Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 529896
Title Phenolab: ultra-wide band tracking of individual group housed laying hens
Author(s) Haas, E.N. de; Eijk, J.A.J. van der; Nieuwe Weme, L.E.; Mil, B. van; Rodenburg, T.B.
Source In: Proceedings of the 7th International Conference on the Assessment of Animal Welfare at Farm and Group Level. - Wageningen : Wageningen Academic Publishers - ISBN 9789086863143 - p. 260 - 260.
Event Wageningen : Wageningen Academic Publishers - ISBN 9789086863143 7th International Conference on the Assessment of Animal Welfare at Farm and Group level, Ede, 2017-09-05/2017-09-08
Department(s) Behavioural Ecology
Adaptation Physiology
WIAS
Publication type Abstract in scientific journal or proceedings
Publication year 2017
Abstract Farm animals are generally kept in groups of varying sizes. It is challenging to monitor thebehaviour of individual animals when they are housed in a group. To aid to this need, we havetested an innovative new automatic sensor technology which can track individuals in a group.With the use of this ultra-wide band tracking device and recording beacons, we were able totrack individual laying hens in an equipped arena (project PhenoLab). Hens had an activesending tag in a backpack. Every 30 s location of each tag was recorded. TrackLab softwareprovided distance moved and movement patterns based on location data. With this set-up,we tested if we could detect differences between birds who feather peck and victims of thebehaviour. We used a White Leghorn line selected on high feather pecking for 11 generations.Prior to tracking, home pen observations were made to record who was the feather peckerand who was the victim based on giving or receiving more than 2 severe FP per 0.5 h summedover observation times. FP data was obtained weekly from a 15 min video-recording from at28 and 29 weeks of age. Independent t-test was performed for comparison. At 37 weeks of agehens were tested inside a 8×7 m empty test-room with their pen-mates for 15 minutes. Featherpeckers tended to walk a greater distance (t15=1.89, P=0.07; 9,286±1,660 vs 5,251±1,361 cm)and had a higher average speed when moving (t15=2.62, P=0.02; 9.5±1 vs 5.5±1.1 m/s2) thanvictims. These results indicate that with automatic locomotor data differences in behaviouraltraits of individual birds can be detected, which affect welfare on a group level. Moreover, thesystem could be used to predict changes in activity patterns and detect individuals that haveor will perform damaging behaviour.
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