Genomic Best Linear Unbiased Predictor (GBLUP) assumes equal variance for all single
nucleotide polymorphisms (SNP). When traits are influenced by major SNP, Bayesian …

We evaluated the performance of GBLUP including dominance genetic effect (GBLUP-D) by
estimating variances and predicting genetic merits in a computer simulation and 2 actual …

Single-step genomic evaluation became a standard procedure in livestock breeding, and
the main reason is the ability to combine all pedigree, phenotypes, and genotypes available …

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 purpose of this study is review and evaluation of computing methods used in genomic
selection for animal breeding. Commonly used models include SNP BLUP with extensions …

Genomic best linear unbiased prediction (BLUP) is a statistical method that uses
relationships between individuals calculated from single-nucleotide polymorphisms (SNPs) …

Background Much effort is put into identifying causative quantitative trait nucleotides (QTN)
in animal breeding, empowered by the availability of dense single nucleotide polymorphism …

Accuracy of prediction of estimated breeding values based on genome‐wide markers
(GEBV) and selection based on GEBV as compared with traditional Best Linear Unbiased …

Background In 2017, genomic selection was implemented in French dairy goats using the
single-step genomic best linear unbiased prediction (ssGBLUP) method, which assumes …

Implicit assumption of common (co) variance for all loci in multi-trait Genomic Best Linear
Unbiased Prediction (GBLUP) results in a genomic relationship matrix (G) that is common to …