Statistical analysis of phenomics and ionomics
Normal distribution of data was confirmed by Levene’s test and
non-normal data were transformed before applying any parametric tests.
Mean-standardized values (1 < value >1) of
elemental contents of root material were used to represent the radar
plots and compare each accession profile. One-way or multivariate ANOVA
was used to test for significant differences (p value < 0.05)
between means of data with respect to physiological parameters, ionome,
fitness and gene expression. To test for correlations between two
variables, a bivariate fit was applied. To perform multiple comparisons
of group means, Tukey’s HSD test was conducted. To perform multiple
comparisons to a control (WT), Dunnett’s test was applied. Statistical
analyses and plots were performed using SAS Software JMP v.16.0 and are
available at Datasets SD2 and SD5.