BrdU and fusion index data were analyzed by mixed model variance analysis, using treatment (P311 and GFP control) as fixed effects with experiments and replicate as random effects.
On all traits, σ2P and σ2G were derived by variance components analysis using separated univariate analyses for each viral isolate (plant heritabilities).
The mean data for each tank were tested by variance analysis (means compared using the least-squares means procedure) (SAS software, version 9.1, SAS Institute, Inc., Cary, NC, USA).
Statistical significance of differentially expressed genes was identified by variance analysis (ANOVA) [ 72], performed using GeneSpring, including the Benjamini and Hochberg false discovery rate correction (5%).
The contribution of additive genetic effects to the variation of the analysed traits was estimated by a variance component analysis using the SOLAR program.
The adsorption parameters were analysed statistically by means of variance analysis by using the STATISTICA software.
A model has been obtained among decolorization, COD reduction and relevant parameters by means of variance analysis by using the matlab computer software and obtained model was optimized.
A statistical model for production of zinc borate was developed between the zinc oxide conversion and relevant parameters by means of variance analysis by using the Matlab computer software.
The statistical significance of the obtained data was assessed by one-way ANOVA variance analysis by using the Sigma stat software (SigmaStat 4.0, Systat Software, California) and level of significance was set at p<0.001.
This was followed by joint analysis using an inverse-variance meta-analysis under the assumption of fixed effects.
