Evidence map›Paper›PMID 40096609›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

US grass-fed beef is as carbon intensive as industrial beef and ≈10-fold more intensive than common protein-dense alternatives.

Gidon Eshel, Avi I Flamholz, Alon Shepon, Ron Milo

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Reply to Apanovich and Weeks: Exceptions exist, as recognized in the paper, but are too rare to challenge the original findings.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Why excluding regenerative grazing skews beef's carbon profile.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

4 authors.

Gidon EshelDepartment of Environmental Science, Bard College, Annandale-on-Hudson, NY 12504-5000.ORCID 0000-0001-5422-9968
Avi I FlamholzLaboratory of Environmental Microbiology, The Rockefeller University, New York, NY 10065.ORCID 0000-0002-9278-5479
Alon SheponThe Steinhardt Museum of Natural History, Tel Aviv University, Tel Aviv 61390, Israel.ORCID 0000-0002-4345-8957
Ron MiloDepartment of Plant and Environmental Science, Weizmann Inst., Rehovot 7610001, Israel.ORCID 0000-0003-1641-2299

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high resource intensity of industrial beef in high-income economies has prompted growing interest in alternative, potentially lower environmental impact beef production pathways. Of those, grass feeding is promoted by some as one such alternative, but rigorous quantification of this claim is required. Motivated to bridge this knowledge gap, we integrate empirical evidence with a model based on authoritative equations governing beef cattle performance to quantify the greenhouse gas emissions of producing grass-fed beef. Because geographical specificity and dependence on agricultural intensity are key, we model widely varied herds, from extensive operations on semiarid, marginal rangelands to partially industrial, intensive ones in lusher, more accommodating settings. We find that emissions per kg protein of even the most efficient grass-fed beef are 10 to 25% higher than those of industrial US beef and 3- to over 40-fold higher than a wide range of plant and animal alternatives. Soil sequestration enhancement by rangeland grazing reduces these emissions from 280-390 to 180-290 kg CO

Indexed as

Animal FeedCarbonPoaceaeRed MeatAnimal HusbandryAnimalsCattleGreenhouse GasesUnited StatesCarbonGreenhouse Gasesagricultural efficiencybeefcarbon balancegrazingrangeland

Identifiers

PMID40096609
PMCPMC11962457

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.