Milk yield data for cows milked manually twice a day (morning and evening).
milkmanA data frame with 161836 observations on the following 12 variables.
cownoa numeric vector; cow identification
lactnoa numeric vector; lactation number
ampma numeric vector; milking time: 1: morning; 2: evening
dfca numeric vector; days from calving
mya numeric vector; milk yield (kg)
fatpcta numeric vector; fat percentage
protpcta numeric vector; protein percentage
lactpcta numeric vector; lactose percentage
scca numeric vector; somatic cell counts
racea factor with levels RDM Holstein Jersey
ecmya numeric vector; energy corrected milk
cowlactCombination of cowno and lactno; necessary because the same cow may appear more than once in the dataset (in different lactations)
There are data for 222 cows. Some cows appear more than once in the dataset (in different lactations) and there are 288 different lactations.
Friggens, N. C.; Ridder, C. and Løvendahl, P. (2007). On the Use of Milk Composition Measures to Predict the Energy Balance of Dairy Cows. J. Dairy Sci. 90:5453–5467 doi:10.3168/jds.2006-821.
This study was part of the Biosens project used data from the “Malkekoens energibalance og mobilisering” project; both were funded by the Danish Ministry of Food, Agriculture and Fisheries and the Danish Cattle Association.