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We conducted a Bayesian analysis of the population structures by using STRUCTURE version 2.2 (Pritchard et al. 2000).
Population structure was investigated using the program STRUCTURE version 2.1 [20] with an admixture model.
We also conducted a Bayesian analysis of population structure on the SSR data using STRUCTURE, version 2.2 [ 60].
Analysis of the population structure among the accessions was performed using STRUCTURE version 2.3.4 [ 40].
Following AFLP marker analysis the population structure was calculated with the software package STRUCTURE version 2.3.4 [ 33, 59].
Population structure was assessed without a priori groupings using STRUCTURE version 2.3.4 [ 44].
To depict the population structure among the populations, we used the software STRUCTURE version 2.3.3 [ 40, 41].
The tree was plotted using MEGA5, and the population structures were accessed by admixture analysis using the STRUCTURE version 2.3.4, which is based on the maximum likelihood method.
An admixture model-based clustering method was used to infer population structure of the 450 lines using the software package STRUCTURE, version 2.3.3 [ 30].
In addition, the genetic structure of rice population was estimated by the model-based program STRUCTURE version 2.3.4 (http://pritch.bsd.uchicago.edu/structure.html) [ 52, 53].
A Bayesian clustering approach, implemented using STRUCTURE version 2.3 software [30], was also used to estimate the population structure based on microsatellite data.
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