I am doing an in situ morphological characterization on a fruit tree crop and I am not able to grow the wild types (accessions) due to logistical challenges involving propagation, space and financing-mostly propagation. To finish my graduate study in time, I have therefore, resorted to conduct my research in situ and compare with the cultivated varieties in our possession. My question is, since I will be looking at different locations, is it possible to still conduct G x E or will I be limited to analyze my data on frequencies only?How will I analyze quantitative morphological data
Is each genotype present in each location? Is each genotype replicated within each location? If not, then you probably won't be able to get very good estimates of G x E.
I don't understand your use of "frequencies only" in your question.
What is your experimental design?
You should be able to run incomplete G x E based off of multiple years or locations and multiple individuals. However, like Jack Haggard said above, it won't be good estimates because of your missing data.
Jack, I am obliged to use an incomplete block design because of the differential number of accessions in each location. Therefore, each genotype is not replicated within each locations. Some have one, others six. When I say frequency I will apportion traits per accession per location and establish the freq of the trait in different areas. I will do this by doing PCA.
Thank you James. After learning the propagation techniques well-experiments have already been set up using varied conditions, hormones and media, I plan to do a more comprehensive expt by standardizing the planting dates, management practices and replicating each genotype across experimental locations. As at now, it is as explained above.
In general and to have a good estimate of GxE, you need replicates. You can do use accessions that have two or more reps and compare same accessions in different locations.
You can still analyzed for G x E as long your experiments is evaluated at more than Five locations. Also, if you are able to replicates it it will gives you good and reliable results that you can base your findings on.
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