Evidence map›Paper›PMID 42694562›Full record

ArticleOpen life sciences2026

Investigating context-specific acoustic variation in the bleats of male domestic sheep.

Apostolos Ntairis, Anastasia Frantzola, Ioannis Mavrikos, George P Laliotis

Abstract read
In one paragraph

Article in Open life sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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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

4 authors.

Apostolos NtairisLaboratory of Animal Breeding and Husbandry, Department of Animal Science, Agricultural University of Athens, 75 Iera Odos, GR11855, Athens, Greece.
Anastasia FrantzolaLaboratory of Animal Breeding and Husbandry, Department of Animal Science, Agricultural University of Athens, 75 Iera Odos, GR11855, Athens, Greece.
Ioannis MavrikosLaboratory of Animal Breeding and Husbandry, Department of Animal Science, Agricultural University of Athens, 75 Iera Odos, GR11855, Athens, Greece.
George P LaliotisLaboratory of Animal Breeding and Husbandry, Department of Animal Science, Agricultural University of Athens, 75 Iera Odos, GR11855, Athens, Greece.ORCID https://orcid.org/0000-0001-6075-7687

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vocalizations provide an informative means of assessing the emotional states of animals, yet male vocal behaviour in domestic sheep remains unexplored. The study aimed to investigate whether rams' bleats vary across five distinct contexts associated with morning and night isolation, exposure to familiar ewe-bell sounds, feed anticipation, and feed denial. A total of 428 high-quality bleats were used to extract 20 acoustic parameters, which were then analyzed using a multivariate acoustic approach. Principal Component Analysis identified five independent acoustic components reflecting source-parameters, spectral energy, formant frequencies, voice stability, and temporal characteristics. Context significantly influenced the acoustic structure of bleats, with spectral, formant, vocal stability, and temporal characteristics showing context-dependent variation, whereas fundamental frequency-related parameters remained unaffected. Feed anticipation elicited higher formant-related scores; feed denial produced reduced spectral energy, and social isolation contexts were characterized by increased vocal instability. Discriminant analyses revealed moderate classification accuracy, indicating overlapping acoustic patterns and supporting graded rather than discrete vocal signals. Morphometric effects were minimal, with wither height affecting formant structure. The findings provide the first detailed evidence that rams modulate multiple acoustic features across contexts, demonstrating that male sheep encode emotional states through shifts in vocal parameter variation.

Indexed as

emotionsisolationOvis ariesramsvocalizations

Identifiers

PMID42694562
PMCPMC13539161

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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.