The research design in this study used a completely randomized design (CRD) with four variations of chitosan concentrations: 0, 12.5, 25, and 50 ppm, along with 12 replications (for cultivation data) or 3 replications (for HPLC data). ANOVA (Analysis of Variance) One-Way test was conducted to determine the presence of differences among the data groups. If differences were found, ANOVA was followed by Tukey's test (at a significance level of 0.05) to assess the significance of the effects of chitosan concentration on variables such as root weight increase, shoot weight increase, growth rate, root-to-shoot ratio, b-sitosterol content in the roots, and b-sitosterol productivity from the roots. All statistical analyses in this research were conducted using Minitab 19 software.
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Optimizing Chitosan Effects on Plant Growth
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Corresponding Organization : Bandung Institute of Technology
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Variable analysis
independent variables
- Chitosan concentration (0, 12.5, 25, and 50 ppm)
- Root weight increase
- Shoot weight increase
- Growth rate
- Root-to-shoot ratio
- β-sitosterol content in the roots
- β-sitosterol productivity from the roots
- Cultivation data with 12 replications
- HPLC data with 3 replications
- No positive or negative controls were explicitly mentioned in the input.
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