Animal Molecular Breeding 2024, Vol.14, No.3, 239-251 http://animalscipublisher.com/index.php/amb 249 economic viability for breeders. As the technology continues to advance, it will be crucial to address these challenges to ensure that the benefits of GS are realized globally and equitably. The future of livestock breeding will undoubtedly be shaped by GS, but its success will require collaboration, innovation, and a commitment to sustainable practices. Acknowledgements We sincerely thank Professor Zhang for the thorough review of this manuscript and for providing valuable suggestions, which enhanced the quality and clarity of the manuscript. Conflict of Interest Disclosure Authors affirm that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Bhat J.A., Ali S., Salgotra R.K., Mir Z.A., Dutta S., Jadon V., Tyagi A., Mushtaq M., Jain N, Singh P.K., Singh G.P., and Prabhu K.V., 2016, Genomic selection in the era of next generation sequencing for complex traits in plant breeding, Frontiers in Genetics, 7: 221. https://doi.org/10.3389/fgene.2016.00221 PMID: 28083016 PMCID: PMC5186759 Burrow H.m., Mrode R., Mwai A.O., Coffey M., and Hayes B., 2021, Challenges and opportunities in applying genomic selection to ruminants owned by smallholder farmers, Agriculture, 11(11): 1172. https://doi.org/10.3390/agriculture11111172 Chafai N., Hayah I., Houaga I., and Badaoui B., 2023, A review of machine learning models applied to genomic prediction in animal breeding, Frontiers in Genetics, 14: 1150596. https://doi.org/10.3389/fgene.2023.1150596 PMID: 37745853 PMCID: PMC10516561 Cheng Z.H., Wu J., Liu J.Q., Min D., Liu D.F., Li W.W., and Yu H., 2022, Repurposing CRISPR RNA-guided integrases system for one-step, efficient genomic integration of ultra-long DNA sequences, Nucleic Acids Research, 50: 7739-7750. https://doi.org/10.1093/nar/gkac554 Cole J., and Silva M.V.G.B., 2016, Genomic selection in multi-breed dairy cattle populations, Revista Brasileira De Zootecnia, 45: 195-202. https://doi.org/10.1590/S1806-92902016000400008 Elmore J.R., Dexter G.N., Baldino H., Huenemann J.D., Francis R., Peabody G.L., and Egbert R., 2023, High-throughput genetic engineering of nonmodel and undomesticated bacteria via iterative site-specific genome integration, Science Advances, 9(10): eade1285. https://doi.org/10.1126/sciadv.ade1285 PMID: 36897939 PMCID: PMC10005180 Mohammaddiyeh M.E.T.K., Rafat S.A., Shodja J., Javanmard A., and Esfandyari H., 2023, Selective genotyping to implement genomic selection in beef cattle breeding, Frontiers in Genetics, 14: 1083106. https://doi.org/10.3389/fgene.2023.1083106 PMID: 37007975 PMCID: PMC10064214 Eynard S.E., Croiseau P., Laloë D., Fritz S., Calus M.P.L., and Restoux G., 2017, Which individuals to choose to update the reference population? minimizing the loss of genetic diversity in animal genomic selection programs, G3: Genes|Genomes|Genetics, 8: 113-121. https://doi.org/10.1534/g3.117.1117 PMID: 29133511 PMCID: PMC5765340 Guinan F.L., Wiggans G.R., Norman H., Dürr J., Cole J., Van Tassell C.V., Misztal I., and Lourenço D., 2022, Changes in genetic trends in US dairy cattle since the implementation of genomic selection, Journal of Dairy Science, 106(2): 1110-1129. https://doi.org/10.3168/jds.2022-22205 PMID: 36494224 Gutierrez-Reinoso M.A., Aponte P.M., and García-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 PMID: 33668747 PMCID: PMC7996307 Ibtisham F., Zhang L., Xiao M., An L., Ramzan M., Nawab A., Zhao Y., Li G., and Xu Y., 2017, Genomic selection and its application in animal breeding, Thai Journal of Veterinary Medicine, 47, 301-310. http://doi.org/10.56808/2985-1130.2838 Jonas E., and de Koning D., 2015, Genomic selection needs to be carefully assessed to meet specific requirements in livestock breeding programs, Frontiers in Genetics, 6: 49. https://doi.org/10.3389/fgene.2015.00049 PMID: 25750652 PMCID: PMC4335173
RkJQdWJsaXNoZXIy MjQ4ODYzNA==