Genomic prediction for numerically small breeds, using models with pre-selected and differentially weighted markers.
Biaty RaymondAniek C BouwmanYvonne C J WientjesChris SchrootenJeanine Houwing-DuistermaatRoel F VeerkampPublished in: Genetics, selection, evolution : GSE (2018)
With the MBMG model, it is possible to use information from numerically large breeds to improve prediction accuracy of numerically small breeds. The superiority of MBMG is mainly due to its ability to use information on pre-selected markers, explain the remaining genetic variance and weigh information from a different breed by the genetic correlation between breeds.