Evidence map›Paper›PMID 40723587›Full record

ArticleAnimals : an open access journal from MDPI2025

Analysis of the Microbiota of Milk from Holstein-Friesian Dairy Cows Fed a Microbial Supplement.

Bronwyn E Campbell, Mohammad Mahmudul Hassan, Timothy Olchowy, Shahab Ranjbar, Martin Soust, Orlando Ramirez-Garzon, Rafat Al Jassim, Robert J Moore, John I Alawneh

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Bronwyn E CampbellSchool of Science, RMIT University, Melbourne, VIC 3083, Australia.ORCID 0000-0001-9090-764X
Mohammad Mahmudul HassanSchool of Veterinary Science, The University of Queensland, Gatton, QLD 4343, Australia.ORCID 0000-0001-6495-4637
Timothy OlchowyFaculty of Veterinary Medicine, University of Calgary, Calgary, AB T3R 1J3, Canada.ORCID 0009-0003-5654-6432
Shahab RanjbarSchool of Veterinary Science, The University of Queensland, Gatton, QLD 4343, Australia.ORCID 0000-0002-4586-4983
Martin SoustTerragen Biotech Pty Ltd., Coolum Beach, QLD 4573, Australia.ORCID 0000-0002-7270-0589
Orlando Ramirez-GarzonTerragen Biotech Pty Ltd., Coolum Beach, QLD 4573, Australia.ORCID 0000-0003-4833-7094
Rafat Al JassimQueensland Alliance for Agriculture and Food Innovation, Brisbane, QLD 4072, Australia.ORCID 0000-0002-6505-4355
Robert J MooreSchool of Science, RMIT University, Melbourne, VIC 3083, Australia.ORCID 0000-0002-0776-5861
John I AlawnehPlant Biosecurity and Product Integrity, Biosecurity Queensland, Department of Primary Industries, Brisbane, QLD 4001, Australia.

Funding

Terragen Pty Ltd TER10
6 · The paper itself

Abstract

Previous studies of direct-fed microbial (DFM) supplements showed variable effects on the microbiota and physiology of dairy cows. The main aims of this study were to investigate the milk microbiota of cows supplemented with a lactobacilli-based DFM compared to untreated cows; describe the changes; and quantify the association between the taxa and cow productivity. The study followed seventy-five Holstein-Friesian dairy cows supplemented with a DFM over 16 months compared to seventy-five non-supplemented cows. Twenty-five cows from each group were sampled for microbiota analysis. The top taxa significantly associated with the variables were as follows: Age (

Indexed as

bacterial diversitydairy cowsDFMdirect-fed microbialmilk microbiotaproductivity

Identifiers

PMID40723587
PMCPMC12291751

What OpenQuestion holds

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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.