@article {3672,
	title = {Technical note: A comparison of editing criteria for lying-behaviour data derived from three-dimensional accelerometer devices on grazing dairy cows},
	journal = {New Zealand Journal of Animal Science and Production},
	volume = {80},
	year = {2020},
	month = {09/2020},
	pages = {8-13},
	address = {Online},
	abstract = {Shorter, more-frequent lying bouts (LB) could be used to predict calving and as an indicator of animal discomfort and ill-health. In
this technical study, we reviewed the literature to describe criteria for removing false short LB, caused by minor movements, from
accelerometer data using IceRobotics technology. Using an existing dataset of grazing cows, we compared unedited with edited
accelerometer data after applying three different LB thresholds (LB <33 s, <=2 min, and <4 min were removed) within IceQube
and IceTag accelerometers. Daily lying time, LB (no./d) and LB duration were derived from either IceQube or IceTag devices
for 146 and 159 multiparous cows, respectively. Very-short LB were more common in IceTag than IceQube data. Applying a
shorter LB criterion (<33 s) to the IceQube dataset produced minimal differences between unedited (8.8{\textpm}3.6 no./d; n=64,512 lying
records) and edited data (8.3{\textpm}3.4 no./d; n=60,463). In contrast, we observed large differences between unedited (307{\textpm}293 no./d;
n=2,305,693) and edited data (8.8{\textpm}4.1 no./d; n=66,139) when a longer LB criterion (<=2 min) was applied to the IceTag dataset.
Removing short LB that are unlikely to represent true behaviour will improve the interpretation of lying behaviour data; however,
prospective studies are needed to determine the most-suitable LB criterion.

Keywords: lying behaviour; grazing cows; accelerometer},
	issn = {1176-5283},
	author = {Hendriks SJ and Phyn CVC and Turner S-A and Mueller KR and Kuhn-Sherlock B and Donaghy DJ and Huzzey JM and Roche JR}
}
