Abstract Background In future Best Linear Unbiased Prediction (BLUP) evaluations of dairy
cattle, genomic selection of young sires will cause evaluation biases and loss of accuracy …

The number of genotyped animals has increased rapidly creating computational challenges
for genomic evaluation. In animal model BLUP, candidate animals without progeny and …

A genomic preselection step of young sires is now often included in dairy cattle breeding
schemes. Young sires are selected based on their genomic breeding values. They have …

The validation of estimated breeding values from single-step genomic BLUP (ssGBLUP) is
an important topic, as more and more countries and animal populations are currently …

Background The purpose of this work was to study the impact of both the size of genomic
reference populations and the inclusion of a residual polygenic effect on dairy cattle genetic …

In animal breeding, parents of the next generation are usually selected in multiple stages,
and the initial stages of this selection are called preselection. Preselection reduces the …

In practical implementations of marker-assisted selection economic and logistic restrictions
frequently lead to incomplete genotypic data for the animals of interest. This may result in …

Background Bias has been reported in genetic or genomic evaluations of several species.
Common biases are systematic differences between averages of estimated and true …

The success and sustainability of a breeding program incorporating genomic information is
largely dependent on the accuracy of predictions. For low heritability traits, large training …

The inclusion of a pre-selection step based on genomic selection in breeding schemes
invalidates some of the assumptions necessary to get optimal BLUP properties in (inter) …