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Table 3 Summary of REML logl-likelihoods and minimum Akaike Information Criterion (AIC) for the range of genetic variance models fitted to the example data set

From: Estimation in a multiplicative mixed model involving a genetic relationship matrix

Model

Structure of var(ug)

Number of

Log-likelihood

AIC

 

†

‡

parameters

Zero §

  

1

-

FA1

28

-

2366.4

1493

2

-

FA2

41

-

2477.3

1297

3

-

FA3

53

-

2504.7

1266

4

FA1

-

28

0

3051.1

124

5

FA2

-

41

0

3120.8

10

6

FA1

FA1 (9)

42

0

3115.1

24

7

FA2

FA1 (9)

55

1

3138.2

3

8

FA3

FA1 (9)

66

1

3150.9

0

9

FARR1

FA1 (9)

28

14

2525.3

1175

10

FARR2

FA1 (9)

41

14

2750.9

750

11

FARR3

FA1 (9)

53

14

2974.9

326

12

FARR4

FA1 (9)

64

14

3046.5

205

13

FARR5

FA1 (9)

74

14

3107.9

102

14

FARR6

FA1 (9)

83

14

3149.4

37

  1. † genetic variance matrix for additive effects
  2. ‡ genetic variance matrix for non-additive effects
  3. § specific variances in the FA model for additive effects
  4. ¶ difference between each model and the best model