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Comparison of the taxonomic populations among the 20 treatments was conducted to determine how populations, structure and diversity responded to the different temperature and mineral compositions.
We decided to use membership probabilities obtained from STRUCTURE in the association mapping model to correct for populations structure, as it is a widely used method.
For an assumed number of populations, structure analysis can estimate the proportional contribution of each ancestral population to each cultivar.
The Q matrix produced by Structure was included as covariate in the analysis to control for populations structure.
To detect admixture, we investigated Russian and HapMap populations structure via the discriminant analysis of principal components (DAPC) [ 41].
Full descriptions of the study populations, structure of their communities, laboratory methods used, and summary statistics have been published elsewhere (7, 26– 31).
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STRUCTURE estimates population structure using genotype data.
Population structure was evaluated using STRUCTURE 2.3.4 software [ 51].
The population structure was estimated using the STRUCTURE software [ 33].
Population structure was determined using the STRUCTURE software [ 47].
Population structure matrix Q was calculated with STRUCTURE software [ 39].
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