Evidence map›Paper›PMID 40614196›Full record

ArticleScience advances2025

High-frequency data reveal limits of adaptation to heat in animal agriculture.

Claire Palandri, Eyal G Frank, Ayal Kimhi, Yaniv Lavon, Ephraim Ezra, Ram Fishman

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. 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.

Claire PalandriHarris School of Public Policy, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0003-0279-8565
Eyal G FrankHarris School of Public Policy, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0002-5876-5319
Ayal KimhiDepartment of Environmental Economics, Hebrew University of Jerusalem, Rehovot 7610001, Israel.ORCID 0000-0002-6716-7118
Yaniv LavonIsrael Cattle Breeders Association, Caesaria Industrial Park, Caesarea 38900, Israel.ORCID 0000-0003-3371-2904
Ephraim EzraIsrael Cattle Breeders Association, Caesaria Industrial Park, Caesarea 38900, Israel.ORCID 0000-0003-0077-9053
Ram FishmanDepartment of Public Policy, Tel Aviv University, Tel Aviv-Yafo 6997801, Israel.ORCID 0000-0003-0381-9153

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the impacts of climate change on food systems is a key research priority, but important sectors and the scope for adaptation remain underexplored. Here, we analyze more than 320 million daily observations of milk production across 12 years, paired with survey data, to provide estimates of the effect of humid heat and the scope for adaptation. Results indicate that extreme heat reduces milk yield by up to 10%, with effects that persist for more than 10 days. Effects are stronger when cows are at more productive stages, suggesting a productivity-resilience trade-off. Cooling infrastructure and management adjustments were widely adopted over the preceding two decades, but only partially mitigate these losses, reducing them by less than half. Given the technological advancement and the representation of the climate of key producing countries in our sample, these results suggest that adaptation strategies, even those at the technological frontier, may be insufficient to address climate change damages.

Indexed as

Adaptation, PhysiologicalAgricultureHot TemperatureAnimalsCattleClimate ChangeFemaleMilk

Identifiers

PMID40614196
PMCPMC12227047

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.