Background The genome-wide association study (GWAS) is a useful approach to identify
genes affecting economically important traits in dairy cattle. Here, we report the results from …

Background The detection of quantitative trait loci has accelerated with recent developments
in genomics. The introduction of genomic selection in combination with sequencing efforts …

Abstract Background In China, the reference population of genotyped Holstein cattle is
relatively small with to date, 80 bulls and 2091 cows genotyped with the Illumina 54 K chip …

Background Compared to national evaluations, international collaboration projects further
improve accuracies of estimated breeding values (EBV) by building larger reference …

The main aim of this study was to compare accuracies of imputation and genomic
predictions based on single and joint reference populations for Norwegian Red (NRF) and a …

The reliability of genomic prediction is influenced by several factors, including the size of the
reference population, which makes genomic prediction for breeds with a relatively small …

This study investigated genomic predictions across Nordic Holstein and Nordic Red using
various genomic relationship matrices. Different sources of information, such as …

The European and global dairy breeding industry has benefited enormously from
collaboration and sharing of data. The new era of genomics has disrupted the information …

In this study, we compared genetic gain, genetic variation, and the efficiency of converting
variation into gain under different genomic selection scenarios with truncation or optimum …

This paper evaluates the potential of maximizing genetic gain in dairy cattle breeding by
optimizing investment into phenotyping and genotyping. Conventional breeding focuses on …