Literature DB >> 29065943

Invited review: The evolution of cattle bioacoustics and application for advanced dairy systems.

A C Green1, I N Johnston2, C E F Clark1.   

Abstract

Vocalisations are commonly expressed by gregarious animals, including cattle, as a form of short- and long-distance communication. They can provide conspecifics with meaningful information about the physiology, affective state and physical attributes of the caller. In cattle, calls are individually distinct meaning they assist animals to identify specific individuals in the herd. Consequently, there is potential for these vocalisations to be acoustically analysed to make inferences about how individual animals or herds are coping with their external surroundings, and then act on these signals to improve feed conversion efficiency, reproductive efficiency and welfare. In the case of dairy farming, where herd sizes are expanding and farmers are becoming more reliant on technologies to assist in the monitoring of cattle, the study of vocal behaviour could provide an objective, cost effective and non-invasive alternative to traditional measures of welfare. The vocalisations of cattle in response to calf separation, social isolation and painful husbandry procedures, alongside changes to feeding and oestrous activity are here reviewed. For future application of sound technology, research is first necessary to analyse the acoustic structure of cattle vocalisations and determine the specific information they encode. This review draws together the latest research in field of cattle bioacoustics highlighting how the source-filter theory and affective state dimensional approach can be adopted to decode this information and improve on-farm management.

Entities:  

Keywords:  cattle welfare; sound analysis; source–filter theory; vocal communication

Mesh:

Year:  2017        PMID: 29065943     DOI: 10.1017/S1751731117002646

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  6 in total

1.  Automated bioacoustics: methods in ecology and conservation and their potential for animal welfare monitoring.

Authors:  Michael P Mcloughlin; Rebecca Stewart; Alan G McElligott
Journal:  J R Soc Interface       Date:  2019-06-19       Impact factor: 4.118

2.  Automated identification of chicken distress vocalizations using deep learning models.

Authors:  Axiu Mao; Claire S E Giraudet; Kai Liu; Inês De Almeida Nolasco; Zhiqin Xie; Zhixun Xie; Yue Gao; James Theobald; Devaki Bhatta; Rebecca Stewart; Alan G McElligott
Journal:  J R Soc Interface       Date:  2022-06-29       Impact factor: 4.293

3.  The effect of rearing conditions during the milk-fed period on milk yield, growth, and maze behaviour of dairy cows during their first lactation.

Authors:  Jan Broucek; Michal Uhrincat; Peter Kisac; Anton Hanus
Journal:  Arch Anim Breed       Date:  2021-02-23

4.  Vocal individuality of Holstein-Friesian cattle is maintained across putatively positive and negative farming contexts.

Authors:  Alexandra Green; Cameron Clark; Livio Favaro; Sabrina Lomax; David Reby
Journal:  Sci Rep       Date:  2019-12-05       Impact factor: 4.379

5.  Convolutional Neural Networks for the Identification of African Lions from Individual Vocalizations.

Authors:  Martino Trapanotto; Loris Nanni; Sheryl Brahnam; Xiang Guo
Journal:  J Imaging       Date:  2022-04-01

6.  Systematic review of animal-based indicators to measure thermal, social, and immune-related stress in pigs.

Authors:  Raúl David Guevara; Jose J Pastor; Xavier Manteca; Gemma Tedo; Pol Llonch
Journal:  PLoS One       Date:  2022-05-05       Impact factor: 3.752

  6 in total

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