Comparison of accuracy of breeding value for cow from three methods in Hanwoo (Korean cattle) population

• Published in: Journal of animal science and technology Vol. 65; no. 4; pp. 720 - 734
• Main Authors: Lee, Hyo Sang, Kim, Yeongkuk, Lee, Doo Ho, Seo, Dongwon, Lee, Dong Jae, Do, Chang Hee, Dinh, Phuong Thanh N, Ekanayake, Waruni, Lee, Kil Hwan, Yoon, Duhak, Lee, Seung Hwan, Koo, Yang Mo
• Format: Journal Article
• Language: English
• Published: Korea (South) Korean Society of Animal Sciences and Technology 01-07-2023; 한국축산학회
• Subjects: Accuracy; Effective number of chromosome segments (Me); Genomic estimated breeding value; Hanwoo cattle; Pedigree estimated breeding value; Pedigree index; 축산학; Hanwoo cattle; Effective number of chromosome segments (Me); Pedigree estimated breeding value; Accuracy; Genomic estimated breeding value; Pedigree index
• ISSN: 2055-0391; 2672-0191; 2055-0391; 2093-6281
• DOI: 10.5187/JAST.2023.E5

In Korea, Korea Proven Bulls (KPN) program has been well-developed. Breeding and evaluation of cows are also an essential factor to increase earnings and genetic gain. This study aimed to evaluate the accuracy of cow breeding value by using three methods (pedigree index [PI], pedigree-based best linear unbiased prediction [PBLUP], and genomic-BLUP [GBLUP]). The reference population (n = 16,971) was used to estimate breeding values for 481 females as a test population. The accuracy of GBLUP was 0.63, 0.66, 0.62 and 0.63 for carcass weight (CWT), eye muscle area (EMA), back-fat thickness (BFT), and marbling score (MS), respectively. As for the PBLUP method, accuracy of prediction was 0.43 for CWT, 0.45 for EMA, 0.43 for MS, and 0.44 for BFT. Accuracy of PI method was the lowest (0.28 to 0.29 for carcass traits). The increase by approximate 20% in accuracy of GBLUP method than other methods could be because genomic information may explain Mendelian sampling error that pedigree information cannot detect. Bias can cause reducing accuracy of estimated breeding value (EBV) for selected animals. Regression coefficient between true breeding value (TBV) and GBLUP EBV, PBLUP EBV, and PI EBV were 0.78, 0.625, and 0.35, respectively for CWT. This showed that genomic EBV (GEBV) is less biased than PBLUP and PI EBV in this study. In addition, number of effective chromosome segments (
) statistic that indicates the independent loci is one of the important factors affecting the accuracy of BLUP. The correlation between
and the accuracy of GBLUP is related to the genetic relationship between reference and test population. The correlations between
and accuracy were -0.74 in CWT, -0.75 in EMA, -0.73 in MS, and -0.75 in BF, which were strongly negative. These results proved that the estimation of genetic ability using genomic data is the most effective, and the smaller the
, the higher the accuracy of EBV.