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. 2018 Mar 14;14:93. doi: 10.1186/s12917-018-1421-4

Table 4.

Results of a linear mixed model predicting daily kgMS production

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

Ref = the reference category for each categorical variable

aOverall significance of Wilmink’s correction and its interaction in the model < 0.001

bOverall significance of MAP status in the model < 0.001