Table 2.

Bayesian clustering analyses and different models used to infer the optimal number of population (K)

Bayesian clustering software	Model use	Inferred number of cluster (K)
BAPS	Spatial, with mixture model	K = 1
	Spatial, with admixture model	K = 1
	Non-spatial model, with admixture model	K = 7
GENELAND	Spatial model, with uncorrelated allele frequency	K = 1
	Spatial model, with correlated allele frequency	K = 3
STRUCTURE	Admixture, with correlated allele frequency, using location information	K = 1
	Admixture, with independent allele frequency, using location information	K = 1
	Admixture, with correlated allele frequency, no location information supplied	K = 1
	Admixture, with independent allele frequency, no location information supplied	K = 1
	No admixture, with correlated allele frequency, using location information	K = 1
	No admixture, with independent allele frequency, using location information	K = 1
	No admixture, with correlated allele frequency, no location information supplied	K = 1
	No admixture, with independent allele frequency, no location information supplied	K = 3, K = 2 *

*Inferred number of cluster using Evanno’s method