Genomic selection models for directional dominance: an example for litter size in pigs

Table 1 Posterior mean (and posterior standard deviation) estimates for variance components, asymmetry parameters, inbreeding depression, ratios of additive and dominance variation and criteria for model comparison for line 1

\(b\) is the covariate with individual homozygosity, \(\sigma_{a}^{2}\) and \(\sigma_{d}^{2}\) are the variance of the additive and dominance SNP effects, \(\sigma_{r}^{2}\) is the variance of the permanent environmental effects, \(\sigma_{c}^{2}\) is the variance of the farm-year-month effects, \(\lambda_{d}\) is the asymmetry parameters for the dominance effects, \(\sigma_{e}^{2}\) is the residual variance, \({\text{I}}_{\text{D}}\) is the inbreeding depression per percentage of inbreeding, \({\text{V}}_{\text{A}}\) and \({\text{V}}_{\text{D}}\) are the additive and dominance variance, \({\text{h}}^{2}\) and \({\text{d}}^{2}\) are the heritability and the ratio of dominance variance, LogCPO is the logarithm of the conditional predictive ordinate and DIC is the deviance information criterion

ISSN: 1297-9686