Spss program ver 19.0

The data during the study period was analyzed by the SPSS program (ver. 19.0) and presented as mean ± SD (standard deviation) for body weight, food consumption, organ weight, hematology, and biochemistry. Leven's test was applied to the homogeneity of variance and one-way ANOVA was performed to evaluate the significant differences between groups. No further analysis was performed without significant differences, but if significant differences were confirmed, the post hoc test was performed according to variance homogeneity (Scheffe test). The significance level was considered at values of p < 0.05.

Data on the numbers of conidia, the growth rate, the percentages of germination rate, and the percentages of dead insect were arc-sine transformed to make all the data set normally distributed, and analysed using a generalized linear model (GLM). The overall analyses were followed by Tukey’s honestly significant difference (HSD) for multiple comparisons. The multiple factor linear regression analyses were conducted to examine the correlation of NSC or CNV with four biological factors (Virulence against T. molitor and B. tabaci, fungal growth and thermotolerance) under an enter-based prediction option and a Durbin–Watson residual analysis. Additionally, simple linear regressions of the individual two factors were conducted using a Pearson correlation. All the analyses were conducted using a SPSS program ver. 19.0 (SPSS, Inc., Chicago, IL, USA) at the 0.05 (α) level of significance.