AMB_2024v14n1

Animal Molecular Breeding 2024, Vol.14, No.1, 62-71 http://animalscipublisher.com/index.php/amb 70 support for the sustainable development of the poultry industry. Future research needs to further explore and exploit this potential to address the challenges posed by environmental pressures and promote innovation and progress in the poultry industry. References Bai H., He Y., Ding Y., Chu Q., Lian L., Heifetz E.M., Yang N., Cheng H.H., Zhang H., Chen J., and Song J., 2020, Genome-wide characterization of copy number variations in the host genome in genetic resistance to Marek’s disease using next generation sequencing, BMC genetics, 21: 1-12. https://doi.org/10.1186/s12863-020-00884-w PMid:32677890 PMCid:PMC7364486 Barszcz M., Tuśnio A., and Taciak M., 2024, Poultry nutrition, Physical Sciences Reviews, 9(2): 611-650. https://doi.org/10.1515/psr-2021-0122 Boopathi N.M., 2020, Marker-assisted selection (MAS), In: Genetic mapping and marker assisted selection: Basics, practice and benefits, pp.343-388. https://doi.org/10.1007/978-981-15-2949-8_9 Darwish H.Y.A., Dalirsefat S.B., Dong X., Hua G., Chen J., Zhang Y., Li J., Xu J., Li J., Deng X., and Wu C., 2019, Genome-wide association study and a post replication analysis revealed a promising genomic region and candidate genes for chicken eggshell blueness, Plos one, 14(1): e0209181. https://doi.org/10.1371/journal.pone.0209181 PMid:30673708 PMCid:PMC6343938 Drobik-Czwarno W., Wolc A., Kucharska K., and Martyniuk E., 2019, Genetic determinants of resistance to highly pathogenic avian influenza in chickens, Animal Science and Genetics, 15(2): 9-22. https://doi.org/10.5604/01.3001.0013.5065 Gao J.F., Xu W.W., Zeng T., Tian Y., Wu C.Q., Liu S.Z., Zhao Y., Zhou S.H., Lin X.Q., Cao H.G., and Lu L.Z., 2022, Genome-wide association study of egg-laying traits and egg quality in LingKun chickens, Frontiers in Veterinary Science, 9: 877739. https://doi.org/10.3389/fvets.2022.877739 PMid:35795788 PMCid:PMC9251537 Khwatenge C.N., and Nahashon S.N., 2021, Recent advances in the application of CRISPR/Cas9 gene editing system in poultry species, Frontiers in Genetics, 12: 627714. https://doi.org/10.3389/fgene.2021.627714 PMid:33679892 PMCid:PMC7933658 Lee J.H., 2021, Poultry genetics, breeding and biotechnology, Genes, 12(11): 1744. https://doi.org/10.3390/genes12111744 PMid:34828350 PMCid:PMC8617757 Mortezaei Z., and Tavallaei M., 2021, Novel directions in data pre-processing and genome-wide association study (GWAS) methodologies to overcome ongoing challenges, Informatics in Medicine Unlocked, 24: 100586. https://doi.org/10.1016/j.imu.2021.100586 Nawaz A.H., Amoah K., Leng Q.Y., Zheng J.H., Zhang W.L., and Zhang L., 2021, Poultry response to heat stress: its physiological, metabolic, and genetic implications on meat production and quality including strategies to improve broiler production in a warming world, Frontiers in veterinary science, 8: 699081. https://doi.org/10.3389/fvets.2021.699081 PMid:34368284 PMCid:PMC8342923 Oloyo A., and Ojerinde A., 2019, Poultry housing and management, IntechOpen. https://doi.org/10.5772/intechopen.83811 PMid:32063725 PMCid:PMC6990607 Tam V., Patel N., Turcotte M., Bossé Y., Paré G., and Meyre D., 2019, Benefits and limitations of genome-wide association studies, Nature Reviews Genetics, 20(8): 467-484. https://doi.org/10.1038/s41576-019-0127-1 PMid:31068683 Torrey S., Mohammadigheisar M., Dos Santos M.N., Rothschild D., Dawson L.C., Liu Z.Z., Kiarie E.G., Edwards A.M., Mandell I., Karrow N., Tulpan D., and Widowski T.M., 2021, In pursuit of a better broiler: growth, efficiency, and mortality of 16 strains of broiler chickens, Poultry Science, 100(3): 100955. https://doi.org/10.1016/j.psj.2020.12.052 PMid:33518309 PMCid:PMC7936194 Uffelmann E., Huang Q.Q., Munung N.S., De Vries J., Okada Y., Martin A.R., Martin H.C., Lappalainen T., and Posthuma D., 2021, Genome-wide association studies, Nature Reviews Methods Primers, 1(1): 59. https://doi.org/10.1038/s43586-021-00056-9 Wang S., Wang Y., Li Y., Xiao F., Guo H., Gao H., Wang N., Zhang H., and Li H., 2022, Genome-wide association study and selective sweep analysis reveal the genetic architecture of body weights in a chicken F2 resource population, Frontiers in Veterinary Science, 9: 875454. https://doi.org/10.3389/fvets.2022.875454 PMid:35958311 PMCid:PMC9361851

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