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

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          Abstract

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          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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          Most cited references19

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          In pursuit of “normal”: A review of the behaviour of cattle at pasture

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            The effects of feed restriction and lying deprivation on pituitary–adrenal axis regulation in lactating cows

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              The evolution of virtual fences: A review

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                Author and article information

                Journal
                Animals (Basel)
                Animals (Basel)
                animals
                Animals : an Open Access Journal from MDPI
                MDPI
                2076-2615
                18 September 2017
                September 2017
                : 7
                : 9
                : 72
                Affiliations
                [1 ]Agriculture and Food, CSIRO, New England Highway, Armidale, NSW 2350, Australia; jim.lea@ 123456csiro.au (J.M.L.); caroline.lee@ 123456csiro.au (C.L.)
                [2 ]Agersens, Pty Ltd., Melbourne, VIC 3000, Australia; will.farrer@ 123456agersens.com (W.J.F.); shaynes@ 123456agersens.com (S.J.H.)
                Author notes
                [* ]Correspondence: dana.campbell@ 123456csiro.au ; Tel.: +61-2-6776-1347
                Article
                animals-07-00072
                10.3390/ani7090072
                5615303
                28926989
                873249f2-6dc3-41e4-8ae0-b8178784d05e
                © 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/).

                History
                : 03 August 2017
                : 14 September 2017
                Categories
                Article

                gps,technology,welfare,associative learning,activity,behavioural patterns

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