Increasing food production for the growing human population off a constraining land base
will require greater efficiency of production. Genetic improvement of feed efficiency in cattle …

Estimating the genetic basis of quantitative traits can be tricky for wild populations in natural
environments, as environmental variation frequently obscures the underlying evolutionary …

Whole-genome enabled prediction of complex traits has received enormous attention in
animal and plant breeding and is making inroads into human and even Drosophila genetics …

ASReml is a statistical package that fits linear mixed models using Residual Maximum
Likelihood (REML). It has been under development since 1993 and is a joint venture …

Best linear unbiased prediction (BLUP) is a standard method for estimating random effects
of a mixed model. This method was originally developed in animal breeding for estimation of …

Background Genomic prediction of breeding values involves a so-called training analysis
that predicts the influence of small genomic regions by regression of observed information …

Genomic evaluation models can fit additive and dominant SNP effects. Under quantitative
genetics theory, additive or “breeding” values of individuals are generated by substitution …

12.1 THE RANDOM EFFECTS ONE-WAY MODEL 273 12.2 HYPOTHESIS TEST 274 12.3
PREDICTION OF GROUP MEANS 275 12.4 VARIANCE COMPONENT ESTIMATION 275 …

Dogs perform a variety of integral roles in our society, engaging in work ranging from
assistance (eg service dogs, guide dogs) and therapy to detection (eg search and rescue …

Genomic selection (GS) involves selection decisions based on genomic breeding values
estimated as the sum of the effects of genome-wide markers capturing most quantitative trait …