Publications by authors named "Du-Won Sun"
Article Synopsis
- The study compares traditional pedigree BLUP (PBLUP) and the newer single step GBLUP (ssGBLUP) methods for estimating breeding values in Hanwoo cattle, focusing on individuals with the same parentage and no existing phenotype.
- Results show that ssGBLUP provides more accurate genomic breeding values (GEBV), with an increase in accuracy of 0.18 to 0.20 over PBLUP, by incorporating genetic information.
- The use of ssGBLUP allows for better differentiation between individuals based on their genotypes, leading to improved selection and evaluation in cattle breeding.
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).
View Article and Find Full Text PDFThis study was conducted to construct basic data for the selection of elite cows by analyzing the estimated breeding value (EBV) and accuracy using the pedigree of Hanwoo cows in Gyeongnam. The phenotype trait used in the analysis are the carcass weight (CWT), eye muscle area (EMA), backfat thickness (BFT) and marbling score (MS). The pedigree of the test group and reference group was collected to build a pedigree structure and a numeric relationship matrix (NRM).
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