Evidence map›Paper›PMID 39858249›Full record

ReviewAnimals : an open access journal from MDPI2025

Heat Stress in Dairy Cows: Impacts, Identification, and Mitigation Strategies-A Review.

Charles Paranhos Oliveira, Fernanda Campos de Sousa, Alex Lopes da Silva, Érica Beatriz Schultz, Roger Iván Valderrama Londoño, Pedro Antônio Reinoso de Souza

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 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Heat Stress Detection in Dairy Cattle Using Intraruminal Bolus Sensors.Animals : an open access journal from MDPI · 2026
    Review
  5. Article
  6. The Effect of Night-Time Feeding on Steer Performance After Terminal Sort.Animals : an open access journal from MDPI · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

6 authors.

Charles Paranhos OliveiraDepartament of Agricultural Engineering, Universidade Federal de Viçosa, Viçosa 36570-900, Brazil.ORCID 0000-0001-7692-1648
Fernanda Campos de SousaDepartament of Agricultural Engineering, Universidade Federal de Viçosa, Viçosa 36570-900, Brazil.ORCID 0000-0002-5584-728X
Alex Lopes da SilvaDepartament of Animal Science, Universidade Federal de Viçosa, Viçosa 36570-900, Brazil.ORCID 0000-0002-3288-4387
Érica Beatriz SchultzDepartament of Animal Science, Universidade Federal de Viçosa, Viçosa 36570-900, Brazil.
Roger Iván Valderrama LondoñoInstitute of Biology, Faculty of Exact and Natural Sciences, Universidad de Antioquia, Medellín 1226, Colombia.
Pedro Antônio Reinoso de SouzaDepartament of Agricultural Engineering, Universidade Federal de Viçosa, Viçosa 36570-900, Brazil.ORCID 0009-0001-7042-3936

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heat stress in animals affects productivity, health, and reproduction, with particularly pronounced effects in dairy cows. Identifying heat stress requires understanding both physiological and environmental indicators, such as increased heart rate, respiratory rate, and rectal temperature, which reflect the animal's thermal condition within its environment. Thermoregulation in cows involves behavioral and physiological adjustments to maintain homeothermy, aiming to stabilize their internal thermal state. To assess the thermal condition of animals, machine learning models have been developed, leveraging both environmental and physiological indicators for more accurate stress detection. Among the various indices of thermal environment, the Temperature and Humidity Index (THI) is the most widely used. Cooling strategies for animals and their environments are essential to mitigate the effects of heat stress. One effective approach involves the use of evaporative adiabatic cooling combined with forced ventilation systems in feeding alleys and pre-milking holding areas. This method enhances evaporative exchanges and facilitates heat dissipation between the animal and its surroundings, thereby alleviating heat stress and improving both the welfare and productivity of dairy cows.

Indexed as

ambienceanimal environmentanimal welfaredairy farminghomeothermymachine learning

Identifiers

PMID39858249
PMCPMC11758294

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.