Table A3. Results of the discriminant analysis of principal components (DAPC, Jombart et al. 2010) implemented in the Adegenet package (Jombart et al. 2008) to determine the most likely number of genetic clusters (K) within the piscivorous Lake Trout form Great Bear Lake. The number of groups was identified using the find.clusters function (a sequential K-means clustering algorithm) and subsequent Bayesian Information Criterion (BIC), as suggested by Jombart et al. (2010). Stratified cross-validation carried out with the function xvalDapc was employed to determine the optimal number of PCs to retain in the analysis.