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| Trait | Model | \({\text{Additive}}\) | \({\text{Epistatic}}\) | \({\text{Maternal}}\) | \({\text{Residual}}\) | \({\text{Phenotypic}}\) | \(h^{2}\) | \(H^{2}\) | \(m^{2}\) | \({\mathbf{e}}_{{{\mathbf{aa}}}}^{2}\) |
|---|
| NOIA |
| BD | AME | 0.086 (0.024) | 0.080 (0.049) | 0.047 (0.032) | 0.328 (0.044) | 0.541 (0.039) | 0.158 (0.042) | 0.307 (0.090) | 0.087 (0.055) | 0.148 (0.091) |
| B WH | AME | 699 (268) | 1183 (680) | 635 (418) | 4540 (618) | 7059 (498) | 0.099 (0.037) | 0.266 (0.093) | 0.090 (0.054) | 0.167 (0.096) |
| BL | AM | 0.284 (0.107) | | 0.257 (0.162) | 2.803 (0.136) | 3.345 (0.209) | 0.085 (0.031) | | 0.076 (0.045) | |
| FW | AM | 118 (42) | | 99 (63) | 1009 (50) | 1227 (79) | 0.096 (0.033) | | 0.080 (0.047) | |
| BT | A | 1.695 (0.441) | | | 8.015 (0.411) | 9.710 (0.458) | 0.174 (0.041) | | | |
| FY | A | 1.758 (0.406) | | | 7.461 (0.378) | 9.220 (0.435) | 0.190 (0.039) | | | |
| HWE |
| BD | AME | 0.097 (0.027) | 0.102 (0.063) | 0.047 (0.032) | 0.326 (0.045) | 0.573 (0.042) | 0.169 (0.046) | 0.348 (0.1) | 0.082 (0.053) | 0.178 (0.106) |
| BWH | AME | 791 (303) | 1504 (864) | 635 (418) | 4520 (626) | 7450 (544) | 0.106 (0.04) | 0.308 (0.104) | 0.085 (0.051) | 0.201 (0.111) |
| BL | AM | 0.321 (0.120) | | 0.257 (0.162) | 2.801 (0.136) | 3.380 (0.213) | 0.095 (0.034) | | 0.076 (0.044) | |
| FW | AM | 133 (47) | | 99 (63) | 1009 (50) | 1241 (81) | 0.107 (0.036) | | 0.079 (0.047) | |
| BT | A | 1.915 (0.498) | | | 8.004 (0.413) | 9.92 (0.492) | 0.193 (0.044) | | | |
| FY | A | 1.987 (0.459) | | | 7.450 (0.379) | 9.437 (0.467) | 0.210 (0.042) | | | |
- Standard errors are in parentheses
- The estimated ratios are: narrow sense heritability \(h^{2}\), broad heritability \(H^{2}\), maternal ratio \(m^{2}\), and epistatic ratio \({\mathbf{e}}_{{{\mathbf{aa}}}}^{2}\)
- A model represents the basic animal model, which is gradually expanded to an AME (model with additive (A), maternal (M) and first order additive-by-additive epistatic interactions (E) effects) by adding each effect as random effects
- NOIA and HWE are the two approaches used to calculate the different variance components (see “Methods” for details)
- The six traits are: BD body depth, BWH body weight at harvest, BL body length, FW fillet weight, BT body thickness, FY fillet yield
