2.7. Statistical Analysis

Data from each growth parameters were transformed into log₁₀ to improve the homogeneity of the variance before ANOVA was performed on the transformed data to find out whether there is any difference between groups on specific treatments and the degree of significance of the differences among the variables was determined using mean values considering the standard deviation (n = 3). Anywhere F value is significant; posthoc test was carried by Duncan’s Multiple Range Test [33] at 5% probability. The analysis was carried out using the software Statistical Analysis computer package (SAS) version 9.4 (SAS Institute, Inc., Cary, NC, USA), and the graphs were plotted using GraphPad Prism 7 (https://www.graphpad.com/). Principal component and cluster analysis were performed to compare the means of the treatments with growth parameters evaluated.