Evidence map›Paper›PMID 37835668›Full record

ArticleAnimals : an open access journal from MDPI2023

Increased Yearling Weight Gain Is Associated with a Distinct Faecal Microbial Profile.

Brianna N Maslen, Christian Duff, Samuel A Clark, Julius Van der Werf, Jason D White, Sameer D Pant

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Dietary supplementation withFrontiers in microbiology · 2025
    Article
  4. Article
  5. 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.

Brianna N MaslenGulbali Institute, Charles Sturt University, Boorooma Street, Wagga Wagga, NSW 2678, Australia.
Christian DuffAngus Australia, Armidale, NSW 2350, Australia.ORCID 0000-0002-3072-1736
Samuel A ClarkSchool of Environmental and Rural Science, University of New England, Armidale, NSW 2350, Australia.
Julius Van der WerfSchool of Environmental and Rural Science, University of New England, Armidale, NSW 2350, Australia.
Jason D WhiteResearch Office, Charles Sturt University, Wagga Wagga, NSW 2650, Australia.
Sameer D PantGulbali Institute, Charles Sturt University, Boorooma Street, Wagga Wagga, NSW 2678, Australia.

Funding

Angus Australia NA
6 · The paper itself

Abstract

Microbial communities inhabiting the gut have the ability to influence physiological processes contributing to livestock production and performance. Livestock enterprises rely on animal production traits such as growth performance for profit. Previous studies have shown that gut microbiota are correlated to growth performance and could even influence it. The aim of this study was to characterise the faecal microbial profiles of Angus steers with high and low ADG at both weaning and yearling stages by profiling 16S rRNA gene sequences from rectal faecal samples. When microbial profiles were compared in terms of relative abundances, LEfSe analysis, alpha diversity metrics, and beta diversity, at the weaning stage, few significant differences were found between the high and low ADG groups. However, at yearling stage, microbial profiles significantly differed between the high and low ADG groups. The relative abundances of eight phyla and six genera significantly differed between the two groups. Alpha diversity metrics showed a significant decrease (

Indexed as

16S rRNAAngus steersaverage daily gainfaecalmicrobial profilesweaning weightyearling weight

Identifiers

PMID37835668
PMCPMC10572062

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.