Evidence map›Paper›PMID 42095942›Full record

ArticleInternational journal of biometeorology2026

Integrating climate scenarios and thermal welfare thresholds to project future heat stress risk in beef cattle.

Giampiero Grossi, Andrea Vitali, Nicola Lacetera, Chiara Rossi, Nicola Lacetera

Abstract read
In one paragraph

Article in International journal of biometeorology, 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.

Giampiero GrossiDepartment of Agriculture and Forest Sciences, University of Tuscia, Via San Camillo De Lellis, Viterbo, 01100, Italy. g.grossi@unitus.it.ORCID http://orcid.org/0000-0002-8315-8748
Andrea VitaliDepartment of Agriculture and Forest Sciences, University of Tuscia, Via San Camillo De Lellis, Viterbo, 01100, Italy.ORCID http://orcid.org/0000-0002-4739-9077
Nicola LaceteraDepartment of Economic Sciences, University of Bologna, Piazza Scaravilli 2, Bologna, Italy.ORCID http://orcid.org/0000-0002-3191-8792
Chiara RossiDepartment of Agriculture and Forest Sciences, University of Tuscia, Via San Camillo De Lellis, Viterbo, 01100, Italy.ORCID http://orcid.org/0009-0008-3089-366X
Nicola LaceteraDepartment of Agriculture and Forest Sciences, University of Tuscia, Via San Camillo De Lellis, Viterbo, 01100, Italy.ORCID http://orcid.org/0000-0003-2088-2744

Funding

European Union's Next-GenerationEU program J83C22000830005
6 · The paper itself

Abstract

Global demand for beef is projected to rise, coinciding with increasing climate change-related threats to animal welfare and productivity. Heat stress represents a major risk, impairing cattle health, growth, and reproductive efficiency. This study employed the Heat-Load Index, a composite measure of temperature, humidity, solar radiation, and wind speed, to classify heat stress into five categories. Using high-resolution climate projections from the NEX-GDDP-CMIP6 archive and a Multi-Model Ensemble of 27 global circulation models, we assessed heat stress risk for beef cattle worldwide under four Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5) through 2100. Results indicated a progressive expansion of severe and extreme heat stress categories, particularly in tropical and subtropical regions, with increasing encroachment into temperate zones by the late century. These findings highlight the urgent need for climate-smart livestock strategies, including genetic selection, improved housing, and adaptive management, to safeguard animal welfare and sustain global beef production.

Indexed as

Cattle DiseasesClimate ChangeClimate ModelsHeat Stress DisordersAnimalsAnimal WelfareCattleClimate changeHeat-Load IndexHeat stress categoriesMeat productionShared socioeconomic pathways

Identifiers

PMID42095942
PMCPMC13152964

What OpenQuestion holds

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LicenceCC BY
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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.