AMB_2024v14n5

Animal Molecular Breeding 2024, Vol.14, No.5, 307-317 http://animalscipublisher.com/index.php/amb 316 Gutierrez-Reinoso M., Aponte P., 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 Hayes B., Bowman P., Chamberlain A., and Goddard M., 2009, Invited review: genomic selection in dairy cattle: progress and challenges, Journal of Dairy Science, 92(2): 433-443. https://doi.org/10.3168/jds.2008-1646 PMid:19164653 Iung L., Petrini J., Ramírez-Díaz J., Salvian M., Rovadoscki G., Pilonetto F., Dauria B., Machado P., Coutinho L., Wiggans G., and Mourão G., 2019, Genome-wide association study for milk production traits in a Brazilian Holstein population, Journal of Dairy Science, 102(6): 5305-5314. https://doi.org/10.3168/jds.2018-14811 PMid:30904307 Jiang J., Ma L., Prakapenka D., VanRaden P., Cole J., and Da Y., 2019, A large-scale genome-wide association study in U.S. holstein cattle, Frontiers in Genetics, 10: 412. https://doi.org/10.3389/fgene.2019.00412 PMid:31139206 PMCid:PMC6527781 Jiang L., Liu J., Sun D., Ma P., Ding X., Yu Y., and Zhang Q., 2010, Genome wide association studies for milk production traits in chinese holstein population, PLoS ONE, 5(10): e13661. https://doi.org/10.1371/journal.pone.0013661 PMid:21048968 PMCid:PMC2965099 Kim S., Lim B., Cho J., Lee S., Dang C., Jeon J., Kim J., and Lee J., 2021, Genome-wide identification of candidate genes for milk production traits in korean holstein cattle, Animals, 11(5): 1392. https://doi.org/10.3390/ani11051392 PMid:34068321 PMCid:PMC8153329 Laodiim T., Koonawootrittriron S., Elzo M., Suwanasopee T., Jattawa D., and Sarakul M., 2023, Genetic factors influencing milk and fat yields in tropically adapted dairy cattle: insights from QTL analysis and gene associations, Animal Bioscience, 37(4): 576. https://doi.org/10.5713/ab.23.0246 PMid:37946425 PMCid:PMC10915225 Ma L., 2020, 301 Methods of genome-wide association studies and their applications in dairy cattle, Journal of Animal Science, 98: 31-31. https://doi.org/10.1093/jas/skaa278.055 PMCid:PMC7702888 Mai M., Sahana G., Christiansen F., and Guldbrandtsen B., 2010, A genome-wide association study for milk production traits in Danish Jersey cattle using a 50K single nucleotide polymorphism chip, Journal of Animal Science, 88(11): 3522-3528. https://doi.org/10.2527/jas.2009-2713 PMid:20656975 Marina H., Pelayo R., Suárez-Vega A., Gutiérrez-Gil B., Esteban-Blanco C., and Arranz J., 2021, Genome-wide association studies (GWAS) and post-GWAS analyses for technological traits in Assaf and Churra dairy breeds, Journal of Dairy Science, 104(11): 11850-11866. https://doi.org/10.3168/jds.2021-20510 PMid:34454756 Otto P., Guimarães S., Calus M., Vandenplas J., Machado M., Panetto J., and Silva M., 2020, Single-step genome-wide association studies (GWAS) and post-GWAS analyses to identify genomic regions and candidate genes for milk yield in Brazilian Girolando cattle, Journal of Dairy Science, 103(11): 10347-10360. https://doi.org/10.3168/jds.2019-17890 PMid:32896396 Pryce J., Bolormaa S., Chamberlain A., Bowman P., Savin K., Goddard M., and Hayes B., 2010, A validated genome-wide association study in 2 dairy cattle breeds for milk production and fertility traits using variable length haplotypes, Journal of Dairy Science, 93(7): 3331-3345. https://doi.org/10.3168/jds.2009-2893 PMid:20630249 Raven L., Cocks B., and Hayes B., 2014, Multibreed genome wide association can improve precision of mapping causative variants underlying milk production in dairy cattle, BMC Genomics, 15: 62. https://doi.org/10.1186/1471-2164-15-62 PMid:24456127 PMCid:PMC3905911 Sahana G., Cai Z., Sanchez M., Bouwman A., and Boichard D., 2023, Invited review: Good practices in genome-wide association studies to identify candidate sequence variants in dairy cattle, Journal of Dairy Science, 106(8): 5218-5241. https://doi.org/10.3168/jds.2022-22694 PMid:37349208

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