Have a personal or library account? Click to login
Heritability and Repeatability Estimates for Milk Production Traits Using Phenotypic, Pedigree-Based and Genomic Data of Serbian Holstein Cows Cover

Heritability and Repeatability Estimates for Milk Production Traits Using Phenotypic, Pedigree-Based and Genomic Data of Serbian Holstein Cows

Open Access
|Dec 2023

References

  1. 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).
  2. 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)
  3. 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.
  4. Delorenzo, M.A. & Wiggans, G.R. (1986): Factors for Estimating Dairy Yield of Milk, Fat, and Protein from a Single Milking for
  5. Herds Milked Twice a Day. Journal of Dairy Science, 69(9): 2386-2394.
  6. 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.
  7. Henderson C.R. (1975): Best linear unbiased estimation and prediction under a selection model. Biometrics, 31: 423-447.
  8. Hofer A. (1998): Variance component estimation in animal breeding: a review, Animal Breeding and Genetics, 115(1-6): 247-265.
  9. ICAR (2022): The Global Standard for Livestock Data. Statistics 2022. Available at: https://my.icar.org/stats/list (accessed on 10 September 2023)
  10. 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).
  11. 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.
  12. 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.
  13. Meyer K. (2007): WOMBAT - A tool for mixed model analyses in quantitative genetics by REML. Journal of Zhejiang University-Science B, 8: 815-821.
  14. 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).
  15. 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.
  16. Patterson H.D. & Thompson R. (1971): Recovery of Inter-Block Information when Block Sizes are Unequal. Biometrika, 58(3): 545-554.
  17. 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.
  18. 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.
  19. 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.
  20. 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).
  21. 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.
  22. Zhu H. & Zhou X. (2020): Statistical methods for SNP heritability estimation and partition: A review. Computational and Structural Biotechnology Journal, 18: 1557-1568.
DOI: https://doi.org/10.2478/contagri-2023-0034 | Journal eISSN: 2466-4774 | Journal ISSN: 0350-1205
Language: English
Page range: 251 - 260
Submitted on: Oct 9, 2023
|
Accepted on: Dec 11, 2023
|
Published on: Dec 22, 2023
Published by: University of Novi Sad
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2023 Ljuba Štrbac, Nebojša Dedović, Snežana Trivunović, Dobrila Janković, Momčilo Šaran, Dragan Stanojević, Radica Đedović, Doni Pracner, published by University of Novi Sad
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.