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AbstractFull Text

The ICAR Dairy Cattle Milk Recording Working Group has finished revising the ICAR Guidelines for dairy cattle milk recording. The work has taken three years with input from many specialists inside and outside the working group. This part of the ICAR Guidelines concerns the core process of many...

Author(s)
Kyntäjä, J.; Bucek, P.; Haase, K.; Kuwan, K.; Lavon, Y.; Leclerc, H.; Miglior, F.; Trejo, C.; Westhuizen, J. van der; Zottl, K.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2017, No.21, pp 217-220
AbstractFull Text

This survey looks at the plausibility checks used at data capture of a few key data sets in milk recording organisations around the world. The aim of these checks is to keep the data integral, with no internal discrepancies. We found that the most important plausibility checks are almost universal, ...

Author(s)
Kyntäjä, J.; Alday, S.; Barras, E.; Bhagat, R. L.; Bucek, P.; Craven, T.; Feeney, L.; Galvanovska, E.; Haase, K.; High, J.; Jóhannesson, G.; Kuwan, K.; Larsson, N. L.; Lauritsen, U.; Lavon, Y.; Mikalsen, V.; Pecinar, M.; Radzio, D.; Rapaioli, F.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2018, No.23, pp 179-183
AbstractFull Text

During the last twenty years the proportion of automatic milking systems (AMS) in Germany growth to nearly ten percent. The huge amount of data out of AMS is a treasure but also a challenge in data processing for milk recording. For the comparability of daily milk yield and lactation yield between...

Author(s)
Kuwan, K.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2017, No.21, pp 229-233