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Table 7 Means and standard deviations across 100 replicates of estimated genetic parameters when true and statistical models differ

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

Scenario True model True parameters Statistical model Estimated parameters (SD)
σ A sl 2 σ A v 2   σ A int 2 σ A sl 2 σ A v 2 Np
A Macro 0.025 0 Micro 0.303   0.010 51
(0.045) (0.020)
Macro 0.05 0 Micro 0.303   0.010 48
(0.044) (0.013)
Macro 0.1 0 Micro 0.308   0.018 37
(0.050) (0.019)
B Macro 0.025 0 Macro–micro 0.296 0.027 0.012 60
(0.046) (0.009) (0.011)
Macro 0.05 0 Macro–micro 0.298 0.052 0.013 51
(0.048) (0.011) (0.013)
Macro 0.1 0 Macro–micro 0.307 0.091 0.012 54
(0.051) (0.020) (0.013)
C Micro 0 0.05 Macro 0.296 0.002   0
(0.041) (0.003)
Micro 0 0.1 Macro 0.292 0.003   0
(0.039) (0.004)
Micro 0 0.2 Macro 0.289 0.002   0
(0.043) (0.003)
D Micro 0 0.05 Macro–micro 0.303 0.003 0.053 71
(0.050) (0.003) (0.024)
Micro 0 0.1 Macro–micro 0.300 0.003 0.084 60
(0.047) (0.003) (0.034)
Micro 0 0.2 Macro–micro 0.304 0.002 0.143 66
(0.049) (0.003) (0.058)
E Macro–micro 0.05 0.05 Macro 0.297 0.055   0
(0.047) (0.014)
Macro–micro 0.05 0.1 Macro 0.298 0.053   0
(0.052) (0.012)
Macro–micro 0.05 0.2 Macro 0.292 0.053   0
(0.049) (0.011)
Macro–micro 0.025 0.1 Macro 0.306 0.026   0
(0.050) (0.008)
Macro–micro 0.1 0.1 Macro 0.298 0.106   0
(0.045) (0.022)
F Macro–micro 0.05 0.05 Micro 0.299   0.050 3
(0.051) (0.031)
Macro–micro 0.05 0.1 Micro 0.297   0.095 1
(0.047) (0.042)
Macro–micro 0.05 0.2 Micro 0.304   0.191 0
(0.045) (0.070)
Macro–micro 0.025 0.1 Micro 0.299   0.105 0
(0.049) (0.043)
Macro–micro 0.1 0.1 Micro 0.298   0.103 1
      (0.045)   (0.045)  
  1. See Table 2 for schematic overview of scenarios; “Macro–micro” = model accounting for both macro- and micro-environmental sensitivities; “Macro” = model with only macro-environmental sensitivity; “Micro” = model with only micro-environmental sensitivity; σ A int 2 = additive genetic variance of breeding value for intercept (true value = 0.3); σ A sl 2 = additive genetic variance of breeding value for slope (= macro-environmental sensitivity); σ A v 2 = additive genetic variance for environmental variance (= micro-environmental sensitivity), ρ A int , A v = ρ A int , A sl = ρ A sl , A v = 0; Np = number of replicates with covariance structures forced to be positive definite.