Literature DB >> 25447478

Review: Quantifying animal feeding behaviour with a focus on pigs.

Jarissa Maselyne1, Wouter Saeys2, Annelies Van Nuffel3.   

Abstract

The study of animal feeding behaviour is of interest to understand feeding, to investigate the effect of treatments and conditions or to predict illness. This paper reviews the different steps to undertake when studying animal feeding behaviour, with illustrations for group-housed pigs. First, one must be aware of the mechanisms that control feeding and the various influences that can change feeding behaviour. Satiety is shown to largely influence free feeding (ad libitum and without an operant condition) in animals, but 'free' feeding seems a very fragile process, given the many factors that can influence feeding behaviour. Second, a measurement method must be chosen that is compatible with the goal of the research. Several measurement methods exist, which lead to different experimental set-ups and measurement data. Sensors are available for lab conditions, for research on group-housed pigs and also for on-farm use. Most of these methods result in a record of feeding visits. However, these feeding visits are often found to be clustered into meals. Thus, the third step is to choose which unit of feeding behaviour to use for analysis. Depending on the situation, either meals, feeding visits, other raw data, or a combination thereof can be suitable. Meals are more appropriate for analysing short-term feeding behaviour, but this may not be true for disease detection. Further research is therefore needed. To cluster visits into meals, an appropriate analysis method has to be selected. The last part of this paper provides a review and discussion of the existing methods for meal determination. A variety of methods exist, with the most recent methods based on the influence of satiety on feeding. More thorough validation of the recent methods, including validation from a behavioural point of view and uniformity in the applied methods is therefore necessary.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Feeding behaviour; Meal; Methodology; Pig; Sensor; Visit

Mesh:

Year:  2014        PMID: 25447478     DOI: 10.1016/j.physbeh.2014.09.012

Source DB:  PubMed          Journal:  Physiol Behav        ISSN: 0031-9384


  12 in total

1.  Brain Mass and Encephalization Quotients in the Domestic Industrial Pig (Sus scrofa).

Authors:  Serena Minervini; Gianluca Accogli; Andrea Pirone; Jean-Marie Graïc; Bruno Cozzi; Salvatore Desantis
Journal:  PLoS One       Date:  2016-06-28       Impact factor: 3.240

Review 2.  Early detection of health and welfare compromises through automated detection of behavioural changes in pigs.

Authors:  Stephen G Matthews; Amy L Miller; James Clapp; Thomas Plötz; Ilias Kyriazakis
Journal:  Vet J       Date:  2016-09-28       Impact factor: 2.688

3.  Exploring the genetics of feed efficiency and feeding behaviour traits in a pig line highly selected for performance characteristics.

Authors:  Henry Reyer; Mahmoud Shirali; Siriluck Ponsuksili; Eduard Murani; Patrick F Varley; Just Jensen; Klaus Wimmers
Journal:  Mol Genet Genomics       Date:  2017-05-12       Impact factor: 3.291

4.  The influence of feeding behaviour on growth performance, carcass and meat characteristics of growing pigs.

Authors:  Giuseppe Carcò; Luigi Gallo; Mirco Dalla Bona; Maria Angeles Latorre; Manuel Fondevila; Stefano Schiavon
Journal:  PLoS One       Date:  2018-10-15       Impact factor: 3.240

5.  How to quantify animal activity from radio-frequency identification (RFID) recordings.

Authors:  Arne Iserbyt; Maaike Griffioen; Benny Borremans; Marcel Eens; Wendt Müller
Journal:  Ecol Evol       Date:  2018-10-02       Impact factor: 2.912

Review 6.  Welfare Health and Productivity in Commercial Pig Herds.

Authors:  Przemysław Racewicz; Agnieszka Ludwiczak; Ewa Skrzypczak; Joanna Składanowska-Baryza; Hanna Biesiada; Tomasz Nowak; Sebastian Nowaczewski; Maciej Zaborowicz; Marek Stanisz; Piotr Ślósarz
Journal:  Animals (Basel)       Date:  2021-04-20       Impact factor: 2.752

7.  Automated tracking to measure behavioural changes in pigs for health and welfare monitoring.

Authors:  Stephen G Matthews; Amy L Miller; Thomas PlÖtz; Ilias Kyriazakis
Journal:  Sci Rep       Date:  2017-12-14       Impact factor: 4.379

8.  The genetic basis of novel water utilisation and drinking behaviour traits and their relationship with biological performance in turkeys.

Authors:  Julija Rusakovica; Valentin D Kremer; Thomas Plötz; Paige Rohlf; Ilias Kyriazakis
Journal:  Genet Sel Evol       Date:  2017-09-29       Impact factor: 4.297

9.  A Spatiotemporal Convolutional Network for Multi-Behavior Recognition of Pigs.

Authors:  Dan Li; Kaifeng Zhang; Zhenbo Li; Yifei Chen
Journal:  Sensors (Basel)       Date:  2020-04-22       Impact factor: 3.576

Review 10.  Methodologies for Assessing Disease Tolerance in Pigs.

Authors:  Dimitar Nakov; Slavcha Hristov; Branislav Stankovic; Françoise Pol; Ivan Dimitrov; Vlatko Ilieski; Pierre Mormede; Julie Hervé; Elena Terenina; Blandine Lieubeau; Dimitrios K Papanastasiou; Thomas Bartzanas; Tomas Norton; Deborah Piette; Emanuela Tullo; Ingrid D E van Dixhoorn
Journal:  Front Vet Sci       Date:  2019-01-09
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