Table 3 Average predictive abilities and numbers of extracted components of four methods for four traits of the rice data from ten replicated 10-fold cross validation analyses
From: Genomic selection using principal component regression
Trait | Method | Predictive ability | Number of components | ||
|---|---|---|---|---|---|
Mean | StdEv | Mean | StdEv | ||
YD | PCR-HAT | 0.1351 | — | 25 | — |
PCR-CV | 0.1422a | 0.0185 | 50.7 | 12.5082 | |
PLSR-CV | 0.1181b | 0.0245 | 2.9 | 0.3162 | |
BLUP-HAT | 0.1991 | — | — | — | |
TP | PCR-HAT | 0.5088 | — | 44 | — |
PCR-CV | 0.5054a | 0.0097 | 46.1 | 7.9085 | |
PLSR-CV | 0.5045a | 0.0112 | 3.2 | 0.4216 | |
BLUP-HAT | 0.5373 | — | — | — | |
GN | PCR-HAT | 0.3314 | — | 62 | — |
PCR-CV | 0.3542a | 0.0310 | 109.0 | 45.9347 | |
PLSR-CV | 0.3456a | 0.0313 | 5.2 | 1.3984 | |
BLUP-HAT | 0.4184 | — | — | — | |
KGW | PCR-HAT | 0.7466 | — | 94 | — |
PCR-CV | 0.7470a | 0.0172 | 138.5 | 15.5009 | |
PLSR-CV | 0.7316b | 0.0174 | 9.9 | 3.6347 | |
BLUP-HAT | 0.7598 | — | — | — | |