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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.