Zacytuj

Central Breeding Organization (2022): The Report on the Implementation of Breeding Programs in Livestock of AP Vojvodina for the Year 2021. Available at: https://www.stocarstvo.edu.rs/centar (accessed on 10 September 2023). Search in Google Scholar

Central Breeding Organization (2019): Breeding program for Holstein Frisian breed of cattle in AP Vojvodina. Available at: https://www.og.stocarstvo.edu.rs/op (accessed on 10 September 2023) Search in Google Scholar

Cesarani A., Pocrnic I., Macciotta N.P.P., Fragomeni B.O., Misztal I., Lourenco D.A.L. (2019): Bias in heritability estimates from genomic restricted maximum likelihood methods under different genotyping strategies. Journal of Animal Breeding and Genetics, 136: 40-50. Search in Google Scholar

Delorenzo, M.A. & Wiggans, G.R. (1986): Factors for Estimating Dairy Yield of Milk, Fat, and Protein from a Single Milking for Search in Google Scholar

Herds Milked Twice a Day. Journal of Dairy Science, 69(9): 2386-2394. Search in Google Scholar

Gutierrez-Reinoso M.A., Aponte P.M., Garcia-Herreros M. (2021): Genomic Analysis, Progress and Future Perspectives in Dairy Cattle Selection: A Review. Animals (Basel): 11(3): 599. Search in Google Scholar

Henderson C.R. (1975): Best linear unbiased estimation and prediction under a selection model. Biometrics, 31: 423-447. Search in Google Scholar

Hofer A. (1998): Variance component estimation in animal breeding: a review, Animal Breeding and Genetics, 115(1-6): 247-265. Search in Google Scholar

ICAR (2022): The Global Standard for Livestock Data. Statistics 2022. Available at: https://my.icar.org/stats/list (accessed on 10 September 2023) Search in Google Scholar

ICAR (2022a): The Global Standard for Livestock Data. Section 2 - Guidelines for Diary Cattle Milk Recording. Available at: https://www.icar.org/Guidelines/02-Overview-Cattle-Milk-Recording.pdf (accessed on 10 September 2023). Search in Google Scholar

Khanzadeh H., Ghavi Hossein-Zadeh N., Ghovvati S. (2022): A meta-analysis of the gap between pedigree-based and genomic heritability estimates for production traits in dairy cows. Livestock Science, 263: 105000. Search in Google Scholar

Lee Y.M., Dang C.G., Alam M.Z., Kim Y.S., Cho K.H., Park K.D., Kim J.J. (2020): The effectiveness of genomic selection for milk production traits of Holstein dairy cattle. Asian-Australasian Journal of Animal Sciences, 33(3): 382-389. Search in Google Scholar

Meyer K. (2007): WOMBAT - A tool for mixed model analyses in quantitative genetics by REML. Journal of Zhejiang University-Science B, 8: 815-821. Search in Google Scholar

Misztal I., Tsuruta S., Lourenco D.A.L., Masuda Y., Aguilar I., Legarra A., Vitezica Z. (2018): Manual for BLUPF90 Family Programs, University of Georgia. Available at: http://nce.ads.uga.edu/wiki/doku.php?id=documentation (accessed on 17 June 2023). Search in Google Scholar

Oliveira Junior G.A., Schenkel F.S., Alcantara L., Houlahan K., Lynch C., Baes C.F. (2021): Estimated genetic parameters for all genetically evaluated traits in Canadian Holsteins, Journal of Dairy Science, 104(8): 9002-9015. Search in Google Scholar

Patterson H.D. & Thompson R. (1971): Recovery of Inter-Block Information when Block Sizes are Unequal. Biometrika, 58(3): 545-554. Search in Google Scholar

Sahin A., Ulutas Z., Adkinson A.Y., Adkinson R.W. (2012): Genetic and environmental parameters and trends for milk production of Holstein cattle in Turkey. Italian Journal of Animal Science, 11(e4): 242-248. Search in Google Scholar

Sermyagin А.А., Gladyr Е.А., Plemyashov K.V., Kudinov А.A., Dotsev A.V., Deniskova Т.Е., Zinovieva N.A. (2016): Genome-Wide Association Studies for Milk Production Traits in Russian Population of Holstein and Black-and-White Cattle. In: Anisimov, K., et al. Proceedings of the Scientific-Practical Conference “Research and Development - 2016”. Springer, Cham. Search in Google Scholar

Štrbac Lj., Pracner D., Šaran M., Janković D., Trivunović S., Ivković M., Tarjan L., Dedović N. (2023): Mathematical Modeling and Software Tools for Breeding Value Estimation Based on Phenotypic, Pedigree and Genomic Information of Holstein Friesian Cattle in Serbia. Animals, 13: 597. Search in Google Scholar

Van der Werf J (2009): Estimation of Genetic Parameters. Available at: https://www.woolwise.com/wp-content/uploads/2017/07/GENE-422-522-11-T-07.pdf (accessed 20 August 2023). Search in Google Scholar

Weller J.I., Ezra E., Ron M. (2017): Invited review: A perspective on the future of genomic selection in dairy cattle. Journal of Dairy Science, 100: 8633-8644. Search in Google Scholar

Zhu H. & Zhou X. (2020): Statistical methods for SNP heritability estimation and partition: A review. Computational and Structural Biotechnology Journal, 18: 1557-1568. Search in Google Scholar

eISSN:
2466-4774
Język:
Angielski