Table 5 The estimates of variance components, heritabilities and the 95% HPD intervals for the field data from the adapted phases of the algorithm using Bayes_ID and Bayes_Aext covariances

From: Bayesian adaptive Markov chain Monte Carlo estimation of genetic parameters

 

Bayes_ID

Bayes_A ext

REML

 

Mean

Median

Mode

2.5

97.5

Mean

Median

Mode

2.5

97.5

 

σ a 2

9.27

9.13

9.08

5.15

13.54

9.10

9.15

9.05

5.20

13.69

9.21

σ h 2

2.45

2.49

2.60

0.00

4.61

2.98

2.70

2.84

0.00

4.77

3.18

σ e 2

17.67

17.58

17.50

15.33

20.30

17.18

17.23

17.29

15.36

20.25

17.08

h 2

0.76

0.76

0.76

  

0.76

0.76

0.76

  

0.75

  1. Abbreviation: REML, residual maximum likelihood.
  2. REML estimates are also shown.
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