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KMID : 0613820220320040279
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Journal of Life Science
2022 Volume.32 No. 4 p.279 ~ p.284
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The Accuracy of Genomic Estimated Breeding Value Using a Hanwoo SNP Chip and the Pedigree Data of Hanwoo Cows in Gyeonggi Province
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Lee Gwang-Hyeon
Lee Yoon-Seok
Moon Seon-Jeong
Kong Hong-Sik
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Abstract
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This study was conducted to establish a genetic evaluation system applicable to general farms for improving cows raised on farms. The analysis used Best Linear Unbiased Prediction (BLUP) and Genomic Best Linear Unbiased Prediction (GBLUP) for 619 cows raised in Gyeonggi-do Province and compared and analyzed the accuracy of the estimated breeding value according to four traits (carcass weight, loineye muscle area, back fat thickness, and marbling). In the case of the GBLUP method, the size of the reference population was divided into different four groups and analyzed. The analysis results confirmed that the accuracy of the breeding value of each trait increased as the size of the GBLUP reference population increased. Comparing the accuracy of the breeding values estimated using the BLUP and GBLUP methods, it was confirmed that when the breeding values were estimated using the GBLUP method, they increased by 0.10, 0.09, 0.09, and 0.11 for carcass weight, eye muscle area, back fat thickness, and marbling scores, respectively. Applying the GBLUP method to the evaluation and selection of cows can enable precise and accurate individual selection, while increasing the size of the reference population can make even more accurate individual selection possible, thus increasing selection efficiency.
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KEYWORD
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BLUP, GBLUP, genetic evaluation, Hanwoo, SNP chip
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