Estimation of breeding value and accuracy using pedigree and genotype of Hanwoo cows (Korean cattle)
- PMID: 34902178
- DOI: 10.1111/jbg.12661
Estimation of breeding value and accuracy using pedigree and genotype of Hanwoo cows (Korean cattle)
Abstract
The genetic improvement of Hanwoo is dependent on the estimated breeding value (EBV) of pedigree-based Korean proven bull's number, and the genetic evaluation for cows is difficult due to insufficient pedigree and test records. Genomic selection involves utilizing the individual's genotype to estimate the breeding value (BV) and is determined to be an appropriate evaluation method for cows who lack test information. This study used pedigree and genotype to estimate and analyse BV and accuracy of Hanwoo cows in the Gyeongnam area using pedigree best linear unbiased prediction (PBLUP) and genomic best linear unbiased prediction (GBLUP). The test group acquired pedigree and genotype of 919 Hanwoo cows in the Gyeongnam area. The traits used for analysis were carcass weight (CWT), eye muscle areas (EMA), backfat thickness (BFT) and marbling score (MS). PBLUP used Reference group 1 containing the pedigree and phenotype of 919 Hanwoo cows and 545,483 heads to construct the numeric relationship matrix and estimated the EBV and accuracy. GBLUP used Reference group 2 containing the genotype and phenotype of 919 Hanwoo cows and 17,226 heads to construct the genomic relationship matrix and estimated the genomic EBV (GEBV) and accuracy. In the order of CWT, EMA, BFT and MS, the accuracy of PBLUP was 0.488, 0.480, 0.482 and 0.486 while the accuracy of GBLUP was higher with 0.779, 0.758, 0.766 and 0.791. And for 104 cows without relationship coefficient on pedigree to the reference group, the accuracy as PBLUP was estimated to be 0, but for GBLUP, it was possible to estimate the accuracy for all individuals. If GBLUP is applied to cows raised in general farms, the genetic evaluation can be performed even on animals without pedigree and high-accuracy estimation, enabling selection of excellent cows. Accordingly, by securing the genetic diversity of cows, it is expected to increase the profitability of farms by decreasing the inbreeding rate and increasing efficiency of elite calf production.
Keywords: accuracy; elite cow; genomic selection; genotype; pedigree.
© 2021 Wiley-VCH GmbH.
Similar articles
-
Comparison of accuracy of breeding value for cow from three methods in Hanwoo (Korean cattle) population.J Anim Sci Technol. 2023 Jul;65(4):720-734. doi: 10.5187/jast.2023.e5. Epub 2023 Jul 30. J Anim Sci Technol. 2023. PMID: 37970511 Free PMC article.
-
The study on estimated breeding value and accuracy for economic traits in Gyoungnam Hanwoo cow (Korean cattle).J Anim Sci Technol. 2020 Jul;62(4):429-437. doi: 10.5187/jast.2020.62.4.429. Epub 2020 Jul 31. J Anim Sci Technol. 2020. PMID: 32803175 Free PMC article.
-
Weighted Genomic Best Linear Unbiased Prediction for Carcass Traits in Hanwoo Cattle.Genes (Basel). 2019 Dec 6;10(12):1019. doi: 10.3390/genes10121019. Genes (Basel). 2019. PMID: 31817753 Free PMC article.
-
Comparison on genomic prediction using pedigree BLUP and single step GBLUP through the Hanwoo full-sib family.Anim Biosci. 2023 Sep;36(9):1327-1335. doi: 10.5713/ab.22.0327. Epub 2023 May 2. Anim Biosci. 2023. PMID: 37170517 Free PMC article.
-
Exploring and Identifying Candidate Genes and Genomic Regions Related to Economically Important Traits in Hanwoo Cattle.Curr Issues Mol Biol. 2022 Dec 4;44(12):6075-6092. doi: 10.3390/cimb44120414. Curr Issues Mol Biol. 2022. PMID: 36547075 Free PMC article. Review.
Cited by
-
Accuracy of Genomic prediction for fleece traits in Inner Mongolia Cashmere goats.BMC Genomics. 2024 Apr 8;25(1):349. doi: 10.1186/s12864-024-10249-7. BMC Genomics. 2024. Retraction in: BMC Genomics. 2025 Feb 19;26(1):163. doi: 10.1186/s12864-025-11353-y. PMID: 38589806 Free PMC article. Retracted.
-
Impacts of reference population size and methods on the accuracy of genomic prediction for fleece traits in Inner Mongolia Cashmere Goats.Front Vet Sci. 2024 Feb 5;11:1325831. doi: 10.3389/fvets.2024.1325831. eCollection 2024. Front Vet Sci. 2024. PMID: 38374988 Free PMC article.
-
Weighted GBLUP in Simulated Beef Cattle Populations: Impact of Reference Population, Marker Density, and Heritability.Animals (Basel). 2025 Apr 12;15(8):1118. doi: 10.3390/ani15081118. Animals (Basel). 2025. PMID: 40281952 Free PMC article.
-
Performance of weighted genomic BLUP and Bayesian methods for Hanwoo carcass traits.Trop Anim Health Prod. 2025 Jan 28;57(2):38. doi: 10.1007/s11250-025-04293-y. Trop Anim Health Prod. 2025. PMID: 39873929
-
Single-Step Genomic Prediction of Superovulatory Response Traits in Japanese Black Donor Cows.Biology (Basel). 2023 May 15;12(5):718. doi: 10.3390/biology12050718. Biology (Basel). 2023. PMID: 37237533 Free PMC article.
References
REFERENCES
-
- Browning, B. L., Zhou, Y., & Browning, S. R. (2018). A one-penny imputed genome from next generation reference panels. The American Journal of Human Genetics, 103(3), 338-348. https://doi.org/10.1016/j.ajhg.2018.07.015
-
- Cho, C. I. (2013). Accuracy of breeding value prediction and genetic gain of carcass traits in Hanwoo breeding population through Application of genomic selection technology. Doctoral thesis, Hankyong National University, Korea. Retrieved from http://www.riss.kr/link?id=T13191809
-
- Choi, T. J., Lim, D. J., Park, B. Y., Sharma, A., Kim, J. J., Kim, S. D., & Lee, S. H. (2017). Accuracy of genomic breeding value prediction for intramuscular fat using different genomic relationship matrices in Hanwoo(Korean cattle). Australasian Journal of Animal Sciences, 30(7), 907-911. https://doi.org/10.5713/ajas.15.0983
-
- Christensen, O. F., Madsen, P., Nielsen, B., Ostersen, T., & Su, G. (2012). Single-step methods for genomic evaluation in pigs. Animal, 6(10), 1565-1571. https://doi.org/10.1017/S1751731112000742
-
- Dang, C. G., Kim, H. C., Jang, S. S., Lee, J. M., Hong, Y. H., Jeon, G. J., Yeon, S. H., Kang, H. S., Yang, B. S., Hong, S. K., Lee, J. H., & Lee, S. H. (2013). Estimation of genetic parameter for carcass traits of commercial steers in Pyeongchang. CNU Journal of Agricultural Science, 40(4), 339-345. https://doi.org/10.7744/cnujas.2013.40.4.339
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Research Materials