Table 7.
Estimated parameters for linear regression between excretions of urinary creatinine or purine derivatives as a function of DMI, OM intake, BW, cold carcass weight (CCW), and muscle weight
| Linear regression | Full model | Restricted model | ||||||
|---|---|---|---|---|---|---|---|---|
| Goat, mmol/kg | Sheep, mmol/kg | Goat and sheep, mmol/kg | ||||||
| Intercept | Slope | Intercept | Slope | P value1 | Intercep2 | Slope2 | r 2 | |
| Purine derivatives as a function of: | ||||||||
| DMI (g/kg BW) | – | 0.0078 ± 0.0073 | – | 0.0095 ± 0.0095 | P = 0.82 | – | 0.0089 ± 0.0005 | 0.94 |
| OMI (g/kg BW) | – | 0.011 ± 0.0010 | – | 0.013 ± 0.0014 | P = 0.08 | – | 0.013 ± 0.0007 | 0.08 |
| BW (kg) | 6.94 ± 5.26 | – | 12.56 ± 6.67 | – | P = 0.41 | 7.33 ± 4.18 | – | 0.50 |
| CCW (kg) | 7.38 ± 4.70 | – | 13.45 ± 5.80 | – | P = 0.31 | 9.36 ± 3. 65 | – | 0.08 |
| Weight muscle (kg) | 6.58 ± 4.79 | – | 12.84 ± 6.13 | – | P = 0.32 | 10.67 ± 3.99 | – | 0.10 |
| Creatinine as a function of: | ||||||||
| DMI (g/kg BW) | 18.03 ± 3.00 | – | 21.11 ± 3.99 | – | P = 0.45 | 17.05 ± 1.66 | – | 0.32 |
| OMI (g/kg BW) | 17.35 ± 3.11 | – | 21.19 ± 4.25 | – | P = 0.37 | 16.65 ± 1.74 | – | 0.33 |
| BW (kg) | – | 19.11 ± 1.70 | – | 20.45 ± 1.96 | P = 0.18 | – | 19.82 ± 1.49 | 0.98 |
| CCW (kg) | – | 43.27 ± 1.86 | – | 47.06 ± 2.58 | P = 0.16 | – | 45.247 ± 1.32 | 0.98 |
| Weight muscle (kg) | – | 71.75 ± 2.78 | – | 85.25 ± 4.03 | P < 0.01 | – | – | 0.98 |
1 P value obtained by binary comparison of the fit of a single or double linear regression model.
2Significant parameters (P < 0.05) were maintained in the adjusted equations, where a = intercept ± SE and b = slope ± SE. In the case of nonsignificant parameters, the symbol (–) was used.