Sir,
Which design is used to conduct experimental trials on Cauliflower ? I want to know the effect of plant growth regulator NAA (three levels 0, 100 ppm, 200 ppm) and four bio-fertilizer on growth and yield of Cauliflower. So, pl. which designs should I used ?
Dear Bhim
You have two factors, so the good choice is a factorial experiment conducted with Completely Randomized Design ( CRD ) . The source of variance of ANOVA will consist of : NAA ( main effect ) , Bio-fertilizer ( main effect ) ,the interaction between NAA ×Bio-fertilizer and experimental error.
Good Luck
Dear Bhim,
I totally agree with the above answers. I think though that you should also consider a split-plot design which is more convenient for field management during the experiment (e.g. main plots could be the plant growth regulators and split plots the biofertilizers or vice versa depending on which factor has the higher effect, according to the literature).
This design is very helpful, especially if you are going to apply each treatment more than once (different growth stages), which could be the case for the biofertilizers (base dressing and foliar application etc.).
In any case you have a factorial experiment with two factors.
Dr.Bhim Singh
The best suited design for your trial will be Split Plot Design
Dear Bhim,
I think you can draw the following paper:
https://www.jmp.com/content/dam/jmp/documents/en/white-papers/split-plot-designs-what-why-and-how.pdf
The split-plot design presented in the second page of the paper seems to be adapted to your problem. As you have 3 levels for the concentration of NAA, you'll can calculate a quadratic effect for this factor and test it's significance.
Of course, it is very important to have several plants by plot.
Hope this can help you,
Pierre Chagnon
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