Table 1.
Genetic parameters of core subsets selected by different methods at 86 genotypes sample.
| Strategy ID | Bruvo genetic distance | D CE | S H | H E | N E | C V (%) | ||
|---|---|---|---|---|---|---|---|---|
| E-E | E-NE | A-NE | E-E | |||||
| Swiss National Pear Inventory | 0.591 | — | — | 0.834 | 4.967 | 0.830 | 7.73 | 100.00 |
| Priority subset (SPPS)a | 0.603 | 0.403 | 0.385 | 0.842 | 4.928 | 0.832 | 7.74 | 66.67 |
| A-86b | 0.648 | 0.497 | 0.425 | 0.878 | 5.222 | 0.873 | 10.28 | 89.25 |
| M-86c | 0.630 | 0.464 | 0.422 | 0.864 | 5.158 | 0.857 | 9.21 | 91.00 |
Footnotes:
E-E: Average entry to entry distance, E-NE: average distance between each entry and the nearest entry, A-NE: Average distance between each genotype of the collection and the nearest entry, DCE: average genetic distance of Cavalli-Sforza and Edwards, SH: Shannon-Weaver diversity index, HE: Nei diversity index, CV: allelic coverage in percentage.
aPriority subset selected by “expert knowledge” considerations (SPPS, i.e. Swiss Pear Priority Set).
bEach parameter was optimized by performing 80 independent runs with equal weight given to each of the parameters (CV, average and minimum DCE, SH, and HE).
cEach parameter was optimized by performing 200 independent runs.