage to persons or property that may result from the application of ideas, methods, instructions, or products discussed in the content. Publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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