Table 4.
Species | Class of functionality scores | Predicted functionality1 | Number of SNPs on SNP bead array | Number of valid SNPs detected2 | Overall success rate (%)2 | Number of monomorphic SNPs | Number of failed SNPs |
White spruce | |||||||
0.1–0.4 | low | 18 | 8 | 44.4 | 2 | 8 | |
0.4–0.6 | medium | 71 | 27 | 38.0 | 6 | 38 | |
0.6–1.0 | high | 679 | 481 | 70.8 | 74 | 124 | |
Total | - | 768 | 516 | - | 82 | 170 | |
Weighted average | - | - | - | 67.2 | - | - | |
Black spruce | |||||||
0.1–0.4 | low | 4 | 2 | 50.0 | 0 | 2 | |
0.4–0.6 | medium | 70 | 37 | 52.9 | 3 | 30 | |
0.6–1.0 | high | 694 | 553 | 79.7 | 34 | 107 | |
Total | - | 768 | 592 | - | 37 | 139 | |
Weighted averaged | - | - | - | 77.1 | - | - |
1According to Illumina OligoDesigner software [29]
2Excluding failed and monomorphic SNPs.