Statistical analysis in agricultur and agronomy

Hello all members,
I need your guidance about the analysis, as you are good at statistics.
I explain my experimental design.
Actually I inoculated 3 microorganisms (ASS-ASL and ASY using different concentrations i.e. 50-75 and 100ul/L). I wanted to check if these organisms at different concentrations affect the growth of wheat seedlings. I had 4 replicates for each treatment and 4 CK control for each treatment (No inoculation of microgranisms). As I am not clear, I can send you my raw data. I checked if different dosages of microbes promote or demote the biomass of wheat seedlings including (SHOOT LENGTH , ROOT LENGTH, FRESH WEIGHT, DRY WEIGHT SHOOT FRESH ROOT WEIGHT, ROOT DRY WEIGHT). I also think that variables may be correlated. Please note that each of the experiment is independent. Why I say variables correlated? The reason is below ground parameters may be related to above ground parameters (Shoot length, fresh weight, dry weight).
According to my understanding I want to do ANOVA and pot pretty graphs (2-3). Which test I should apply? one way Anova, two way anova or Manvoa. I also attach my data. Time is really out for me. I will highly appreciate the help. If some one is willing to help in detail, I can consider him/her to put in author list, as I am preparing manuscript.
Could you please help me in this matter?
Best wishes,



Active Member
You do not use ANOVA here because the tested levels of the three predictors (ASS. ASL and ASY) are scale variables. The numbers actually have a meaning. They are not just labels for separate categories. E.g. the concentration of 50 is exactly half of the concentration of 100.

Use the three concentrations and, possibly, their non-linear transformations as predictors in a linear model. In this model, the dependent variable is Growth or some non-linear transformation of it. You can decide on the optimal non-linear transformations, or the lack of such, based on the goodness of fit of the estimated models.