Table 4. Variance components and heritability estimates from five models for backfat thickness and carcass weight traits
Model | Variance components | Heritabilities |
Backfat thickness (mm) | Carcass weight (kg) | Backfat thickness (mm) | Carcass weight (kg) |
1 (NULL) | Vg | 13.5 ± 1.3 | 31.4 ± 3.6 | 0.44 ± 0.03 | 0.31 ± 0.03 |
Ve | 17.1 ± 0.8 | 69.2 ± 2.7 |
2 (PC_F) | Vg | 12.1 ± 1.3 | 24.9 ± 3.7 | 0.41 ± 0.03 | 0.26 ± 0.03 |
Ve | 17.5 ± 0.8 | 71.3 ± 2.8 |
3 (GBC_F) | Vg | 13.7 ± 1.3 | 26.0 ± 3.4 | 0.44 ± 0.03 | 0.27 ± 0.03 |
Ve | 17.1 ± 0.8 | 70.6 ± 2.7 |
4 (PC_R) | Vg | 13.2 ± 1.3 | 28.1 ± 3.6 | 0.41 ± 0.04 | 0.23 ± 0.04 |
Vpc | 1.6 ± 1.7 | 23.7 ± 15.1 | 0.05 ± 0.05 | 0.19 ± 0.1 |
Ve | 17.2 ± 0.8 | 69.9 ± 2.7 |
5 (GBC_R) | Vg | 13.5 ± 1.3 | 27.1 ± 3.5 | 0.44 ± 0.03 | 0.23 ± 0.04 |
Vgbc | 0.2 ± 0.3 | 22.3 ± 14.3 | 0 | 0.19 ± 0.1 |
Ve | 17.1 ± 0.8 | 70.2 ± 2.8 |
Variance components are the genetic additive variance (Vg) and the error variance (Ve). In addition, the Model 4 (PC_R) and the Model 5 (GBC_R) estimates additional genetic variance components (Vpc and Vgbc).
PC, principal components; GBC, genomic breed composition.