Salt stress response indices (SSRI) were calculated initially through salt stress response index (ISSRI) for each treatment as the value of a parameter for treatment (Pt) and the value of the same parameter (Pc) at optimum condition (control) (Eq. 1 ) Then cumulative salt stress response indices (CMSSRI) were calculated by adding all the individual ISSRI for all the 16 measured parameters (Eq. 2 )14 (link)
Means, standard deviations (SD) and standard error (SE) were calculated on Excel. ANOVA followed by Fisher’s protected least significant difference test (P ≤ 0.05) was used for all parameters to determine the significant effects (P < 0.05) of salinity and SA using the SATISTIX 8.1. The standard errors were presented in the figures as error bars. Principal component analysis (PCA) was performed on the correlation matrix of 20 treatments and response variables including all 16 growth and physiological attributes. SAS statistical software package version 9.3 was used to perform Principal components analysis (PCA)49 . Additionally, values were also used during PCA analysis to classify salt-irrigated provided with foliar application of SA.
Means, standard deviations (SD) and standard error (SE) were calculated on Excel. ANOVA followed by Fisher’s protected least significant difference test (P ≤ 0.05) was used for all parameters to determine the significant effects (P < 0.05) of salinity and SA using the SATISTIX 8.1. The standard errors were presented in the figures as error bars. Principal component analysis (PCA) was performed on the correlation matrix of 20 treatments and response variables including all 16 growth and physiological attributes. SAS statistical software package version 9.3 was used to perform Principal components analysis (PCA)49 . Additionally, values were also used during PCA analysis to classify salt-irrigated provided with foliar application of SA.
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