Table 2. Average prediction accuracy of MAS and three different approaches of genomic selection for heading time and plant height.
| Method |
Heading time
|
Plant height
|
||
|---|---|---|---|---|
| Accuracy | s.d. | Accuracy | s.d. | |
| MAS-NCVa | 0.526 | — | 0.444 | — |
| MASb | 0.535 | 0.091 | 0.378 | 0.101 |
| RR-BLUPc | 0.404 | 0.112 | 0.395 | 0.135 |
| BayesCπc | 0.442 | 0.114 | 0.422 | 0.125 |
| W-BLUPc | 0.576 | 0.110 | 0.502 | 0.115 |
Abbreviations: MAS, marker-assisted selection; RR-BLUP, ridge regression best linear unbiased prediction; NCV, non-cross-validation; W-BLUP weighted best linear unbiased prediction; s.d., standard deviation.
a
MAS-NCV indicates MAS prediction accuracy without cross-validation based on functional marker Ppd-D1 for heading time and functional markers Ppd-D1, Rht-B1 and Rht-D1 for plant height. As only one value is available, s.d. could not be determined.
b
MAS prediction accuracy according to cross-validation.
c
Genomic selection accuracies according to cross-validation for RR-BLUP, BayesCπ and W-BLUP based on 1280 markers plus the functional markers.