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Table 5 Means and standard deviations across 100 replicates of estimated genetic parameters for different designs

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

  Estimated parameters (SD)
NS NO σ A int 2 σ A sl 2 σ A v 2 ρ A int , A v ρ A int , A sl ρ A sl , A v Np
100 20 0.301 0.063 0.120 −0.008 −0.004 0.083 51
(0.057) (0.038) (0.113) (0.304) (0.216) (0.416)
100 50 0.309 0.056 0.099 −0.016 −0.013 0.025 8
(0.051) (0.020) (0.060) (0.279) (0.165) (0.376)
100 100 0.315 0.054 0.107 −0.005 0.004 0.012 0
(0.053) (0.015) (0.046) (0.165) (0.155) (0.249)
100 200 0.301 0.053 0.093 0.000 0.007 −0.013 0
(0.046) (0.009) (0.024) (0.135) (0.116) (0.168)
50 100 0.312 0.053 0.107 0.015 0.002 0.036 5
(0.079) (0.018) (0.064) (0.295) (0.199) (0.320)
200 100 0.301 0.053 0.099 0.009 −0.002 −0.009 0
   (0.033) (0.009) (0.028) (0.142) (0.108) (0.163)  
  1. NS = number of sires; NO = number of offspring per sire; 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; true value = 0.05); σ A v 2 = additive genetic variance for environmental variance (= micro-environmental sensitivity; true value = 0.10); 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.