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Table 4 Estimates (hat) of the mixing proportion in the k th cluster (π k ), the cluster mean and variance (μ k  and σ 2 k ) and Bayesian confidence interval (BCI) for parameters in the distribution of additive effects and dominance coefficients. Values expressed in units of phenotypic standard deviation

From: Method to represent the distribution of QTL additive and dominance effects associated with quantitative traits in computer simulation

Data sets

Effect type

Estimated parameters

Posterior estimate

BCI

2.50 %

97.50 %

Data I

Additive

\( {\widehat{\sigma}}_1^2 \)

0.044

0.034

0.059

Data II

Additive

\( {\widehat{\sigma}}_1^2 \)

0.147

0.110

0.194

Data III

Additive

\( {\widehat{\pi}}_1 \)

0.880

0.451

0.973

\( {\widehat{\pi}}_2 \)

0.120

0.006

0.572

\( {\widehat{\sigma}}_1^2 \)

0.179

0.068

0.227

\( {\widehat{\sigma}}_2^2 \)

0.107

0.008

0.200

Dominance coefficient

\( {\widehat{\mu}}_1 \)

0.152

0.055

0.237

\( {\widehat{\sigma}}_1^2 \)

0.329

0.193

0.542

Data IV

Additive

    

20-kernel weight

\( {\widehat{\sigma}}_1^2 \)

0.013

0.011

0.015

Days to anthesis

\( {\widehat{\sigma}}_1^2 \)

0.131

0.118

0.146