Background Genomic selection is increasingly widely practised, particularly in dairy cattle.
However, the accuracy of current predictions using GBLUP (genomic best linear unbiased …

Background Whole-genome sequence (WGS) data are increasingly available on large
numbers of individuals in animal and plant breeding and in human genetics through second …

Background Although simulation studies show that combining multiple breeds in one
reference population increases accuracy of genomic prediction, this is not always confirmed …

Background Dense SNP genotypes are often combined with complex trait phenotypes to
map causal variants, study genetic architecture and provide genomic predictions for …

Background Genomic prediction and quantitative trait loci (QTL) mapping typically analyze
one trait at a time but this may ignore the possibility that one polymorphism affects multiple …

Background Currently, genomic prediction in cattle is largely based on panels of about 54k
single nucleotide polymorphisms (SNPs). However with the decreasing costs of and current …

Background Many studies have found segregating quantitative trait loci (QTL) for milk
production traits in different dairy cattle populations. However, even for relatively large …

Background Two key findings from genomic selection experiments are 1) the reference
population used must be very large to subsequently predict accurate genomic estimated …

Genomic prediction is widely used to select candidates for breeding. Size and composition
of the reference population are important factors influencing prediction accuracy. In Holstein …

Genomic selection is implemented in French Holstein, Montbéliarde, and Normande breeds
(70%, 16% and 12% of French dairy cows). A characteristic of the model for genomic …