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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.