Accuracies of genomically estimated breeding values from pure-breed and across-breed predictions in Australian beef cattle

To achieve these objectives, we used a crossbred popu- lation of commercial steers and heifers from the National Cattleman’s Beef Association sponsored Carcass Merit Project (CMP)

Analyses were carried out fitting sets of random regression coefficients due to animals’ direct and maternal, additive genetic and permanent environmental effects, with changes

Vx values in the Wyoming herd are higher than those of the Kinsella herds, probably due to differences in culling policy and replacement heifer management as

Although there is a low number of herds considered at the top of the structure, the estimates of the effective number of herds supplying sires, grand sires and

Empirical and deterministic accuracies of genomic prediction (± standard error) with a heritability of 0.95 using equal allele substitution effects of the QTL underlying the

Genomic predictions accuracy and bias for the Jersey validation population using different combinations of reference datasets (bulls or bulls and cows), method of prediction (GBLUP

wide association analysis (GWAS) using data from multi‑breed and crossbred beef cattle to identify single nucleotide polymorphisms (SNPs) with significant dominance effects

Genomic selection with two steps approach (using DYD): GEBV accuracy of candidates < parent average accuracy (Carillier et al 2013).  Find a more