Table 6.
ANOVA for response surface regression model.
| Protein | Source | Sum of Squares | df | Mean Square | F Value | p-value Prob > F |
|
|---|---|---|---|---|---|---|---|
| Chicken liver |
Model | 131.195 | 9 | 14.577 | 58.145 | <0.0001 | significant |
| A-pH | 77.072 | 1 | 77.072 | 307.423 | <0.0001 | ||
| B–S/L | 1.044 | 1 | 1.044 | 4.165 | 0.0806 | ||
| C-t | 15.787 | 1 | 15.787 | 62.969 | <0.0001 | ||
| AB | 0.555 | 1 | 0.555 | 2.216 | 0.1802 | ||
| AC | 7.577 | 1 | 7.577 | 30.221 | 0.0009 | ||
| BC | 3.036 | 1 | 3.036 | 12.109 | 0.0103 | ||
| A2 | 18.472 | 1 | 18.472 | 73.679 | <0.0001 | ||
| B2 | 1.964 | 1 | 1.964 | 7.833 | 0.0266 | ||
| C2 | 3.656 | 1 | 3.656 | 14.584 | 0.0066 | ||
| Residual | 1.755 | 7 | 0.251 | ||||
| Lack of Fit | 0.430 | 3 | 0.143 | 0.432 | 0.7416 | not significant | |
| Pure Error | 1.325 | 4 | 0.331 | ||||
| Cor Total | 132.950 | 16 | |||||
| R2 | 0.987 | ||||||
| RAdj2 | 0.970 | ||||||
| RPred2 | 0.933 | ||||||
| Adeq Precision |
24.085 > 4 |
||||||
|
L. edodes |
Model | 1688.862 | 9 | 187.651 | 316.884 | <0.0001 | significant |
| A-T | 61.127 | 1 | 61.127 | 103.225 | <0.0001 | ||
| B-E/S | 17.765 | 1 | 17.765 | 29.999 | 0.0009 | ||
| C-t | 229.194 | 1 | 229.194 | 387.036 | <0.0001 | ||
| AB | 45.596 | 1 | 45.596 | 76.998 | <0.0001 | ||
| AC | 5.632 | 1 | 5.632 | 9.510 | 0.0177 | ||
| BC | 55.158 | 1 | 55.158 | 93.145 | <0.0001 | ||
| A2 | 456.972 | 1 | 456.972 | 771.680 | <0.0001 | ||
| B2 | 65.809 | 1 | 65.809 | 111.131 | <0.0001 | ||
| C2 | 641.875 | 1 | 641.875 | 1083.923 | <0.0001 | ||
| Residual | 4.145 | 7 | 0.592 | ||||
| Lack of Fit | 1.175 | 3 | 0.392 | 0.528 | 0.6868 | not significant | |
| Pure Error | 2.970 | 4 | 0.742 | ||||
| Cor Total | 1693.007 | 16 | |||||
| R2 | 0.998 | ||||||
| RAdj2 | 0.994 | ||||||
| RPred2 | 0.986 | ||||||
| Adeq Precision |
50.313 > 4 |
||||||
| T. molitor | Model | 2018.567 | 14 | 144.183 | 113.041 | <0.0001 | significant |
| A-t | 307.336 | 1 | 307.336 | 240.954 | <0.0001 | ||
| B–S/L | 689.763 | 1 | 689.763 | 540.780 | <0.0001 | ||
| C-pH | 6.875 | 1 | 6.875 | 5.390 | 0.0358 | ||
| D-E/S | 300.661 | 1 | 300.661 | 235.721 | <0.0001 | ||
| AB | 0.009 | 1 | 0.009 | 0.007 | 0.9329 | ||
| AC | 0.070 | 1 | 0.070 | 0.055 | 0.8181 | ||
| AD | 9.413 | 1 | 9.413 | 7.380 | 0.0167 | ||
| BC | 1.331 | 1 | 1.331 | 1.044 | 0.3243 | ||
| BD | 7.368 | 1 | 7.368 | 5.777 | 0.0307 | ||
| CD | 16.128 | 1 | 16.128 | 12.645 | 0.0032 | ||
| A2 | 159.432 | 1 | 159.432 | 124.996 | <0.0001 | ||
| B2 | 390.170 | 1 | 390.170 | 305.896 | <0.0001 | ||
| C2 | 303.886 | 1 | 303.886 | 238.249 | <0.0001 | ||
| D2 | 180.093 | 1 | 180.093 | 141.194 | <0.0001 | ||
| Residual | 17.857 | 14 | 1.275 | ||||
| Lack of Fit | 14.873 | 10 | 1.487 | 1.994 | 0.2642 | not significant | |
| Pure Error | 2.984 | 4 | 0.746 | ||||
| Cor Total | 2036.424 | 28 | |||||
| R2 | 0.991 | ||||||
| RAdj2 | 0.982 | ||||||
| RPred2 | 0.956 | ||||||
| Adeq Precision | 32.967 > 4 |