Board-invited review: Using behavior to predict and identify ill health in animals.
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Lameness Detection in Dairy Cows: Part 2. Use of Sensors to Automatically Register Changes in Locomotion or BehaviorLameness Detection in Dairy Cows: Part 1. How to Distinguish between Non-Lame and Lame Cows Based on Differences in Locomotion or BehaviorCalling by domestic piglets during simulated crushing and isolation: a signal of need?Disease behaviours of sows naturally infected with Taenia solium in TanzaniaMoving GIS research indoors: spatiotemporal analysis of agricultural animals.Exposures to conditioned flavours with different hedonic values induce contrasted behavioural and brain responses in pigs.Pharmacokinetics and effect of intravenous meloxicam in weaned Holstein calves following scoop dehorning without local anesthesia.Fractal analysis of behaviour in a wild primate: behavioural complexity in health and disease.Movement Behaviour of Traditionally Managed Cattle in the Eastern Province of Zambia Captured Using Two-Dimensional Motion Sensors.Locomotion Disorders and Skin and Claw Lesions in Gestating Sows Housed in Dynamic versus Static GroupsMonitoring Activity for Recognition of Illness in Experimentally Infected Weaned Piglets Using Received Signal Strength Indication ZigBee-based Wireless Acceleration Sensor.Pain and sickness behavior associated with corneal lesions in dairy calvesHormonal and behavioral changes induced by acute and chronic experimental infestation with Psoroptes cuniculi in the domestic rabbit Oryctolagus cuniculusComparative ecophysiology of a critically endangered (CR) ectotherm: Implications for conservation management.Exploring the genetics of feed efficiency and feeding behaviour traits in a pig line highly selected for performance characteristics.Porcine lie detectors: Automatic quantification of posture state and transitions in sows using inertial sensorsRelationship of the extent of pulmonary lesions to the partial pressure of oxygen and the lactate concentration in arterial blood in calves experimentally infected with bovine respiratory syncytial virus.Automated tracking to measure behavioural changes in pigs for health and welfare monitoring.Scientific Opinion on the use of animal-based measures to assess welfare of dairy cowsShortening of an existing generic online health-related quality of life instrument for dogs.Predicting Lameness in Sheep Activity Using Tri-Axial Acceleration Signals.Assessing mouse behaviour throughout the light/dark cycle using automated in-cage analysis tools.Effect of oral KETOPROFEN treatment in acute respiratory disease outbreaks in finishing pigs.Sickness behaviour associated with non-lethal infections in wild primates.Changes in physiological stress and behaviour in semi-free-ranging red-capped mangabeys (Cercocebus torquatus) following antiparasitic treatment.Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device.Evidence of ‘sickness behaviour’ in bats with white-nose syndromeUrinary neopterin levels increase and predict survival during a respiratory outbreak in wild chimpanzees (Taï National Park, Côte d'Ivoire)
P2860
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P2860
Board-invited review: Using behavior to predict and identify ill health in animals.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 24 October 2008
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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Board-invited review: Using behavior to predict and identify ill health in animals.
@en
Board-invited review: Using behavior to predict and identify ill health in animals.
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type
label
Board-invited review: Using behavior to predict and identify ill health in animals.
@en
Board-invited review: Using behavior to predict and identify ill health in animals.
@nl
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Board-invited review: Using behavior to predict and identify ill health in animals.
@en
Board-invited review: Using behavior to predict and identify ill health in animals.
@nl
P2093
P356
P1476
Board-invited review: Using behavior to predict and identify ill health in animals.
@en
P2093
J M Huzzey
M A G von Keyserlingk
P304
P356
10.2527/JAS.2008-1297
P407
P577
2008-10-24T00:00:00Z