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韩牛(韩国牛)的系谱和基因型估计育种值和准确性。

Estimation of breeding value and accuracy using pedigree and genotype of Hanwoo cows (Korean cattle).

机构信息

Department of Animal Science, Gyeongsang National University, Jinju, Korea.

Department of Animal Science and Biotechnology, Gyeongsang National University, Jinju, Korea.

出版信息

J Anim Breed Genet. 2022 May;139(3):281-291. doi: 10.1111/jbg.12661. Epub 2021 Dec 13.

Abstract

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). The test group acquired pedigree and genotype of 919 Hanwoo cows in the Gyeongnam area. The traits used for analysis were carcass weight (CWT), eye muscle areas (EMA), backfat thickness (BFT) and marbling score (MS). PBLUP used Reference group 1 containing the pedigree and phenotype of 919 Hanwoo cows and 545,483 heads to construct the numeric relationship matrix and estimated the EBV and accuracy. GBLUP used Reference group 2 containing the genotype and phenotype of 919 Hanwoo cows and 17,226 heads to construct the genomic relationship matrix and estimated the genomic EBV (GEBV) and accuracy. In the order of CWT, EMA, BFT and MS, the accuracy of PBLUP was 0.488, 0.480, 0.482 and 0.486 while the accuracy of GBLUP was higher with 0.779, 0.758, 0.766 and 0.791. And for 104 cows without relationship coefficient on pedigree to the reference group, the accuracy as PBLUP was estimated to be 0, but for GBLUP, it was possible to estimate the accuracy for all individuals. If GBLUP is applied to cows raised in general farms, the genetic evaluation can be performed even on animals without pedigree and high-accuracy estimation, enabling selection of excellent cows. Accordingly, by securing the genetic diversity of cows, it is expected to increase the profitability of farms by decreasing the inbreeding rate and increasing efficiency of elite calf production.

摘要

韩牛的遗传改良依赖于基于系谱的韩国已证实公牛数量的估计育种值 (EBV),而由于系谱和测试记录不足,对母牛进行遗传评估较为困难。基因组选择涉及利用个体的基因型来估计育种值 (BV),并被确定为缺乏测试信息的母牛的一种合适的评估方法。本研究使用系谱和基因型来估计和分析在庆尚南道的韩牛母牛的 BV 和准确性,使用系谱最佳线性无偏预测 (PBLUP) 和基因组最佳线性无偏预测 (GBLUP)。实验组获得了在庆尚南道的 919 头韩牛母牛的系谱和基因型。用于分析的性状有胴体体重 (CWT)、眼肌面积 (EMA)、背膘厚 (BFT) 和大理石花纹评分 (MS)。PBLUP 使用包含 919 头韩牛母牛的系谱和表型以及 545483 个头的参考组 1 来构建数值关系矩阵,并估计 EBV 和准确性。GBLUP 使用包含 919 头韩牛母牛的基因型和表型以及 17226 个头的参考组 2 来构建基因组关系矩阵,并估计基因组 EBV (GEBV) 和准确性。按照 CWT、EMA、BFT 和 MS 的顺序,PBLUP 的准确性分别为 0.488、0.480、0.482 和 0.486,而 GBLUP 的准确性更高,分别为 0.779、0.758、0.766 和 0.791。对于与参考组没有系谱关系系数的 104 头母牛,PBLUP 的估计准确性为 0,但对于 GBLUP,对于所有个体都可以估计准确性。如果将 GBLUP 应用于普通农场饲养的母牛,则即使没有系谱也可以进行遗传评估,并且可以进行高精度估计,从而选择优秀的母牛。因此,通过确保母牛的遗传多样性,可以降低近交率并提高优秀牛犊的生产效率,从而提高农场的盈利能力。

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