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Table 4 Results of a linear mixed model predicting daily kgMS production

From: The effect of sub-clinical infection with Mycobacterium avium subsp. paratuberculosis on milk production in a New Zealand dairy herd

Input variable

Coefficient

SE

p-value

Intercept

1.77

0.03

< 0.001

Parity

 Primiparous

Ref

  

 Multiparous

0.73

0.03

< 0.001

Days in Milk

−0.002

0.0001

< 0.001

Wilmink’s correctiona

 exp(− 0.1 × DIM)

−0.13

0.22

0.546

Cow breed

  > 75% Friesian

Ref

  

 50–75% Friesian,

−0.09

0.02

< 0.001

  < 50% Friesian

−0.07

0.02

< 0.001

DIM × parity

 DIM × Primiparous

Ref

  

 DIM × Multiparous

−0.002

0.0002

< 0.001

Wilmink’s correction × parity

   

exp(−0.1 × DIM × primiparous)

Ref

  

exp(−0.1 × DIM × multiparous)

−0.21

0.24

0.379

Season

 2013–14

Ref

  

 2014–15

0.22

0.01

< 0.001

MAP statusb

   

Undetected

Ref

  

Moderate latent

−0.03

0.02

0.136

High latent

−0.07

0.03

0.004

Moderate shedding

−0.07

0.04

0.036

High shedding

−0.20

0.04

< 0.001

  1. Ref = the reference category for each categorical variable
  2. aOverall significance of Wilmink’s correction and its interaction in the model < 0.001
  3. bOverall significance of MAP status in the model < 0.001