Abstract:
In plant growth-based research, significant differences are usually examined with the end result of plant growth parameters, for example, cumulative growth, total leaf area, stem diameter and root length. Under the conditions that the assumptions on parameters are met and when the experiment deals with one or two fixed factors, the analysis of variance (ANOVA) technique is commonly used to check the level of significance. However, if retrospective changes of plant growth parameters are well monitored and examined with a robust statistical test that would pave a new trajectory to reveal novel patterns in plant behavior.
