Evidence map›Paper›PMID 34283273›Full record

SynthesisInternational journal of biometeorology2021

Negative relationship between dry matter intake and the temperature-humidity index with increasing heat stress in cattle: a global meta-analysis.

J Chang-Fung-Martel, M T Harrison, J N Brown, R Rawnsley, A P Smith, H Meinke

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal of biometeorology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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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.

J Chang-Fung-MartelTasmanian Institute of Agriculture, University of Tasmania, Sandy Bay, TAS, 7001, Australia. janine.changfungmartel@sydney.edu.au.
M T HarrisonTasmanian Institute of Agriculture, University of Tasmania, Burnie, TAS, 7320, Australia.
J N BrownCSIRO Oceans and Atmosphere, Castray Esplanade, Battery Point, TAS, 7001, Australia.
R RawnsleyTasmanian Institute of Agriculture, University of Tasmania, Burnie, TAS, 7320, Australia.
A P SmithICRISAT, Patancheru, 502 324, Telangana, India.
H MeinkeUniversity of Tasmania, Hobart, TAS, 7001, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in frequency and severity of heat waves due to climate change pose a considerable challenge to livestock production systems. Although it is well known that heat stress reduces feed intake in cattle, effects of heat stress vary between animal genotypes and climatic conditions and are context specific. To derive a generic global prediction that accounts for the effects of heat stress across genotypes, management and environments, we conducted a systematic literature review and a meta-analysis to assess the relationship between dry matter intake (DMI) and the temperature-humidity index (THI), two reliable variables for the measurement of feed intake and heat stress in cattle, respectively. We analysed this relationship accounting for covariation in countries, breeds, lactation stage and parity, as well as the efficacy of various physical cooling interventions. Our findings show a significant negative correlation (r =  - 0.82) between THI and DMI, with DMI reduced by 0.45 kg/day for every unit increase in THI. Although differences in the DMI-THI relationship between lactating and non-lactating cows were not significant, effects of THI on DMI varied between lactation stages. Physical cooling interventions (e.g. provision of animal shade or shelter) significantly alleviated heat stress and became increasingly important after THI 68, suggesting that this THI value could be viewed as a threshold for which cooling should be provided. Passive cooling (shading) was more effective at alleviating heat stress compared with active cooling interventions (sprinklers). Our results provide a high-level global equation for THI-DMI across studies, allowing next-users to predict effects of heat stress across environments and animal genotypes.

Indexed as

LactationMilkAnimalsCattleFemaleHeat-Shock ResponseHot TemperatureHumidityPregnancyTemperatureAdaptationDairyHyperthermiaImpactMilk productionTemperature

Identifiers

PMID34283273
PMCPMC8566424

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.