only marginally significantp = .05
The best (but not significant) models with multiple traits based on AIC were a model containing shape PC axes 4–6, in which PC4 and PC6 had only marginally significant effects ( p = .05 and p = .06 before FDR correction), and a model containing EyL, LJL, and ML, in which ML (a nontransgressive trait) had an only marginally significant effect ( p = .08 before FDR correction) (see Table S3 ).