Evidence map›Paper›PMID 40509111›Full record

ArticleAnimals : an open access journal from MDPI2025

Bioclimatic Zoning and Climate Change Impacts on Dairy Cattle in Maranhão, Brazil.

Andressa Carvalho de Sousa, Andreza Maciel de Sousa, Wellington Cruz Corrêa, Jordânio Inácio Marques, Kamila Cunha de Meneses, Héliton Pandorfi, Thieres George Freire da Silva, Jhon Lennon Bezerra da Silva, Marcos Vinícius da Silva, Nítalo André Farias Machado

Abstract read
In one paragraph

Article 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Climate Change and Livestock Welfare in the Alps: A Comprehensive Review.Animals : an open access journal from MDPI · 2025
    Review
  3. Article
  4. 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

10 authors.

Andressa Carvalho de SousaChapadinha Science Center, Federal University of Maranhão, Chapadinha 65500-000, Brazil.
Andreza Maciel de SousaChapadinha Science Center, Federal University of Maranhão, Chapadinha 65500-000, Brazil.ORCID 0000-0002-9660-425X
Wellington Cruz CorrêaChapadinha Science Center, Federal University of Maranhão, Chapadinha 65500-000, Brazil.
Jordânio Inácio MarquesChapadinha Science Center, Federal University of Maranhão, Chapadinha 65500-000, Brazil.
Kamila Cunha de MenesesChapadinha Science Center, Federal University of Maranhão, Chapadinha 65500-000, Brazil.
Héliton PandorfiDepartment of Agricultural Engineering, Federal Rural University of Pernambuco, Recife 52171-900, Brazil.
Thieres George Freire da SilvaDepartment of Agricultural Engineering, Federal Rural University of Pernambuco, Recife 52171-900, Brazil.ORCID 0000-0002-8355-4935
Jhon Lennon Bezerra da SilvaCerrado Irrigation Graduate Program, Goiano Federal Institute, Campus Ceres, GO-154, Km 218, Rural Zone, Ceres 76300-000, Brazil.ORCID 0000-0002-2611-4036
Marcos Vinícius da SilvaChapadinha Science Center, Federal University of Maranhão, Chapadinha 65500-000, Brazil.ORCID 0000-0002-1318-2320
Nítalo André Farias MachadoChapadinha Science Center, Federal University of Maranhão, Chapadinha 65500-000, Brazil.ORCID 0000-0002-4967-2620

Funding

Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão (FAPEMA) BEPP-03138/23Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão (FAPEMA) ECOSSISTEMA_INOVACAO-11929/22
6 · The paper itself

Abstract

To build climate-resilient livestock systems, public policies must be informed by bioclimatic zoning, enabling region-specific interventions and more efficient resource allocation. This study aimed to conduct bioclimatic zoning for dairy cattle farming in the state of Maranhão, Brazil. Big data analysis techniques and predictive geostatistical modeling were applied to historical (2012-2023) and future climate scenarios under intermediate (RCP4.5) and high-intensity (RCP8.5) greenhouse gas emissions. Kriging maps of THI revealed a decreasing north-south thermal gradient, with values exceeding 80 during critical years. Milk yield losses were more pronounced in high-producing cows, reaching up to 5 kg/cow/day under extreme heat. Areas identified as drought-prone exhibited spatial patterns consistent with THI distributions. The projections indicate that, under the RCP 4.5 scenario, over 60% of Maranhão will exhibit average THI values between 78 and 81 by the end of the century. Under the RCP 8.5 scenario, large areas of the state are expected to reach THI values above 86. Under these conditions, estimated milk production losses may exceed 4 kg/cow/day for moderate-yielding animals and 9 kg/cow/day for high-yielding ones, respectively. The results reinforce the importance of bioclimatic zoning to support informed policymaking in the context of climate change.

Indexed as

biometeorologygeostatistical modelingGISheat stresstemperature–humidity index

Identifiers

PMID40509111
PMCPMC12153783

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.