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.