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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.