Hagiya Koichi
Department of Life and Food Science, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Japan.
Anim Sci J. 2019 Apr;90(4):457-461. doi: 10.1111/asj.13190. Epub 2019 Feb 14.
The procedure used for the genetic evaluation of dairy cattle in Japan has developed from a lactation sire-MGS model to a multiple-lactation random regression test-day animal model. Genetic evaluation of Holstein bulls in Japan began in 1989 with the use of field-style progeny testing; dairy herd improvement program data from all over Japan were used, along with a sire and maternal grandsire model. In 1993, an animal model was introduced to estimate breeding values for yield and type traits. A random regression test-day model was first applied in 2010. In the business of breeding dairy cattle, it is very important to users that estimated breeding values are reliable and stable among subsequent routine evaluations. With experience in the genetic evaluation of dairy cattle in Japan, Japanese researchers have found ways to improve the stability of estimated breeding values. These modifications involve changes in data editing, development of evaluation models, changes to the structures of unknown-parent groups, awareness of the problems of predicting lactation yield from partial test-day records, and adjustment for heterogeneity within herd variances. Here, I introduce developments in, and our experiences with, the genetic evaluation of yield traits of Holstein cattle in Japan.
日本用于奶牛遗传评估的程序已从泌乳父系-MGS模型发展为多泌乳期随机回归测定日动物模型。日本荷斯坦公牛的遗传评估始于1989年,采用田间式后裔测定;使用了来自日本各地的奶牛群改良计划数据,以及父系和外祖父模型。1993年,引入了动物模型来估计产奶量和体型性状的育种值。随机回归测定日模型于2010年首次应用。在奶牛养殖业务中,对用户来说,估计的育种值在后续常规评估中可靠且稳定非常重要。凭借在日本奶牛遗传评估方面的经验,日本研究人员找到了提高估计育种值稳定性的方法。这些改进包括数据编辑的变化、评估模型的开发、未知亲本群体结构的改变、从部分测定日记录预测泌乳产量问题的认识以及群体方差内异质性的调整。在此,我介绍日本荷斯坦奶牛产奶性状遗传评估的进展及我们的经验。