Table 3.
Summary of statistical modeling outputs for aphid performance parameters using the Genotype subDataset. For each performance parameter, the treatment factor, model basis, error distribution or statistical method applied, analysis method, and the statistical outputs are shown. Type II Wald χ 2 analysis of deviance and observation of fitted‐residual plots was conducted throughout the modeling simplification process to ensure data fitted the model parameters and that model simplification was justified
| Response variable | Treatment factor | Model basis | Error distributionor statisticalmethod | Model analysis | Test statistic | Degrees of freedom (Residuals) | P value |
|---|---|---|---|---|---|---|---|
| Nymph mass gain | Genotype | Linear mixed effects model | Maximum Likelihood (ML) | Type III analysis of variance with satterthwaite approximation for degrees of freedom (Type III ANOVA) | F = 4.48 | 2 (131) | 0.013 |
| Plant | F = 6.49 | 1 (130) | 0.012 | ||||
| Genotype × Plant | F = 1.01 | 2 (131) | 0.366 | ||||
| Prereproductive Period | Genotype | Linear mixed effects model | ML | Type III ANOVA | F = 0.24 | 2 (109) | 0.784 |
| Plant | F = 1.61 | 1 (94) | 0.208 | ||||
| Genotype × Plant | F = 0.15 | 1 (150) | 0.861 | ||||
| rm | Genotype | Linear mixed effects model | ML | Type III ANOVA | F = 0.92 | 2 (104) | 0.454 |
| Plant | F = 11.94 | 1 (104) | < 0.001 | ||||
| Genotype × Plant | F = 0.78 | 2 (103) | 0.462 | ||||
| Aphid survival | Genotype | Cox proportional hazards regression | N/A | Type II Wald χ 2 analysis of deviance (χ 2 Test) | χ 2 = 0.86 | 2 | 0.649 |
| Plant | χ 2 = 0.92 | 1 | 0.919 |