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Table 3 Means and standard deviations of estimated genetic parameters across 100 replicates when genetic correlations are zero

From: Estimation of genetic variance for macro- and micro-environmental sensitivity using double hierarchical generalized linear models

Fixed effects1

True parameters

Estimated parameters (SD)

Np

σ A int 2

σ A sl 2

σ A v 2

σ A int 2

 

σ A sl 2

 

σ A v 2

 

No

0.1

0.05

0.1

0.101

(0.020)

0.051

(0.012)

0.095

(0.035)

0

No

0.3

0.05

0.1

0.315

(0.053)

0.054

(0.015)

0.107

(0.046)

0

No

0.5

0.05

0.1

0.507

(0.066)

0.052

(0.013)

0.115

(0.061)

3

No

0.3

0.05

0.05

0.297

(0.047)

0.053

(0.012)

0.053

(0.029)

4

No

0.3

0.05

0.2

0.308

(0.049)

0.053

(0.014)

0.186

(0.065)

0

No

0.3

0.025

0.1

0.298

(0.047)

0.026

(0.008)

0.097

(0.041)

0

No

0.3

0.1

0.1

0.296

(0.052)

0.104

(0.021)

0.083

(0.045)

1

Yes

0.1

0.05

0.1

0.099

(0.022)

0.053

(0.014)

0.091

(0.037)

1

Yes

0.3

0.05

0.1

0.309

(0.044)

0.057

(0.015)

0.104

(0.051)

0

Yes

0.5

0.05

0.1

0.503

(0.084)

0.052

(0.014)

0.104

(0.074)

10

  1. 1Models have either only a mean as fixed effect (no fixed effects) or have contemporary groups as fixed effects (yes); σ A int 2 = additive genetic variance of breeding value for the intercept; σ A sl 2 = additive genetic variance of breeding value for the slope (= macro-environmental sensitivity); σ A v 2 = additive genetic variance for environmental variance (= micro-environmental sensitivity); Np = number of replicates with covariance structures forced to be positive definite.