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Table 4 Prediction accuracies for wood quality and growth traits estimated with cross-validation sets built with individuals within full-sib families using pedigree (CV1-A), ridge regression (CV1-RR) or both (CV1-RRA) sources of information with all SNPs ( m = 6,932) and various subpopulations of individuals

From: Genomic selection accuracies within and between environments and small breeding groups in white spruce

  

Cross-validation

Trait†

Subpopulation*

Pedigree (CV1-A)

Markers (CV1-RR)

Markers and pedigree (CV1-RRA)

Relative efficiency markers/pedigree (%)

ADEN

BG1

0.86

0.79

0.83

92

 

BG1 → BG2

−0.02

0.06

0.22

–

 

S1

0.83

0.75

0.80

90

 

S1 → S2

0.72

0.66

0.71

92

AMFA

BG1

0.84

0.77

0.82

92

 

BG1 → BG2

0.03

0.03

0.03

–

 

S1

0.79

0.71

0.77

90

 

S1 → S2

0.70

0.61

0.67

87

HT17

BG1

0.67

0.58

0.65

87

 

BG1 → BG2

0.02

−0.10

−0.08

–

 

S1

0.76

0.68

0.74

89

 

S1 → S2

0.40

0.34

0.40

85

DBH17

BG1

0.60

0.52

0.58

87

 

BG1 → BG2

−0.01

−0.16

−0.14

–

 

S1

0.78

0.69

0.76

88

 

S1 → S2

0.29

0.24

0.30

83

MSE‡

 

0.026

0.024

0.021

–

  1. †ADEN: average wood density; AMFA: average microfibril angle; HT17: 17-year height; DBH17: 17-year diameter at breast height.
  2. *BG1: both training and testing sets from breeding group 1; BG1 → BG2: training sets from breeding group 1 and testing sets from breeding group 2; S1: both training and testing sets from site 1; S1 → S2: training sets from site 1 and testing sets from site 2.
  3. ‡Mean standard error over cross-validation iterations and subpopulations.