Best Linear Unbiased Prediction of Breeding Values Not in the Model for Records

Abstract

Methods for computing best linear unbiased predictions of random variables (breeding values or sire values) not appearing in the model for records are presented. One method involves taking linear functions of best linear unbiased predictions of variables appearing in the model for records. The second method involves expanding the usual mixed model equations to include variables not in the model.