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.