Best Linear Unbiased Prediction of Sire Breeding Values from Part Lactations of Daughters

Open Access
Publisher Website
Google Scholar
Abstract
The use of partial records of cows to obtain proofs on young sires in artificial insemination (AI) would shorten the time required to make selection decisions. The objective was to compare the accuracy of sire evaluations based on 150, 200, 250 and 305 day milk yields of daughters. Accuracy was defined as a ratio of the square root of variance of prediction errors to variance of breeding values. Utilizing additive genetic relationships among sires increased accuracy of sire evaluation, particulary of sires with few daughters. An evaluation with 18 daughters/sire by 150 day milk yields gave accuracy equivalent to evaluation by 305 day milk yields for .apprx. 14 daughters. About 11.8% more genetic progress was expected from 305 day records than from 150 day records on 25 daughters. Additive genetic relationships among sires were more advantageous for proofs of short records than for proofs of 305 day milk yields.

This publication has 5 references indexed in Scilit: