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

—

—

—

  1. Class labels a, b, or c denote significant differences between methods at level of p < 0.05