Estimation of genetic correlations and genomic prediction accuracy for reproductive and carcass traits in Hanwoo cows
- PMID: 39165742
- PMCID: PMC11331368
- DOI: 10.5187/jast.2024.e75
Estimation of genetic correlations and genomic prediction accuracy for reproductive and carcass traits in Hanwoo cows
Abstract
This study estimated the heritabilities (h2) and genetic and phenotypic correlations between reproductive traits, including calving interval (CI), age at first calving (AFC), gestation length (GL), number of artificial inseminations per conception (NAIPC), and carcass traits, including carcass weight (CWT), eye muscle area (EMA), backfat thickness (BF), and marbling score (MS) in Korean Hanwoo cows. In addition, the accuracy of genomic predictions of breeding values was evaluated by applying the genomic best linear unbiased prediction (GBLUP) and the weighted GBLUP (WGBLUP) method. The phenotypic data for reproductive and carcass traits were collected from 1,544 Hanwoo cows, and all animals were genotyped using Illumina Bovine 50K single nucleotide polymorphism (SNP) chip. The genetic parameters were estimated using a multi-trait animal model using the MTG2 program. The estimated h2 for CI, AFC, GL, NAIPC, CWT, EMA, BF, and MS were 0.10, 0.13, 0.17, 0.11, 0.37, 0.35, 0.27, and 0.45, respectively, according to the GBLUP model. The GBLUP accuracy estimates ranged from 0.51 to 0.74, while the WGBLUP accuracy estimates for the traits under study ranged from 0.51 to 0.79. Strong and favorable genetic correlations were observed between GL and NAIPC (0.61), CWT and EMA (0.60), NAIPC and CWT (0.49), AFC and CWT (0.48), CI and GL (0.36), BF and MS (0.35), NAIPC and EMA (0.35), CI and BF (0.30), EMA and MS (0.28), CI and AFC (0.26), AFC and EMA (0.24), and AFC and BF (0.21). The present study identified low to moderate positive genetic correlations between reproductive and CWT traits, suggesting that a heavier body weight may lead to a longer CI, AFC, GL, and NAIPC. The moderately positive genetic correlation between CWT and AFC, and NAIPC, with a phenotypic correlation of nearly zero, suggesting that the genotype-environment interactions are more likely to be responsible for the phenotypic manifestation of these traits. As a result, the inclusion of these traits by breeders as selection criteria may present a good opportunity for developing a selection index to increase the response to the selection and identification of candidate animals, which can result in significantly increased profitability of production systems.
Keywords: Carcass traits; Correlation; Hanwoo; Heritability; Reproductive traits.
© Copyright 2024 Korean Society of Animal Science and Technology.
Conflict of interest statement
No potential conflict of interest relevant to this article was reported.
Figures

Similar articles
-
Evaluation of genomic breeding values and accuracy for carcass traits in Korean Hanwoo cows using whole-genome SNP chip panels.Mamm Genome. 2025 Jun 17. doi: 10.1007/s00335-025-10142-y. Online ahead of print. Mamm Genome. 2025. PMID: 40527960
-
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
-
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.
-
Assessment of genomic breeding values and their accuracies for carcass traits in Jeju Black cattle using whole-genome SNP chip panels.J Anim Breed Genet. 2023 Sep;140(5):519-531. doi: 10.1111/jbg.12776. Epub 2023 Apr 26. J Anim Breed Genet. 2023. PMID: 37102238
-
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
-
Evaluation of genomic breeding values and accuracy for carcass traits in Korean Hanwoo cows using whole-genome SNP chip panels.Mamm Genome. 2025 Jun 17. doi: 10.1007/s00335-025-10142-y. Online ahead of print. Mamm Genome. 2025. PMID: 40527960
-
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
-
Genome-wide association study identifies genomic regions associated with key reproductive traits in Korean Hanwoo cows.BMC Genomics. 2024 May 23;25(1):496. doi: 10.1186/s12864-024-10401-3. BMC Genomics. 2024. PMID: 38778305 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.
References
-
- Jo C, Cho SH, Chang J, Nam KC. Keys to production and processing of Hanwoo beef: a perspective of tradition and science. Anim Front. 2012;2:32–8. doi: 10.2527/af.2012-0060. - DOI
-
- Dekkers JCM. Estimation of economic values for dairy cattle breeding goals: bias due to sub-optimal management policies. Livest Prod Sci. 1991;29:131–49. doi: 10.1016/0301-6226(91)90062-U. - DOI
-
- Boichard D. Estimation of the economic value of conception rate in dairy cattle. Livest Prod Sci. 1990;24:187–204. doi: 10.1016/0301-6226(90)90001-M. - DOI
-
- Cammack KM, Thomas MG, Enns RM. Reproductive traits and their heritabilities in beef cattle. Prof Anim Sci. 2009;25:517–28. doi: 10.15232/S1080-7446(15)30753-1. - DOI
LinkOut - more resources
Full Text Sources
Research Materials
Miscellaneous