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Table 3 Model selection of the linear mixed effect model used to investigate the influence of diet treatment, genetic group and egg size upon body weight of Atlantic salmon at termination

From: Plasticity in growth of farmed and wild Atlantic salmon: is the increased growth rate of farmed salmon caused by evolutionary adaptations to the commercial diet?

Model

N

Response Variable

Random effects

Fixed effects

Variable

Chi.sq

Chi.df

P

Variable

Sum.sq

Num.df

Den.df

F

P

 

1972

Log Weight

T:r

0.54

1

0.46

T x G

0.068

4

11.30

0.52

0.72

   

T/G:f

85.06

5

<1e-07

G x E

0.094

2

9.22

1.46

0.28

       

T x E

0.25

2

13.01

3.74

0.052

       

T

41.76

2

13.80

645.12

<1e07

       

G

6.85

2

11.56

105.35

<1e07

       

E

0.34

1

11.92

10.29

0.0076

  1. Significance levels of random and fixed effects included in the full LME model investigating variation in log body weight at termination. N; number of individuals. Log weight; log10 (wet weight + 1) at termination. Random effects: T:r; replicate (r) nested within treatment (T) (random intercept). T/G:f; familiy (f) nested within group (G), across treatments (T) (random intercept and slope). Chi.sq; the value of the Chi square statistics. Chi Df; the degrees of freedom for the test. P; P-value of the likelihood ratio test for the random effect. Fixed effects: T, diet treatment (control, carp, natural). G; genetic group (farmed, wild, hybrid). E; mean family (log10) centred egg diameter. Two-way interactions terms included in the full model: T x G, T x E and G x E. Sum.Sq; sum of squares. Num Df, numerator degrees of freedom. Den Df; denominator degrees of freedom based on Sattherwaithe’s approximations. F; F-value. The variables in bold were retained in the final model