Table 1. Results of the statistical analysis of hormonal variables and qPCR shown in Fig. 1, 2, 3. The analysis is based on Generalized Linear Models with breed, treatment, and sex in the model.

Hormone /Transcript	Breed	Treatment	Sex	Breed x Treatment
Baseline CORT	ns	na	χ2 = 4.1 P < 0.05	ns
10 min CORT	χ2 = 5.2 P < 0.05	na	ns	ns
PREG	χ2 = 61.1 P < 0.001	na	ns	ns
DHEA	χ2 = 38.3 P < 0.001	na	ns	ns
MC2R	ns	ns	ns	ns
STAR	χ2 = 14 P < 0.01	ns	ns	ns
POMC	ns	χ2 = 31.9 P < 0.001	ns	ns
CH25	χ2 = 13.3 P < 0.01	χ2 = 14 P < 0.01	ns	ns
FDX1	ns	ns	ns	ns
CYP17A1	ns	ns	χ2 = 11.5 P < 0.01	ns
CYP19A1	ns	ns	χ2 = 11.7 P < 0.01	ns
CYP21A2	χ2 = 17.5 P < 0.001	ns	ns	ns
HSD3B2	ns	ns	ns	ns
HSD11B1	ns	ns	ns	ns

χ²and bonferroni corrected P values are given for breed, treatment, sex and breed x treatment interaction. PREG = pregnenolone, DHEA = dehydroepiandrosterone, CORT = corticosterone. Significant data (P < 0.05), ns = not significant.