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Table 9 Posterior inference on sire-MGS (co)variances for gestation length (GL) and birth weight (BW) using the bivariate Student's-t (BSt) and normal (BN) models.

From: Use of linear mixed models for genetic evaluation of gestation length and birth weight allowing for heavy-tailed residual effects

 

BSt

BN

Parameters

PM1

95% PPI2

ESS3

PM

95% PPI

ESS

8.42

[6.65, 10.43]

894

8.13

[6.27, 10.31]

384

0.13

[-0.43, 0.72]

774

0.16

[-0.48, 0.81]

496

2.75

[1.77, 3.76]

567

2.73

[1.63, 3.81]

323

-0.54

[-1.04, -0.04]

524

-0.74

[-1.32, -0.21]

405

1.02

[0.68, 1.43]

528

1.12

[0.75, 1.55]

550

0.26

[-0.13, 0.69]

429

0.40

[-0.09, 0.90]

230

0.36

[0.15, 0.58]

428

0.39

[0.18, 0.62]

484

2.24

[1.47, 3.16]

389

2.04

[1.17, 3.05]

232

0.27

[-0.03, 0.57]

430

0.32

[-0.01, 0.69]

336

0.53

[0.34, 0.74]

457

0.59

[0.38, 0.87]

371

  1. 1Posterior mean
  2. 295% equal-tailed posterior probability interval based on the 2.5thand 97.5thpercentiles of the posterior density
  3. 3Effective sample size