The H-matrix best linear unbiased prediction (HBLUP) method has been widely used in
livestock breeding programs. It can integrate all information, including pedigree, genotypes …

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 exact accuracy of estimated breeding values can be calculated based on the prediction
error variances obtained from the diagonal of the inverse of the left-hand side (LHS) of the …

Objective Genomic selection (GS) is becoming popular in animals' genetic development.
We, therefore, investigated the single-step genomic best linear unbiased prediction …

Performing joint genomic predictions for multiple breeds (MBGP) to expand the reference
size is a promising strategy for improving the prediction for limited population sizes or …

Abstract Background Genomic predictions from BayesA and BayesB use training data that
include animals with both phenotypes and genotypes. Single-step methodologies allow …

Numerous studies have shown that combining populations from similar or closely related
genetic breeds improves the accuracy of genomic predictions (GP). Extensive …

Combining purebreed and crossbreed information is beneficial for genetic evaluation of
some livestock species. Genetic evaluations can use relationships based on genomic …

Background Single-step genomic best linear unbiased prediction (ssGBLUP) models allow
the combination of genomic, pedigree, and phenotypic data into a single model, which is …

Single-step genomic best linear unbiased predictor (ssGBLUP) is a methodology for
estimating breeding values jointly for genotyped and non-genotyped animals. Since its …