Evidence map›Paper›PMID 42738520›Full record

ArticleAnimals : an open access journal from MDPI2026

Animal Individual Factors Dictate Learning Strategy: An Integrated Analysis of Cattle Adaptation to a Virtual Fencing System.

Severino Pinto, Clemens Bodt, Julia Toups, Dina Hamidi, Gundula Hoffmann

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Severino PintoDepartment of Sensors and Modelling, Leibniz Institute for Agricultural Engineering and Bioeconomy-ATB, Max-Eyth-Allee 100, 14469 Potsdam, Germany.ORCID 0000-0002-6354-8669
Clemens BodtFinck Stiftung gGmbH, Schlossstr. 19, 15518 Briesen (Mark), Germany.
Julia ToupsFinck Stiftung gGmbH, Schlossstr. 19, 15518 Briesen (Mark), Germany.
Dina HamidiDepartment of Crop Sciences, Grassland Science, University of Göttingen, Von-Siebold-Str. 8, 37075 Göttingen, Germany.ORCID 0000-0001-5273-7862
Gundula HoffmannDepartment of Sensors and Modelling, Leibniz Institute for Agricultural Engineering and Bioeconomy-ATB, Max-Eyth-Allee 100, 14469 Potsdam, Germany.ORCID 0000-0002-0421-6250

Funding

German Federal Ministry of Agriculture, Food and Regional Identity - BMLEH 28DE204C21
6 · The paper itself

Abstract

Virtual fencing (VF) is a promising technology for pasture management, but its successful implementation depends on understanding the factors that influence the animal learning. The aim of the present study was to evaluate the significance of individual animal factors that affect the behavioural and performance-based learning process in cattle during a VF training period. We analysed collar-derived performance data from 171 mixed-age Angus and Salers breed cattle over a 12-day training trial. Learning performance was primarily measured by daily success ratio (SR) and confidence ratio (CR). Learning trajectories and the influence of animal factors were analysed using linear mixed-effects models. A significant increase was observed in the SR over the 12-day period (

Indexed as

age effectanimal learningcattle behaviourindividual variationsmart farming

Identifiers

PMID42738520
PMCPMC13565218

What OpenQuestion holds

Textmetadata
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.