Background Reliabilities of best linear unbiased predictions (BLUP) of breeding values are
defined as the squared correlation between true and estimated breeding values and are …

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

Background Genomic prediction requires estimation of variances of effects of single
nucleotide polymorphisms (SNPs), which is computationally demanding, and uses these …

Bayesian (via Gibbs sampling) and empirical BLUP (EBLUP) estimation of fixed effects and
breeding values were compared by simulation. Combinations of two simulation models (with …

Approximate multistep methods to calculate reliabilities for estimated breeding values in
large genetic evaluations were developed for single-trait (ST-R 2 A) and multitrait (MT-R 2 A) …

Abstract Model‐based accuracy, defined as the theoretical correlation between true and
estimated breeding value, can be obtained for each individual as a function of its prediction …

Background Cross-validation tools are used increasingly to validate and compare genetic
evaluation methods but analytical properties of cross-validation methods are rarely …

Background The theory of genomic selection is based on the prediction of the effects of
genetic markers in linkage disequilibrium with quantitative trait loci. However, genomic …

Calculation of individual animal reliability of estimated genomic breeding value by SNP-
BLUP requires inversion of the mixed model equations (MME). When the SNP-BLUP model …

The objective was to compare methods of modeling missing pedigree in single-step
genomic BLUP (ssGBLUP). Options for modeling missing pedigree included ignoring the …