Table 2. The top three estimated traits that can predict measured traits according to the stepwise regression analysis
Step | Traits (Y =) | Abattoir | Sex | Season | Backfat thickness (X11)) | Loin weight (X21)) | Total bone weight (X31)) | Shoulder weight (X12)) | Loin weight (X22)) | Front weight (X32)) | Intercept | Standard error | R2 |
1 | Backfat thickness | −0.034 | 0.250 | 0.289 | 0.911 | – | – | – | – | – | 0.923 | 0.014 | 0.833 |
2 | 0.028 | 0.283 | 0.218 | 0.859 | 0.408 | – | – | – | – | −1.953 | 0.022 | 0.837 |
3 | 0.033 | 0.276 | 0.223 | 0.781 | 0.829 | −0.970 | – | – | – | 1.298 | 0.033 | 0.840 |
1 | Carcass weight | −0.111 | −0.025 | −0.350 | – | – | – | 6.447 | – | – | 14.185 | 0.027 | 0.899 |
2 | 0.105 | −0.236 | 0.102 | – | – | – | 4.166 | 3.029 | – | 10.181 | 0.016 | 0.967 |
3 | −0.088 | −0.156 | 0.090 | – | – | – | 2.419 | 2.759 | 1.003 | 6.185 | 0.013 | 0.980 |
Partial regression coefficients for backfat thisckness.
Partial regression coefficients for carcass weight.