The impact of extent of genetic relatedness on accuracy of genome-enabled predictions was
assessed using a dairy cattle population and alternative cross-validation (CV) strategies …

This study compared the accuracy of genome-enabled prediction models using individual
single nucleotide polymorphisms (SNP) or haplotype blocks as covariates when using either …

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 …

Genome-wide prediction of complex traits has become increasingly important in animal and
plant breeding, and is receiving increasing attention in human genetics. Most common …

Predicting the accuracy of estimated genomic values using genome-wide marker
information is an important step in designing training populations. Currently, different …

Since the introduction of genome-enabled prediction for dairy cattle in 2009, genomic
selection has markedly changed many aspects of the dairy genetics industry and enhanced …

This study assessed the accuracy and bias of genomic prediction (GP) in purebred Holstein
(H) and Jersey (J) as well as crossbred (H and J) validation cows using different reference …

Prediction of genomic breeding values is of major practical relevance in dairy cattle
breeding. Deterministic equations have been suggested to predict the accuracy of genomic …

Genomic evaluations are useful for crossbred as well as purebred populations when
selection is applied to commercial herds. Dairy farmers had already spent more than $1 …

Background Whole-genome sequence data is expected to capture genetic variation more
completely than common genotyping panels. Our objective was to compare the proportion of …