Evidence map›Paper›PMID 39943101›Full record

ReviewAnimals : an open access journal from MDPI2025

A Review of the Monitoring Techniques Used to Detect Oestrus in Sows.

Dannielle Glencorse, Christopher G Grupen, Roslyn Bathgate

Abstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Dannielle GlencorseSydney School of Veterinary Science, Faculty of Science, The University of Sydney, Sydney 2006, Australia.
Christopher G GrupenSydney School of Veterinary Science, Faculty of Science, The University of Sydney, Sydney 2006, Australia.ORCID 0000-0001-8352-0404
Roslyn BathgateSydney School of Veterinary Science, Faculty of Science, The University of Sydney, Sydney 2006, Australia.ORCID 0000-0002-7922-5610

Funding

Australian Government Research Training Program (RTP) scholarship
6 · The paper itself

Abstract

The agricultural industries have embraced the use of technologies as they improve efficiency and food security. The pork industry is no exception to this, as monitoring techniques and artificial intelligence allow for unprecedented capacity to track the physiological and behavioural condition of individual animals. This article reviews a range of those technologies in reference to the detection of oestrus in sows, a time when the ability to precisely ascertain physiological and behavioural changes associated with fluctuating hormone levels can have an immense impact on the economic profitability of the farm. The strengths and weaknesses of each technique from a practical application perspective are discussed, followed by considerations for further research and refinement.

Indexed as

accelerometerbehaviourbody temperaturecervical mucuselectrical resistance

Identifiers

PMID39943101
PMCPMC11816321

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.