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Table 1 List of genomic selection studies based on real data sets conducted on forest tree species. Studies are listed in chronological order of publication. This study is the last one listed

From: Performance of genomic prediction within and across generations in maritime pine

Species

Population

Genotyping

Traits analyzed

Models

Prediction accuracy

Reference

Size

Family type

Family size

G

Method

Number of markers

Eucalyptus hybrids

738

43 FS

15 to 23

1

DArT array

3129

Growth, wood properties

RR-BLUP

0.54–0.6

[26]

920

51 FS

10 to 15

1

DArT array

3564

0.38–0.55

Loblolly pine

790–840

61 FS

-

1

SNP array

4852

Growth

RR-BLUP

0.63–0.75

[51]

Loblolly pine

951

61 FS

15 ± 2.2

1

SNP array

4825

Growth, tree architecture, wood properties, disease resistance

RR-BLUP, Bayes A, Bayes Cπ, B-LASSO, RR-BLUP B

0.17–0.51

[52]

Loblolly pine

149

13 FS

1 to 34

1

SNP array

3406

Growth, wood properties

RR-BLUP

0.30–0.83

[75]

Loblolly pine

165

9 FS

3 to 37

1

SNP array

3461

Growth

ABLUP, GBLUP

0.37–0.74

[71]

White spruce

1694

214 HS

-

1

SNP array

6385

Growth, wood properties

ABLUP, B-RR, B-LASSO

0–0.44

[24]

White spruce

1748

59 FS

25 to 33

1

SNP array

6932

Growth, wood properties

ABLUP, B-RR, Combined

0.33–0.45

[60]

Loblolly pine

956

61 FS

15 ± 2.2

1

SNP array

4825

Growth, tree architecture

ABLUP, RR-BLUP

0.17–0.51

[57]

Maritime pine

661

191 HS

1 to 13

2

SNP array

2500

Growth, stem straightness

GBLUP, B-RR, B-LASSO

0.09–0.73

[25]

Interior spruce

1126

25 HS

<32

1

GBS

8868–62,198

Growth, wood properties

RR-BLUP, GRR

0.34–0.77

[61]

Interior spruce

769

25 HS

-

1

GBS

34,570–50,803

Growth

RR-BLUP, GRR, Bayes Cπ

0.04–0.55

[76]

Maritime pine

817

35 HS

13 to 34

3

SNP array

4332

Growth, stem straightness

ABLUP, GBLUP, B-LASSO

0.24–0.94

This study

  1. FS full-sib family, HS half-sib family, G number of generations included in the study, GBS genotyping-by-sequencing method