Evidence map›Paper›PMID 33365334›Full record

ArticleFrontiers in veterinary science2020

Proximity Interactions in a Permanently Housed Dairy Herd: Network Structure, Consistency, and Individual Differences.

Kareemah Chopra, Holly R Hodges, Zoe E Barker, Jorge A Vázquez Diosdado, Jonathan R Amory, Tom C Cameron, Darren P Croft, Nick J Bell, Edward A Codling

Abstract 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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Towards assessing indirect genetic effects in dairy cattle.Genetics, selection, evolution : GSE · 2025
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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

9 authors.

Kareemah ChopraDepartment of Mathematical Sciences, University of Essex, Colchester, United Kingdom.
Holly R HodgesWrittle University College, Chelmsford, United Kingdom.
Zoe E BarkerWrittle University College, Chelmsford, United Kingdom.
Jorge A Vázquez DiosdadoDepartment of Mathematical Sciences, University of Essex, Colchester, United Kingdom.
Jonathan R AmoryWrittle University College, Chelmsford, United Kingdom.
Tom C CameronSchool of Life Sciences, University of Essex, Colchester, United Kingdom.
Darren P CroftCentre for Research in Animal Behaviour, College of Life and Environmental Sciences, University of Exeter, Exeter, United Kingdom.
Nick J BellRoyal Veterinary College, Hatfield, United Kingdom.
Edward A CodlingDepartment of Mathematical Sciences, University of Essex, Colchester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the herd structure of housed dairy cows has the potential to reveal preferential interactions, detect changes in behavior indicative of illness, and optimize farm management regimes. This study investigated the structure and consistency of the proximity interaction network of a permanently housed commercial dairy herd throughout October 2014, using data collected from a wireless local positioning system. Herd-level networks were determined from sustained proximity interactions (pairs of cows continuously within three meters for 60 s or longer), and assessed for social differentiation, temporal stability, and the influence of individual-level characteristics such as lameness, parity, and days in milk. We determined the level of inter-individual variation in proximity interactions across the full barn housing, and for specific functional zones within it (feeding, non-feeding). The observed networks were highly connected and temporally varied, with significant preferential assortment, and inter-individual variation in daily interactions in the non-feeding zone. We found no clear social assortment by lameness, parity, or days in milk. Our study demonstrates the potential benefits of automated tracking technology to monitor the proximity interactions of individual animals within large, commercially relevant groups of livestock.

Indexed as

animal groupanimal movementdairy cowlamenesslocal positioning system (LPS)precision livestock farming (PLF)proximity interactionssocial network analysis (SNA)

Identifiers

PMID33365334
PMCPMC7750390

What OpenQuestion holds

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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.