Scenario
|
True model
|
True parameters
|
Statistical model
|
Estimated parameters (SD)
|
---|
|
| |
|
|
|
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)
| |
- 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; = additive genetic variance of breeding value for intercept (true value = 0.3); = additive genetic variance of breeding value for slope (= macro-environmental sensitivity); = additive genetic variance for environmental variance (= micro-environmental sensitivity), = = = 0; Np = number of replicates with covariance structures forced to be positive definite.