Empirical estimates of the accuracy of estimates of breeding values (EBV) can be obtained
by cross‐validation. Leave‐one‐out cross‐validation (LOOCV) is an extreme case of k‐fold
cross‐validation. Efficient strategies for LOOCV of predictions of phenotypes have been
developed for a simple model with an overall mean and random marker or animal genetic
effects. The objective here was to develop and evaluate an efficient LOOCV method for
prediction of breeding values and other random effects under a general mixed linear model …

Efficient strategies have been developed for leave-one-out cross validation (LOOCV) of
predicted phenotypes in a simple model with an overall mean and marker effects or animal
genetic effects to evaluate the accuracy of genomic predictions. For such a model, the
correlation between the predicted and the observed phenotype is identical to the correlation
between the observed phenotype and the estimated breeding value (EBV). When the model
is more complex, with multiple fixed and random effects, although the correlation between …