Statistical model and testing designs to increase response to selection with constrained inbreeding in genomic breeding programs for pigs affected by social genetic effects

Table 4 Accuracies and bias of predicted genetic effects (mean over 100 replicates) when group members were composed at random versus composed of four families per group

Fam_T and Fam_E are the scenarios using family (Fam_) group composition and true (T) or estimated (E) variance components for prediction, respectively. Ran_T and Ran_E are the scenarios using random (Ran_) group composition and T or E variance components, respectively
These two designs were compared under three breeding schemes: SGM_DGE used a social genetic model (SGM) with selection criteria based on direct genetic values (DGE); SGM_TBV used a SGM with selection criteria based on total breeding values (TBV); and CGM_DGE used the classical genetic model (CGM) with selection criteria based on DGE. Breeding schemes used either pedigree- (\({\mathbf{A}}\)) or genomic-based (\({\mathbf{G}}\)) relationships to predict genetic effects. The trait was simulated with an SGE variance of 0.01 and a correlation between SGE and DGE of 0.
Accuracy of SGE and bias of SGE are not available (n/a) for model CGM.

ISSN: 1297-9686