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Bermann M., et al., 2021. Modeling genetic differences of combined broiler chicken populations in single-step GBLUP. J Anim Sci. Apr 1;99(4):Search in Google Scholar
Cappetta E., et al., 2021. Tomato genomic prediction for good performance under high-temperature and identification of loci involved in thermotolerance response. Hortic Res. 2021 Oct 1;8(1):212.Search in Google Scholar
Da Costa Barros C., et al., 2018. Use of single step genome wide association studies for prospecting genomic regions related to milk production and milk quality of buffalo. Journal of Dairy Research 85 (4), 402 - 406.Search in Google Scholar
Du C., et al., 2019. Systematic analyses for candidate genes of milk production traits in water buffalo (Bubalus Bubalis Animal genetics 50 (3), 207 – 216Search in Google Scholar
Duanyang R., et al., 2021. Impact of Marker Pruning Strategies Based on Different Measurements of Marker Distance on Genomic Prediction in Dairy Cattle, Animals, 11, 1992.Search in Google Scholar
Gao S., et al., 2021. Comparing empirical kinship derived heritability for imaging genetic traits in the UK biobank and human connectome project. Neuroimage. 2021 Dec 15; 245:118700.Search in Google Scholar
Hayes B.J., et al., 2009. Invited review: genomic selection in dairy cattle: progress and challenges. J Dairy Sci 92: 433–443.Search in Google Scholar
Juan Zambrano A., et al., 2015. Estimation and comparison of conventional and genomic breeding values in Holstein cattle of Antioquia, Colombia, Rev.MVZ Córdoba 20(3):4739-4753.Search in Google Scholar
Leisner T., et al., 2016. CIB1: a small protein with big ambitions. FASEB J. Aug;30(8):2640-50. doi: 10.1096/fj.201500073R.Search in Google Scholar
Lu D., et al., 2021. Trends in genetic diversity and the effect of inbreeding in American Angus cattle under genomic selection. Genet Sel Evol. 2021 Jun 16;53(1):50.Search in Google Scholar
Mancisidor B., et al., 2021. ssGBLUP Method Improves the Accuracy of Breeding Value Prediction in Huacaya Alpaca. Animals (Basel). 2021 Oct 26;11(11):3052.Search in Google Scholar
Nissen A., et al., 2017. Colostrum and milk protein rankings and ratios of importance to neonatal calf health using a proteomics approach. Journal of Dairy Science 100 (4), 2711 2728.Search in Google Scholar
Ogorevc J., et al., 2009. Database of cattle candidate genes and genetic markers for milk production and mastitis. Animal Genetics, 40, 832–851.Search in Google Scholar
Olschewsky A., and Dirk H. 2021. An Overview of the Use of Genotyping Techniques for Assessing Genetic Diversity in Local Farm Animal Breeds, Animals 11, no. 7.Search in Google Scholar
Pryce, J. E., et al., 2010. Genetic markers for lactation persistency in primiparous Australian dairy cows. Journal of dairy science, 93(5), 2202-2214.Search in Google Scholar
Sabag I., et al., 2021. Genome-wide association analysis uncovers the genetic architecture of tradeoff between flowering date and yield components in sesame. BMC Plant Biol. Nov 22;21(1):549.Search in Google Scholar
Sungkhapreecha P., et al., 2021 Validation of single-step genomic predictions using the linear regression method for milk yield and heat tolerance in a Thai-Holstein population. Vet World. 2021 Dec;14(12):3119-3125.Search in Google Scholar
Venturini, G. C., et al., 2014. Association between single nucleotide polymorphisms and milk production traits in buffalo. Genet Mol Res, 13(4), 10256 68.Search in Google Scholar
Xing C. et al., 2015. Combining genome wide association studies and differential gene expression data analyses identifies candidate genes affecting mastitis caused by two different pathogens in the dairy cow. Open Journal of Animal Sciences, 5, 358-393.Search in Google Scholar
Yodklaew, P., et al., 2017. Genome wide association study for lactation characteristics, milk yield and age at first calving in a Thai multibreed dairy cattle population. Agriculture and Natural Resources, 51(3), 223 - 230.Search in Google Scholar
Zazuli Z., et al., 2021. Association between Genetic Variants and Cisplatin-Induced Nephrotoxicity: A Genome-Wide Approach and Validation Study. J Pers Med. Nov 20;11(11):1233.Search in Google Scholar
Zhang M., et al., 2022. Genomic Selection for Milk Production Traits in Xinjiang Brown Cattle. Animals (Basel). Jan 7;12(2):136.Search in Google Scholar
Zsolnai, A., et al., 2021. Identification of markers associated with estimated breeding value and horn colour in Hungarian Grey cattle. Anim Biosci Vol. 34, No. 4:482-488.Search in Google Scholar
