2.6. Statistical analysis
The experiment was carried out in three replicates. An analysis of variance for a randomized design was performed using the statistical software package Statistica v. 13.3 (StatSoft Inc., Tulsa, OK, USA) (Table S1 in Supplementary Materials). The distribution of the data was checked for normality using the Shapiro-Wilk test. The homogeneity of variance was checked using Levene’s test. The multiple means comparison was conducted using a Duncan test with a P<0.05 level of significance. Pearson’s correlation analysis was used to analyse the correlation between the CHAR-C rate and biochemical parameters and biomass productivity (Table S2). For data where significant values of correlation coefficients (r ) were observed, the results of the linear regression models are presented in graphical form, together with regression equations and coefficients of determination (R2 ).