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Tech-Savvy Beef Cattle? How Heifers Respond to Moving Virtual Fence Lines

SIMPLE SUMMARY: Physical fences are not always possible, thus automated technology called “virtual fencing” provides a potential solution. Virtual fencing uses Global Positioning System (GPS) technology and animals wear collar devices. As animals approach the virtual fence line, the collar emits an...

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Autores principales: Campbell, Dana L. M., Lea, Jim M., Farrer, William J., Haynes, Sally J., Lee, Caroline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5615303/
https://www.ncbi.nlm.nih.gov/pubmed/28926989
http://dx.doi.org/10.3390/ani7090072
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author Campbell, Dana L. M.
Lea, Jim M.
Farrer, William J.
Haynes, Sally J.
Lee, Caroline
author_facet Campbell, Dana L. M.
Lea, Jim M.
Farrer, William J.
Haynes, Sally J.
Lee, Caroline
author_sort Campbell, Dana L. M.
collection PubMed
description SIMPLE SUMMARY: Physical fences are not always possible, thus automated technology called “virtual fencing” provides a potential solution. Virtual fencing uses Global Positioning System (GPS) technology and animals wear collar devices. As animals approach the virtual fence line, the collar emits an audio tone; if the animals walk further forward, they receive an electrical stimulus. If the animal turns around after the audio tone, they receive no electrical stimulus. However, no studies to date have looked at how animals respond when virtual fences have moved to different paddock locations. Virtual boundaries were set up to restrict six beef cattle wearing collars to different paddock areas. Within a few days, the animals were able to avoid the electrical stimulus by learning to turn away from the fence when they heard the audio tone. Over several weeks, the virtual fence was moved to three different locations within the paddock, and the animals rapidly learned it had moved, turning away at the audio tone the majority of the time. This shows that animals can learn the different collar signals and avoid moving virtual boundaries via the audio tone. The application of virtual fencing to farms enables improved animal management and animal exclusion from environmentally sensitive areas. ABSTRACT: Global Positioning System (GPS)-based virtual fences offer the potential to improve the management of grazing animals. Prototype collar devices utilising patented virtual fencing algorithms were placed on six Angus heifers in a 6.15 hectare paddock. After a “no fence” period, sequential, shifting virtual fences restricted the animals to 40%, 60%, and 80% of the paddock area widthways and 50% lengthways across 22 days. Audio cues signaled the virtual boundary, and were paired with electrical stimuli if the animals continued forward into the boundary. Within approximately 48 h, the cattle learned the 40% fence and were henceforth restricted to the subsequent inclusion zones a minimum of 96.70% (±standard error 0.01%) of the time. Over time, the animals increasingly stayed within the inclusion zones using audio cues alone, and on average, approached the new fence within 4.25 h. The animals were thus attentive to the audio cue, not the fence location. The time spent standing and lying and the number of steps were similar between inclusion zones (all p ≥ 0.42). More lying bouts occurred at the 80% and lengthways inclusion zones relative to “no fence” (p = 0.04). Further research should test different cattle groups in variable paddock settings and measure physiological welfare responses to the virtual fencing stimuli.
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spelling pubmed-56153032017-09-28 Tech-Savvy Beef Cattle? How Heifers Respond to Moving Virtual Fence Lines Campbell, Dana L. M. Lea, Jim M. Farrer, William J. Haynes, Sally J. Lee, Caroline Animals (Basel) Article SIMPLE SUMMARY: Physical fences are not always possible, thus automated technology called “virtual fencing” provides a potential solution. Virtual fencing uses Global Positioning System (GPS) technology and animals wear collar devices. As animals approach the virtual fence line, the collar emits an audio tone; if the animals walk further forward, they receive an electrical stimulus. If the animal turns around after the audio tone, they receive no electrical stimulus. However, no studies to date have looked at how animals respond when virtual fences have moved to different paddock locations. Virtual boundaries were set up to restrict six beef cattle wearing collars to different paddock areas. Within a few days, the animals were able to avoid the electrical stimulus by learning to turn away from the fence when they heard the audio tone. Over several weeks, the virtual fence was moved to three different locations within the paddock, and the animals rapidly learned it had moved, turning away at the audio tone the majority of the time. This shows that animals can learn the different collar signals and avoid moving virtual boundaries via the audio tone. The application of virtual fencing to farms enables improved animal management and animal exclusion from environmentally sensitive areas. ABSTRACT: Global Positioning System (GPS)-based virtual fences offer the potential to improve the management of grazing animals. Prototype collar devices utilising patented virtual fencing algorithms were placed on six Angus heifers in a 6.15 hectare paddock. After a “no fence” period, sequential, shifting virtual fences restricted the animals to 40%, 60%, and 80% of the paddock area widthways and 50% lengthways across 22 days. Audio cues signaled the virtual boundary, and were paired with electrical stimuli if the animals continued forward into the boundary. Within approximately 48 h, the cattle learned the 40% fence and were henceforth restricted to the subsequent inclusion zones a minimum of 96.70% (±standard error 0.01%) of the time. Over time, the animals increasingly stayed within the inclusion zones using audio cues alone, and on average, approached the new fence within 4.25 h. The animals were thus attentive to the audio cue, not the fence location. The time spent standing and lying and the number of steps were similar between inclusion zones (all p ≥ 0.42). More lying bouts occurred at the 80% and lengthways inclusion zones relative to “no fence” (p = 0.04). Further research should test different cattle groups in variable paddock settings and measure physiological welfare responses to the virtual fencing stimuli. MDPI 2017-09-18 /pmc/articles/PMC5615303/ /pubmed/28926989 http://dx.doi.org/10.3390/ani7090072 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Campbell, Dana L. M.
Lea, Jim M.
Farrer, William J.
Haynes, Sally J.
Lee, Caroline
Tech-Savvy Beef Cattle? How Heifers Respond to Moving Virtual Fence Lines
title Tech-Savvy Beef Cattle? How Heifers Respond to Moving Virtual Fence Lines
title_full Tech-Savvy Beef Cattle? How Heifers Respond to Moving Virtual Fence Lines
title_fullStr Tech-Savvy Beef Cattle? How Heifers Respond to Moving Virtual Fence Lines
title_full_unstemmed Tech-Savvy Beef Cattle? How Heifers Respond to Moving Virtual Fence Lines
title_short Tech-Savvy Beef Cattle? How Heifers Respond to Moving Virtual Fence Lines
title_sort tech-savvy beef cattle? how heifers respond to moving virtual fence lines
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5615303/
https://www.ncbi.nlm.nih.gov/pubmed/28926989
http://dx.doi.org/10.3390/ani7090072
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