Literature DB >> 22551186

Detection of feeding behaviour in common carp Cyprinus carpio by using an acceleration data logger to identify mandibular movement.

Y Makiguchi1, Y Sugie, T Kojima, Y Naito.   

Abstract

Miniaturized acceleration data loggers were attached to the lower mandible of common carp Cyprinus carpio to remotely identify feeding behaviour. Whether the acceleration signal could distinguish the quantity and quality of food was also investigated. The frequency and amplitude of the lower mandible stroke, calculated from surging acceleration determined by continuous wavelet transformation, significantly increased during the feeding period compared to that during the non-feeding period. These characteristic movement patterns were maintained for mean ±s.e. 187·3 ± 38·2 s when the fish were fed a single item of food and for mean ±s.e. 419·3 ± 28·6 s when they consumed multiple items. The dominant cycle and amplitude calculated according to feeding event duration, however, did not differ significantly between the two types of diets the fish consumed. Surging acceleration could detect mean ±s.e. 89·8 ± 13·5% of feeding events, although the false detection rate was mean ±s.e. 25·9 ± 10·9%. The results indicate that the mandible acceleration measurement method could be utilized to detect and record the feeding events in fishes that use a suction feeding mode similar to C. carpio.
© 2012 The Authors. Journal of Fish Biology © 2012 The Fisheries Society of the British Isles.

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Year:  2012        PMID: 22551186     DOI: 10.1111/j.1095-8649.2012.03293.x

Source DB:  PubMed          Journal:  J Fish Biol        ISSN: 0022-1112            Impact factor:   2.051


  3 in total

1.  Sperm allocation in relation to female size in a semelparous salmonid.

Authors:  Yuya Makiguchi; Masaki Ichimura; Takenori Kitayama; Yuuki Kawabata; Takashi Kitagawa; Takahito Kojima; Trevor E Pitcher
Journal:  R Soc Open Sci       Date:  2016-12-14       Impact factor: 2.963

2.  Development and application of a machine learning algorithm for classification of elasmobranch behaviour from accelerometry data.

Authors:  L R Brewster; J J Dale; T L Guttridge; S H Gruber; A C Hansell; M Elliott; I G Cowx; N M Whitney; A C Gleiss
Journal:  Mar Biol       Date:  2018-03-08       Impact factor: 2.573

3.  Monitoring escape and feeding behaviours of cruiser fish by inertial and magnetic sensors.

Authors:  Takuji Noda; Yuuki Kawabata; Nobuaki Arai; Hiromichi Mitamura; Shun Watanabe
Journal:  PLoS One       Date:  2013-11-13       Impact factor: 3.240

  3 in total

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