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KMID : 1025520130550010013
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Journal of Animal Science and Technology
2013 Volume.55 No. 1 p.13 ~ p.18
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Estimation of the Accuracy of Genomic Breeding Value in Hanwoo (Korean Cattle)
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Lee Seung-Soo
Lee Seung-Hwan
Choi Tae-Jeong
Choy Yun-Ho
Cho Kwang-Hyun
Choi You-Lim
Cho Yong-Min
Kim Nae-Soo
Lee Jung-Jae
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Abstract
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This study was conducted to estimate the Genomic Estimated Breeding Value (GEBV) using Genomic Best Linear Unbiased Prediction (GBLUP) method in Hanwoo (Korean native cattle) population. The result is expected to adapt genomic selection onto the national Hanwoo evaluation system. Carcass weight (CW), eye muscle area (EMA), backfat thickness (BT), and marbling score (MS) were investigated in 552 Hanwoo progeny-tested steers at Livestock Improvement Main Center. Animals were genotyped with Illumina BovineHD BeadChip (777K SNPs). For statistical analysis, Genetic Relationship Matrix (GRM) was formulated on the basis of genotypes and the accuracy of GEBV was estimated with 10-fold Cross-validation method. The accuracies estimated with cross-validation method were between 0.915~0.957. In 534 progeny-tested steers, the maximum difference of GEBV accuracy compared to conventional EBV for CW, EMA, BT, and MS traits were 9.56%, 5.78%, 5.78%, and 4.18% respectively. In 3,674 pedigree traced bulls, maximum increased difference of GEBV for CW, EMA, BT, and MS traits were increased as 13.54%, 6.50%, 6.50%, and 4.31% respectively. This showed that the implementation of genomic pre-selection for candidate calves to test on meat production traits could improve the genetic gain by increasing accuracy and reducing generation interval in Hanwoo genetic evaluation system to select proven bulls.
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KEYWORD
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GBLUP, GEBV, SNP, Cross-validation, Genomic selection
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