Genetic evaluation of dairy cattle using test day yields and random regression model
Genetic evaluation of dairy cattle using test day yields and random regression model
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DOI：
10.3168/jds.s0022-0302(97)76050-8
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发表时间：
1997-06-01
影响因子：
3.5
通讯作者：
Dekkers, JCM
中科院分区：
文献类型：
--
作者：
Jamrozik, J;Schaeffer, LR;Dekkers, JCM
一个模型，用于分析测试日记录，包含固定和随机回归系数的遗传评价的第一泌乳期数据的加拿大荷斯坦奶牛。数据为1988年至1995年期间加拿大四个地区牛群产犊的510万个试验日记录的牛奶、脂肪和蛋白质产量。每只被评估的动物接受代表随机回归系数的每个性状的五个预测。从这些解决方案中，可以计算出哺乳期各个部分的估计育种值范围。比较了三种持久性遗传指标。公牛可以选择的产量和持久性的女儿在任何组合是可取的。试验日分析可以导致每月对产量性状的遗传评估。
A model for analyzing test day records that contains both fixed and random regression coefficients was applied to the genetic evaluation of first lactation data for Canadian Holstein dairy cows. Data were 5.1 million test day records with milk, fat, and protein yields from calvings between 1988 and 1995 from herds in four regions of Canada. Each evaluated animal received five predictions for each trait representing the random regression coefficients. From these solutions, a range of estimated breeding values for various parts of the lactation could be calculated. Three genetic measures of persistency were compared. Bulls could be selected for both yields and persistency of their daughters in whatever combination was desirable. Test day analyses could result in monthly genetic evaluations for yield traits.