Fig. 1

Outputs of the PCA followed by the hierarchical clustering on principal components (HCPC). The analyses were assessed on 24 female Beagle dogs aged 24 months. Groups were described as ideal weight (IW, n = 9), slightly overweight (OW1, n = 6) and overweight (OW2, n = 9). a: Factor map of principal and supplementary variables. The principal variables (solid lines) are fat-free mass (FFM, kg), fat mass proportion (FM%,) and pelvic circumference (PC, cm). Supplementary variables (dotted lines) are fathers’ body weight (BWfa, kg), mothers’ body weight at mating (BWmo, kg,), mothers’ age at mating (AGEmo), previous litters (PL), gestational weight gain (GWG) and litter size (LS). b: Confidence ellipses (95% confidence level) around the groups identified by HCPC