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Statistical analysis

AA Asmaa Abbas
CW Colin W. Wright
NE Nagwa El-Sawi
TY Tapani Yli-Mattila
AM Anssi M. Malinen
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Statistical analyses were performed using Origin (OriginLab) or SPSS Statistics 28 (IMB Corporation). Plant fraction content (TPC, TFC and antioxidants) and fungal growth and AFB1 production as a function of plant extract concentration data were analyzed using one-way analysis of variance (ANOVA) with post-hoc Tukey’s HSD. The null hypothesis—that observable means in any fraction or extract concentration are equal—was rejected where p < 0.01. Data normality was assumed.

RT-qPCR data were statistically tested in linearized form (i.e., as 2−(Ct, treated − Ct, control) values). The validity of the data normality assumption was confirmed by Shapiro–Wilk test, and the p-values of transcription level changes were calculated using a two-sided t-test. The criterion for statistical significance was set at a p-value < 0.05.

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