Table 1.
df | SS | MS | Pseudo- F | R 2 | P | |
---|---|---|---|---|---|---|
Subpopulation | 2 | 972 | 485.99 | 1.22 | 0.02 | 0.049* |
Sex | 1 | 1326 | 1325.95 | 3.32 | 0.03 | 0.001*** |
Age | 2 | 2497 | 1248.26 | 3.12 | 0.05 | 0.001*** |
Subpopulation × Sex | 2 | 1093 | 546.3 | 1.37 | 0.02 | 0.017* |
Subpopulation × Age | 4 | 1732 | 433.07 | 1.08 | 0.04 | 0.244 |
Sex × Age | 2 | 1188 | 593.79 | 1.49 | 0.02 | 0.018* |
Subpopulation × Sex × Age | 2 | 770 | 385.21 | 0.96 | 0.02 | 0.57 |
Residuals | 99 | 39557 | 399.56 | 0.81 | ||
Total | 114 | 49134 | 1 |
df = degrees of freedom, SS = sum of squares, MS = mean squares. Bold font indicates statistical significance (p < 0.05) for both odour and genetic analyses. *p < 0.05, **p < 0.01, ***p < 0.001. Modelled on three of the four regions, with SW subpopulation excluded because data deficiency for males precluded the interaction term. Female reproductive status was included in a female only data model, the genetic region: reproductive status interaction was not significant so the results are not presented.