Evidence map›Paper›PMID 40005677›Full record

ArticleMicroorganisms2025

Impact of Feed Composition on Rumen Microbial Dynamics and Phenotypic Traits in Beef Cattle.

André L A Neves, Ricardo Augusto Mendonça Vieira, Einar Vargas-Bello-Pérez, Yanhong Chen, Tim McAllister, Kim H Ominski, Limei Lin, Le Luo Guan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microorganisms, 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. 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

8 authors.

André L A NevesDepartment of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Grønnegårdsvej 3, DK-1870 Frederiksberg C, Denmark.ORCID 0000-0002-2617-6210
Ricardo Augusto Mendonça VieiraLaboratório de Zootecnia, Universidade Estadual do Norte Fluminense, Av. Alberto Lamego 2000, Campos dos Goytacazes 28013-602, RJ, Brazil.ORCID 0000-0001-9577-3820
Einar Vargas-Bello-PérezFacultad de Zootecnia y Ecología, Universidad Autónoma de Chihuahua, Chihuahua 31453, Mexico.
Yanhong ChenDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2R3, Canada.
Tim McAllisterLethbridge Research Center, Agriculture and Agri-Food Canada, Lethbridge, AB T1J 4B1, Canada.ORCID 0000-0002-8266-6513
Kim H OminskiDepartment of Animal Science & National Centre for Livestock and the Environment (NCLE), University of Manitoba, Winnipeg, MB R3T 2N2, Canada.
Limei LinFaculty of Land and Food Systems, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Le Luo GuanDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2R3, Canada.

Funding

Alberta Livestock and Meat Agency (Edmonton, Canada) 2013R029RBeef Cattle Research Council Cluster FDE.18.21CNSERC Discovery Grant, NSERC Alliance program ALLRP 588541-23
6 · The paper itself

Abstract

The rumen microbiome is central to feed digestion and host performance, making it an important target for improving ruminant productivity and sustainability. This study investigated how feed composition influences rumen microbial abundance and phenotypic traits in beef cattle. Fifty-nine Angus bulls were assigned to forage- and grain-based diets in a randomized block design, evaluating microbial dynamics, methane emissions, and feed efficiency. Quantitative PCR (qPCR) quantified bacterial, archaeal, fungal, and protozoal populations. Grain-based diets reduced bacterial and fungal counts compared to forage diets (1.1 × 10

Indexed as

feed compositionfeed efficiencymethane emissionsrumen microbial abundance

Identifiers

PMID40005677
PMCPMC11857910

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.