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Food, fibre and pharmaceuticals from animals
RESEARCH ARTICLE (Open Access)

Comparison of virtually fencing and electrically fencing sheep for pasture management

Danila Marini https://orcid.org/0000-0002-1082-6848 A * , Fran Cowley https://orcid.org/0000-0002-6475-1503 A , Sue Belson B and Caroline Lee A B
+ Author Affiliations
- Author Affiliations

A School of Environmental and Rural Science, University of New England, Armidale, NSW 2350, Australia.

B CSIRO, Agriculture and Food, Locked Bag 1, Armidale, NSW 2350, Australia.

* Correspondence to: danila.marini@csiro.au

Handling Editor: Cara Wilson

Animal Production Science - https://doi.org/10.1071/AN21459
Submitted: 8 September 2021  Accepted: 19 January 2022   Published online: 28 February 2022

© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Context: Virtual fencing technology has potential for application in intensive grazing management. However, it is unknown whether the presence of the virtual fence will affect the grazing behaviour of sheep under intensive grazing situations.

Aims: This study compared pasture consumption by sheep when pasture access is restricted using either a virtual fence (n = 12) or a conventional electric fence (n = 12), tested over three cohorts.

Methods: The sheep were given access to a small section of pasture (8 × 8 m) for approximately 4 h, over a total of 4 days of grazing, being moved onto a fresh plot each day. Within the grazing plot, average pasture dry matter, normalised difference vegetation index (NDVI), and rising plate meter (RPM) height, were measured before and after grazing. NDVI and RPM height were also measured along the fence line before and after grazing.

Key results: For within plot measures, there was no effect of treatment on biomass (P = 0.42), pasture height (P = 0.69) or NDVI (P = 0.72). The same was observed for measures taken at the fence line. The results of this study indicated that using a virtual fence to restrict access to pasture to create targeted grazing is as effective as using an electric fence.

Conclusions: The similarity in pasture consumption between the groups indicated that the virtual fence does not affect normal grazing behaviour of sheep, nor discourage them from grazing up to the fence line. Further work should be conducted in larger flocks and using automated systems.

Implications: Virtual fencing has the potential to be used to restrict sheep access to pasture to create targeted grazing that is as effective as is using an electric fence.

Keywords: electric fencing, grazing management, intensive rotational grazing, livestock management, precision agriculture, pasture utilisation, sheep, virtual fencing.


References

Bell LW, Moore AD, Kirkegaard JA (2014) Evolution in crop–livestock integration systems that improve farm productivity and environmental performance in Australia. European Journal of Agronomy 57, 10–20.
Evolution in crop–livestock integration systems that improve farm productivity and environmental performance in Australia.Crossref | GoogleScholarGoogle Scholar |

Brunberg EI, Bøe KE, Sørheim KM (2016) Testing a new virtual fencing system on sheep. Acta Agriculturae Scandinavica, Section A – Animal Science 65, 168–175.
Testing a new virtual fencing system on sheep.Crossref | GoogleScholarGoogle Scholar |

Brunberg EI, Bergslid IK, Bøe KE, Sørheim KM (2017) The ability of ewes with lambs to learn a virtual fencing system. Animal 11, 2045–2050.
The ability of ewes with lambs to learn a virtual fencing system.Crossref | GoogleScholarGoogle Scholar | 28490388PubMed |

Campbell D, Lea J, Farrer W, Haynes S, Lee C (2017) Tech-savvy beef cattle? How heifers respond to moving virtual fence lines. Animals 7, 72
Tech-savvy beef cattle? How heifers respond to moving virtual fence lines.Crossref | GoogleScholarGoogle Scholar |

Campbell DLM, Lea JM, Haynes SJ, Farrer WJ, Leigh-Lancaster CJ, Lee C (2018) Virtual fencing of cattle using an automated collar in a feed attractant trial. Applied Animal Behaviour Science 200, 71–77.
Virtual fencing of cattle using an automated collar in a feed attractant trial.Crossref | GoogleScholarGoogle Scholar |

Campbell DLM, Haynes SJ, Lea JM, Farrer WJ, Lee C (2019a) Temporary exclusion of cattle from a riparian zone using virtual fencing technology. Animals 9, 5
Temporary exclusion of cattle from a riparian zone using virtual fencing technology.Crossref | GoogleScholarGoogle Scholar |

Campbell DLM, Lea JM, Keshavarzi H, Lee C (2019b) Virtual fencing is comparable to electric tape fencing for cattle behavior and welfare. Frontiers in Veterinary Science 6,
Virtual fencing is comparable to electric tape fencing for cattle behavior and welfare.Crossref | GoogleScholarGoogle Scholar | 31921906PubMed |

Campbell DLM, Ouzman J, Mowat D, Lea JM, Lee C, Llewellyn RS (2020) Virtual fencing technology excludes beef cattle from an environmentally sensitive area. Animals 10, 1069
Virtual fencing technology excludes beef cattle from an environmentally sensitive area.Crossref | GoogleScholarGoogle Scholar |

Colvin AF, Walkden-Brown SW, Knox MR, Scott JM (2008) Intensive rotational grazing assists control of gastrointestinal nematodosis of sheep in a cool temperate environment with summer-dominant rainfall. Veterinary Parasitology 153, 108–120.
Intensive rotational grazing assists control of gastrointestinal nematodosis of sheep in a cool temperate environment with summer-dominant rainfall.Crossref | GoogleScholarGoogle Scholar | 18339483PubMed |

Francia E, Pecchioni N, Destri Nicosia OL, Paoletta G, Taibi L, Franco V, Odoardi M, Stanca AM, Delogu G (2006) Dual-purpose barley and oat in a Mediterranean environment. Field Crops Research 99, 158–166.
Dual-purpose barley and oat in a Mediterranean environment.Crossref | GoogleScholarGoogle Scholar |

Gygax L (2014) The A to Z of statistics for testing cognitive judgement bias 12. Animal Behaviour 95, 59–69.
The A to Z of statistics for testing cognitive judgement bias 12.Crossref | GoogleScholarGoogle Scholar |

Hanna MM, Steyn-Ross DA, Steyn-Ross M (1999) Estimating biomass for New Zealand pasture using optical remote sensing techniques. Geocarto International 14, 89–94.
Estimating biomass for New Zealand pasture using optical remote sensing techniques.Crossref | GoogleScholarGoogle Scholar |

Jouven M, Leroy H, Ickowicz A, Lapeyronie P (2012) Can virtual fences be used to control grazing sheep? The Rangeland Journal 34, 111–123.
Can virtual fences be used to control grazing sheep?Crossref | GoogleScholarGoogle Scholar |

Langworthy AD, Verdon M, Freeman MJ, Corkrey R, Hills JL, Rawnsley RP (2021) Virtual fencing technology to intensively graze lactating dairy cattle. I: technology efficacy and pasture utilization. Journal of Dairy Science 104, 7071–7083.
Virtual fencing technology to intensively graze lactating dairy cattle. I: technology efficacy and pasture utilization.Crossref | GoogleScholarGoogle Scholar | 33814143PubMed |

Lee C, Campbell DLM (2021) A multi-disciplinary approach to assess the welfare impacts of a new virtual fencing technology. Frontiers in Veterinary Science 8,
A multi-disciplinary approach to assess the welfare impacts of a new virtual fencing technology.Crossref | GoogleScholarGoogle Scholar | 34621808PubMed |

Lee C, Colditz IG, Campbell DLM (2018) A framework to assess the impact of new animal management technologies on welfare: a case study of virtual fencing. Frontiers in Veterinary Science 5,
A framework to assess the impact of new animal management technologies on welfare: a case study of virtual fencing.Crossref | GoogleScholarGoogle Scholar | 30186841PubMed |

Llewellyn R, Monjardino M, Moodie M, Trotter M, Economou Z (2017) Spatial grazing in mixed farming systems: the potential for virtual fencing. In ‘Doing More with Less, Proceedings of the 18th Australian Society of Agronomy Conference, Ballarat, Vic., Australia, 24–28 September 2017’. (Eds GJ O’Leary, RD Armstrong, L Hafner). (Australian Society of Agronomy)

Lomax S, Colusso P, Clark CEF (2019) Does virtual fencing work for grazing dairy cattle? Animals 9, 429
Does virtual fencing work for grazing dairy cattle?Crossref | GoogleScholarGoogle Scholar |

Marini D, Llewellyn R, Belson S, Lee C (2018a) Controlling within-field sheep movement using virtual fencing. Animals 8, 31
Controlling within-field sheep movement using virtual fencing.Crossref | GoogleScholarGoogle Scholar |

Marini D, Meuleman M, Belson S, Rodenburg T, Llewellyn R, Lee C (2018b) Developing an ethically acceptable virtual fencing system for sheep. Animals 8, 33
Developing an ethically acceptable virtual fencing system for sheep.Crossref | GoogleScholarGoogle Scholar |

Marini D, Cowley F, Belson S, Lee C (2019) The importance of an audio cue warning in training sheep to a virtual fence and differences in learning when tested individually or in small groups. Applied Animal Behaviour Science 221, 104862
The importance of an audio cue warning in training sheep to a virtual fence and differences in learning when tested individually or in small groups.Crossref | GoogleScholarGoogle Scholar |

Marini D, Kearton T, Ouzman J, Llewellyn R, Belson S, Lee C (2020) Social influence on the effectiveness of virtual fencing in sheep. PeerJ 8, e10066
Social influence on the effectiveness of virtual fencing in sheep.Crossref | GoogleScholarGoogle Scholar | 33062448PubMed |

McSweeney D, O’Brien B, Coughlan NE, Férard A, Ivanov S, Halton P, Umstatter C (2020) Virtual fencing without visual cues: design, difficulties of implementation, and associated dairy cow behaviour. Computers and Electronics in Agriculture 176, 105613
Virtual fencing without visual cues: design, difficulties of implementation, and associated dairy cow behaviour.Crossref | GoogleScholarGoogle Scholar |

Morris ST (2009) Economics of sheep production. Small Ruminant Research 86, 59–62.
Economics of sheep production.Crossref | GoogleScholarGoogle Scholar |

Morris ST (2017) Overview of sheep production systems. In ‘Advances in sheep welfare’. (Eds DM Ferguson, C Lee, A Fisher) pp. 19–35. (Woodhead Publishing)

Nie Z, McLean T, Clough A, Tocker J, Christy B, Harris R, Riffkin P, Clark S, McCaskill M (2016) Benefits, challenges and opportunities of integrated crop-livestock systems and their potential application in the high rainfall zone of southern Australia: a review. Agriculture, Ecosystems & Environment 235, 17–31.
Benefits, challenges and opportunities of integrated crop-livestock systems and their potential application in the high rainfall zone of southern Australia: a review.Crossref | GoogleScholarGoogle Scholar |

Pinheiro J, Bates D, DebRoy S, Sarkar D, R-core Team (2018) nlme: linear and nonlinear mixed effects models. R package version 3. Available at http://cran.r-project.org/web/packages/nlme/

Savian JV, Schons RMT, Marchi DE, de Freitas TS, da Silva Neto GF, Mezzalira JC, Berndt A, Bayer C, de Faccio Carvalho PC (2018) Rotatinuous stocking: a grazing management innovation that has high potential to mitigate methane emissions by sheep. Journal of Cleaner Production 186, 602–608.
Rotatinuous stocking: a grazing management innovation that has high potential to mitigate methane emissions by sheep.Crossref | GoogleScholarGoogle Scholar |

Srivastav RK, Schardong A, Simonovic SP (2014) Equidistance quantile matching method for updating IDFCurves under climate change. Water Resources Management 28, 2539–2562.
Equidistance quantile matching method for updating IDFCurves under climate change.Crossref | GoogleScholarGoogle Scholar |

Trotter MG, Lamb DW, Donald GE, Schneider DA (2010) Evaluating an active optical sensor for quantifying and mapping green herbage mass and growth in a perennial grass pasture. Crop & Pasture Science 61, 389–398.
Evaluating an active optical sensor for quantifying and mapping green herbage mass and growth in a perennial grass pasture.Crossref | GoogleScholarGoogle Scholar |