Statistical analyses
Results are expressed as the mean ± se of n replicates used per
treatment. The normality of the distribution and homogeneity of
variances were previously tested (Shapiro-Wilk, Bartlett and Levene
tests respectively). Two-Way ANOVA was performed for temperature (T), S,
and T x S interaction effects on the measured variables, and
classification of temperature modalities (T-modalities) was carried out
by comparing averages (Tukey test). The differences between HS and LS
for a given T-modality were tested with a t-test. These statistical
analyses were performed with XLStat software. To determine the
non-additive effects of temperature events (Figure 1a), we compared the
relative effect of the events-combined sequence (mod1, CES) with the
relative cumulated effects of the successive single-event sequence (SES,
mod2 and mod3) on the measured variables under both S supplies. The
relative effect was calculated as the increase or decrease relative to
the control value. The relative cumulated effect of the successive SESs
was then calculated by multiplying the two single relative effects (mod2
x mod3).