Evidence map›Paper›PMID 34268344›Full record

ArticleFrontiers in veterinary science2021

Evaluation of the Fecal Bacterial Communities of Angus Steers With Divergent Feed Efficiencies Across the Lifespan From Weaning to Slaughter.

Christina B Welch, Jeferson M Lourenco, Taylor R Krause, Darren S Seidel, Francis L Fluharty, T Dean Pringle, Todd R Callaway

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
6.3field-weighted citation impact, top 3% of its field
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, 34 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Christina B WelchDepartment of Animal and Dairy Science, University of Georgia, Athens, GA, United States.
Jeferson M LourencoDepartment of Animal and Dairy Science, University of Georgia, Athens, GA, United States.
Taylor R KrauseDepartment of Animal and Dairy Science, University of Georgia, Athens, GA, United States.
Darren S SeidelDepartment of Animal and Dairy Science, University of Georgia, Athens, GA, United States.
Francis L FluhartyDepartment of Animal and Dairy Science, University of Georgia, Athens, GA, United States.
T Dean PringleDepartment of Animal and Dairy Science, University of Georgia, Athens, GA, United States.
Todd R CallawayDepartment of Animal and Dairy Science, University of Georgia, Athens, GA, United States.
University of Georgia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous studies have examined the link between the presence of specific gastrointestinal bacteria and the feed efficiency of cattle. However, cattle undergo dietary changes during their productive life which can cause fluctuations in their microbial consortium. The objective of the present study was to assess changes in the fecal microbiome of beef steers genetically selected to be divergent in feedlot feed efficiency, to determine whether differences in their fecal microbiomes could be detected as early as weaning, and continued throughout the rearing process regardless of dietary changes. Fecal samples were collected at weaning, yearling age, and slaughter for a group of 63 steers. Based on their feedlot-finishing performance, the steers were selected and divided into two groups according to their residual feed intake (

Indexed as

beef cattleBifidobacteriaceaeChristensenellaceaefecal microbiomeproductive liferesidual feed intakeRikenellaceaeRuminococcaceae

Identifiers

PMID34268344
PMCPMC8275654
OpenAlexW3174276026

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.