Table 5.
Global analysis of molecular variance (AMOVA) showing the partition of genetic variation among and within populations for Nothofagus obliqua, N. alpina, and N. glauca
| Source of variation | df1 | Sum of squares | Variance components | Percentage of variation | RST2 |
|---|---|---|---|---|---|
| N. obliqua | |||||
| Among populations | 19 | 2449.8 | 3.274 | 11.0 | 0.110 |
| Within populations | 606 | 16,108.3 | 26.519 | 89.0 | |
| Total | 625 | 18,558.1 | 29.793 | ||
| N. alpina | |||||
| Among populations | 11 | 3009.8 | 7.430 | 16.0 | 0.160 |
| Within populations | 366 | 14,290.3 | 38.910 | 84.0 | |
| Total | 377 | 17,300.1 | 46.340 | ||
| N. glauca | |||||
| Among populations | 7 | 834.4 | 2.909 | 8.7 | 0.087 |
| Within populations | 241 | 7264.9 | 30.367 | 91.3 | |
| Total | 248 | 8099.3 | 33.276 | ||
Results are a weighted average over usable loci. We performed the analyses under the stepwise mutation model (SMM) using RST-like sum of squared size differences with 1000 permutations.
1
Average degrees of freedom across loci.
2
All RST are highly significant (P < 0.00001).