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 ).