Genomic Selection 2.0

Genomic selection has high economic value in breeding programs and this value will result in large data sets of genotyped and phenotyped individuals being generated. With appropriate developments in sequencing methods and strategies, and bioinformatics and imputation technologies these large data sets could be sequenced. That may enable larger proportions of the genetic variance to be finely mapped to causal variants. Finely mapping many causal variants will open up several new opportunities for breeding animals such as use of inflated recombination rates, genome editing, accurate estimation of breeding values in crosses, and capitalization of de-novo mutations. This research uses simulation to illustrate how breeding programs may capitalize on these opportunities.