Statistical analysis
Assumptions of parametric statistics were tested to verify normality and homogeneity of variance using the Shapiro-Wilk normality test and Levene’s test before further analysis. Analysis of variance were used to determine the single effects of water, nitrogen and type of culture (categorical variables) and their interactions, on each functional trait (P≤ 0.05). Differences in the value of dependent variables among treatment groups were determined with analysis of variance followed by the Tukey test for multiple comparison. To visualize the correlation between traits trends and plant performance Between monoculture of both species and each treatment. We have drawn a heat map of the trait’s mechanisms with the help of Pearson Correlation between species under each treatment with reference (Hodgins et al., 2015) and (Shaar-Moshe et al., 2017) to check the correlation between treatments and functional traits. If the pattern for a treatment and plant performance pattern were parallel to each other, then there is positive correlation between change in treatment and plant performance. If the pattern for a treatment and plant performance pattern were opposite to each other then there is negative correlation between change in treatment and plant performance. All analysis was conducted in SPSS:22 and graphs were made in the software Origin Pro9.