Evaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection

The Fisher’s infinitesimal model is traditionally used in quantitative genetics and genomic selection, it attributes most genetic variance to additive variance. Recently, the dominance maximization was proposed prioritizes based on alternative parameterizations. In this model, effects at locus level are introduced into after maximized. study, new parameterizations of selection were evaluated compared with applied using best linear unbiased prediction method. As parametric relative magnitude vary allelic frequencies populations, we considered different minor allele compare magnitudes. We also two indices that combine variances estimated by both models. along indices, offers alternatives improve estimates their respective proportions can be successfully evaluation.