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Table 1 Generalized linear models investigating the influence of climatic variables and pH on antimicrobial protein activities

From: Are antimicrobial defences in bird eggs related to climatic conditions associated with risk of trans-shell microbial infection?

Response variable

Model formula

k

∆AICc

w i

Lysozyme

Temperature

5

0.00

0.484

 

Temperature + pH

6

1.98

0.180

 

Precipitation + Temperature

6

2.05

0.173

 

Precipitation + Temperature + Precipitation:Temperature

7

3.78

0.073

 

Precipitation + Temperature + pH

7

4.18

0.060

 

Precipitation + Temperature + pH + Precipitation:Temperature

8

5.96

0.025

 

AM

5

10.90

0.002

 

Null model

4

11.39

0.002

 

AM + pH

6

12.95

0.001

 

Precipitation

5

13.14

0.001

 

pH

5

13.57

0.001

 

Precipitation + pH

6

15.31

0.000

Ovotransferrin

pH

5

0.00

0.334

 

Temperature + pH

6

0.29

0.289

 

AM + pH

6

2.09

0.118

 

Precipitation + Temperature + pH

7

2.19

0.112

 

Precipitation + pH

6

2.22

0.110

 

Precipitation + Temperature + pH + Precipitation:Temperature

8

4.42

0.037

 

Precipitation + Temperature

6

14.84

0.000

 

Temperature

5

16.14

0.000

 

Precipitation + Temperature + Precipitation:Temperature

7

17.07

0.000

 

Null model

4

17.44

0.000

 

Precipitation

5

17.99

0.000

 

AM

5

19.40

0.000

  1. Models are ranked by ∆AICc, which indicates the difference between each model and the model with the lowest AICc. The AICc weight, w i , illustrates the relative likelihood of a model given the set of candidate models, normalised to sum to one. k refers to the number of parameters in each model.