Performance of pedigree- and genome-based coancestries on selection programmes

Summary - A very simple breeding scheme for milk yield was generated by a Monte- Carlo method in order to evaluate the potential impact of bovine somatotropin (BST)

These genomic regions harbored several candidate genes (full gene names of all gene sym- bols are in Table S2 [See Additional file: 1 Table S2]) in- cluding SPATA6 and FAAH in

As shown in Tables I and II, phenotypic and BLUP selection did not cause bias on predicted breeding values from Bayesian and EBLUP analyses when pedigree information was complete,

Accuracy of genomic predictions of breeding values was evaluated by using a 5-fold cross-validation scheme and considering three models: Bayesian ridge regression (BRR), Bayes C

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Previous works showed that genomic selection led to an increase in annual genetic gain in major French dairy cattle breeds but, in some cases, the increase in genetic

Extending the reference set by adding a large number of cows with genotypes and phenotypes increases the reli- ability of breeding values of young selection candidates and

Reliabilities of genomic estimated breeding values for crossbred performance with (W/) and without (W/O) availability of genotyping data, based on an across-breed SNP genotype