Comparison of Accuracy of breeding value for cow from three methods (PI, PBLUP, and GBLUP) in Hanwoo (Korean cattle) population.

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