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Table 2 Results from comparison to simulated breeding values (TBV)

From: Comparison of analyses of the QTLMAS XIII common dataset. I: genomic selection

Analysis

Method

Var

Acc

MSEP

Rank

Regr

0

TBV

25.346

1

0

1

1

1

Cle_Bayes.A

26.490

0.916

4.369

0.749

0.896

2

Cle_Lasso

32.909

0.916

5.337

0.716

0.804

3

Cle_Student.t

30.554

0.945

3.322

0.791

0.860

4

Pon_GEBV21

18.638

0.901

4.794

0.726

1.051

5

Sch_EBV600

20.354

0.889

5.303

0.700

0.992

6

Muc_SNPL

23.204

0.751

12.101

0.578

0.785

7

Vee_14.SNP

20.166

0.930

3.460

0.764

1.043

8

Vee_BLUP

10.763

0.647

14.728

0.485

0.993

9

Vee_IBD

19.009

0.931

3.475

0.767

1.075

10

Vee_IBS2

18.344

0.932

3.504

0.816

1.095

11

Vee_IBS5

19.579

0.929

3.517

0.781

1.057

12

Vee_SNP1

24.975

0.912

4.433

0.719

0.919

13

Vee_SNP2

17.974

0.925

3.828

0.793

1.098

14

Vee_SNP3

17.928

0.927

3.744

0.779

1.102

15

Ver_Bayes.BLUP

20.721

0.885

5.479

0.691

0.979

16

Ver_BayesA

13.783

0.857

7.092

0.696

1.162

17

Ver_BayesA.B

17.124

0.889

5.435

0.730

1.081

18

Ver_BayesC

17.914

0.861

6.561

0.710

1.024

19

Pon_GEBV1

19.726

0.897

4.971

0.709

1.016

20

best_case

34.256

0.985

1.572

0.935

0.847

  1. 1After the QTLMAS workshop an error in the implemented software was found by the participant. The adjusted implementation yielded an accuracy of 0.947.
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BMC Proceedings

ISSN: 1753-6561

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