Table 2 Prediction accuracies of different genetic evaluation methods for each trait using information about the SOCS2 gene or not

Prediction accuracy using

Pedigree-based BLUP

0.507

0.389

0.330

0.693

0.684

0.421

0.451

0.477

0.336

ssGBLUP

0.549

0.450

0.463

0.724

0.745

0.454

0.523

0.473

0.423

ssGBLUP_SOCS2

0.550

0.450

0.465

0.724

0.745

0.456

0.523

0.473

0.424

WssGBLUP_{(classical, 1)}

0.498

0.422

0.437

0.723

0.730

0.421

0.538

0.473

0.452

The best WssGBLUP_{(m, n)} method

0.561

0.461

0.486

0.739

0.762

0.471

0.538

0.504

0.460

Pedigree-based Gene Content

0.557

0.430

0.405

0.698

0.688

0.438

0.448

0.512

0.366

Gain in prediction accuracy between

Pedigree-based BLUP & ssGBLUP

8.25%

15.54%

40.34%

4.41%

8.95%

7.80%

15.84%

-0.96%

26.07%

ssGBLUP & the best WssGBLUP method

2.16%

2.46%

5.04%

2.06%

2.32%

3.77%

2.80%

6.59%

8.75%

Without & with the SOCS2 SNP among the markers (average within the WssGBLUP_{(m, n)} methods)

0.22%

0.13%

0.51%

0.02%

0.10%

1.06%

-0.02%

0.02%

0.26%

Pedigree-based BLUP & pedigree-based Gene Content

8.88%

9.54%

18.64%

0.68%

0.57%

3.80%

-0.89%

6.72%

8.33%

Maximum 100

Maximum 200

Maximum 200

Maximum 40

Maximum 45

Mean 200

Classical

Sum 30

Maximum 5