Skip to main content

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

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

Scheme \({\mathbf{A}}\) \({\mathbf{G}}\)
Fam_T Fam_E Ran_T Ran_E Fam_T Fam_E Ran_T Ran_E
Accuracy of GESC
 SGM_DGE 0.369 0.369 0.358 0.347 0.463 0.459 0.453 0.449
 SGM_TBV 0.495 0.478 0.436 0.430 0.617 0.610 0.566 0.556
 CGM_DGE n/a 0.377 n/a 0.341 n/a 0.463 n/a 0.436
Accuracy of DGE
 SGM_DGE 0.570 0.574 0.586 0.583 0.767 0.763 0.772 0.768
 SGM_TBV 0.611 0.603 0.607 0.604 0.79 0.794 0.789 0.792
 CGM_DGE n/a 0.577 n/a 0.580 n/a 0.765 n/a 0.765
Accuracy of SGE
 SGM_TBV 0.444 0.430 0.366 0.365 0.563 0.549 0.484 0.451
Bias of GESC
 SGM_DGE 1.01 0.99 0.95 0.92 0.97 0.97 0.94 0.94
 SGM_TBV 1.00 1.01 0.97 1.01 0.98 1.00 0.98 0.99
 CGM_DGE n/a 1.02 n/a 0.94 n/a 0.97 n/a 0.93
Bias of DGE
 SGM_DGE 0. 99 0.99 0.99 0.98 0.99 0.99 0.99 0.99
 SGM_TBV 0.99 0.98 0.99 0.99 0.98 1.00 0.99 1.00
 CGM_DGE n/a 1.01 n/a 1.01 n/a 0.98 n/a 1.00
Bias of SGE
 SGM_TBV 1.00 0.97 0.97 1.05 1.00 1.01 0.98 1.07
  1. 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
  2. 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.
  3. Accuracy of SGE and bias of SGE are not available (n/a) for model CGM.