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| Traits | Models | HWE | NOIA |
|---|
| \(\upsigma_{\text{A}}^{2}\) | \(\upsigma_{{{\text{E}}_{{{\mathbf{aa}}}} }}^{2}\) | \(h^{2}\) | \({\mathbf{e}}_{{{\mathbf{aa}}}}^{2}\) | \(\upsigma_{\text{A}}^{2}\) | \(\upsigma_{{{\text{E}}_{{{\mathbf{aa}}}} }}^{2}\) | \(h^{2}\) | \({\mathbf{e}}_{{{\mathbf{aa}}}}^{2}\) |
|---|
| BD | AME | 0.086 (0.024) | 0.080 (0.049) | 0.159 (0.043) | 0.147 (0.091) | 0.086 (0.024) | 0.080 (0.049) | 0.159 (0.043) | 0.147 (0.091) |
| BWH | AME | 698.774 (267.730) | 1169.547 (672.154) | 0.099 (0.037) | 0.167 (0.096) | 698.772 (267.729) | 1169.539 (672.149) | 0.099 (0.037) | 0.167 (0.095) |
| BL | AM | 0.285 (0.107) | | 0.085 (0.031) | | 0.284 (0.107) | | 0.085 (0.031) | |
| FW | AM | 117.948 (41.825548) | | 0.096 (0.0324407) | | 117.948 (41.825) | | 0.096 (0.033) | |
| BT | A | 1.694 (0.441) | | 0.174 (0.041) | | 1.694 (0.441) | | 0.174 (0.041) | |
| FY | A | 1.757 (0.406) | | 0.191 (0.039) | | 1.758 (0.406) | | 0.191 (0.039) | |
- The variances and ratios using the HWE approach were corrected by (mean (leading diagonal) − mean) of the the corresponding relationship matrices as per [9]
- The mean of diagonal and off-diagonal elements in relationship matrices using the NOIA approach resulted ~ 1 and 0, respectively. Hence, scaling was not required for the NOIA approach
- Standard errors are in parentheses
- 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
