Method of detection | Frequentist | Bayesian inference | ||||
---|---|---|---|---|---|---|
Dataset | Locus | p-value | F ST | Posterior probability | A | F ST |
Geography (Structure 11) | 52 3 | 0.000 | 0.231 | 1 | 2.010 | 0.221 |
68 | 0.000 | 0.338 | 1 | 1.790 | 0.191 | |
38 | 0.000 | 0.276 | 1 | 1.810 | 0.194 | |
10 | 0.000 | 0.248 | 0.758 | 1.000 | 0.105 | |
63 | 0.004 | 0.180 | 0.999 | 1.520 | 0.156 | |
13 | 0.099 | 0.061 | 0.974 | 1.320 | 0.136 | |
47 | 0.045 | 0.080 | 0.931 | 1.190 | 0.122 | |
Geography + host-plant | 38 | 0.000 | 0.259 | 1 | 2.090 | 0.208 |
(Structure 21) | 52 | 0.000 | 0.256 | 1 | 2.180 | 0.220 |
63 | 0.000 | 0.225 | 1 | 1.950 | 0.186 | |
68 | 0.000 | 0.231 | 0.999 | 1.650 | 0.151 | |
10 | 0.000 | 0.181 | 0.743 | 0.893 | 0.082 | |
30 | 0.016 | 0.088 | 0.908 | 1.110 | 0.098 | |
33 | 0.018 | 0.095 | 0.876 | 1.030 | 0.091 | |
27 | 0.102 | 0.066 | 0.882 | 1.040 | 0.092 | |
13 | 0.069 | 0.054 | 0.981 | 1.300 | 0.116 | |
47 | 0.043 | 0.065 | 0.865 | 1.030 | 0.092 | |
Local host-plant differentiation | ||||||
Regions | ||||||
Finland2 (Structure 31) | ||||||
Limousin (Structure 41) | 27 | 0.000 | 0.217 | 0.915 | 1.460 | 0.222 |
Ardeche2 (Structure 51) |