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Table 1 Factors investigated

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

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
  1. 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