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 1 Factors investigated

Factors investigated	Comparing the use of models CGM and SGM	Comparing group composition designs
Breeding scheme	CGM-DGE; SGM-TBV; SGM-DGE	CGM-DGE; SGM-TBV; SGM-DGE
Relationships	\(\mathbf{A}\); \(\mathbf{G}\)	\(\mathbf{A}\); \(\mathbf{G}\)
\({\sigma }_{{u}_{S}}^{2}\)	0.001; 0.01	0.01
\({r}_{{u}_{DS}}\)	− 0.5; 0; 0.5	0
Group composition	Random	Random; four families
Variance components used	Estimated values	Estimated values; true values

CGM is the classical model without social genetic effects (SGE); SGM is the model with SGE; CGM-DGE is the scheme using CGM with predicted direct genetic effects (DGE) as selection criteria; SGM-TBV is the scheme using SGM with predicted total breeding value (TBV) as selection criteria; SGM-DGE is the scheme using SGM with DGE as selection criteria; \(\mathbf{A}\) and \(\mathbf{G}\) are the pedigree- and genomic-based relationship matrix, respectively; \({\sigma }_{{u}_{S}}^{2}\) is the social additive genetic variance; \({r}_{{u}_{DS}}\) is the correlation between DGE and SGE

ISSN: 1297-9686