Evidence map›Paper›PMID 33330702›Full record

ArticleFrontiers in veterinary science2020

The Influence of Predictability and Controllability on Stress Responses to the Aversive Component of a Virtual Fence.

Tellisa Kearton, Danila Marini, Frances Cowley, Sue Belson, Hamideh Keshavarzi, Bonnie Mayes, Caroline Lee

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.9field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  3. Animal affect, welfare and the Bayesian brain.Animal welfare (South Mimms, England) · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Tellisa KeartonSchool of Environmental and Rural Science, University of New England, Armidale, NSW, Australia.
Danila MariniSchool of Environmental and Rural Science, University of New England, Armidale, NSW, Australia.
Frances CowleySchool of Environmental and Rural Science, University of New England, Armidale, NSW, Australia.
Sue BelsonAgriculture and Food, Commonwealth Scientific and Industrial Research Organization, Armidale, NSW, Australia.
Hamideh KeshavarziAgriculture and Food, Commonwealth Scientific and Industrial Research Organization, Armidale, NSW, Australia.
Bonnie MayesSchool of Environmental and Rural Science, University of New England, Armidale, NSW, Australia.
Caroline LeeSchool of Environmental and Rural Science, University of New England, Armidale, NSW, Australia.
Agriculture and Food · AUUniversity of New England · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To ensure animal welfare is not compromised, virtual fencing must be predictable and controllable, and this is achieved through associative learning. To assess the influence of predictability and controllability on physiological and behavioral responses to the aversive component of a virtual fence, two methods of training animals were compared. In the first method, positive punishment training involved sheep learning that after an audio stimulus, an electrical stimulus would follow only when they did not respond by stopping or turning at the virtual fence (predictable controllability). In the second method, classical conditioning was used to associate an audio stimulus with an electrical stimulus on all occasions (predictable uncontrollability). Eighty Merino ewes received one of the following treatments: control (no training and no stimuli in testing); positive punishment training with an audio stimulus in testing (PP); classical conditioning training with only an audio stimulus in testing (CC1); and classical conditioning training with an audio stimulus followed by electrical stimulus in testing (CC2). The stimuli were applied manually with an electronic collar. Training occurred on 4 consecutive days with one session per sheep per day. Sheep were then assessed for stress responses to the cues by measuring plasma cortisol, body temperature and behaviors. Predictable controllability (PP) sheep showed no differences in behavioral and physiological responses compared with the control treatment (

Indexed as

animal welfareBayesian brainbehaviorbody temperaturecortisolelectric shockpositive punishment

Identifiers

PMID33330702
PMCPMC7733987
OpenAlexW3107290674

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.