Evidence map›Paper›PMID 42543745›Full record

ArticleAnimal science journal = Nihon chikusan Gakkaiho

The Potential Role of Two Red Macroalgae (Asparagopsis taxiformis and A. armata) That Promote Anti-Methanogenic Activities in Laboratory Conditions.

Byeng R Min, Giuseppa Genovese, Damiano Spagnuolo, Mariline Hilaire, Hossam Ismael, Santosh Chaudhary, Dipti W Pitta, Nagaraju Indugu

Abstract read
In one paragraph

Article in Animal science journal = Nihon chikusan Gakkaiho. 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

8 authors.

Byeng R MinDepartment of Agricultural and Environmental Sciences, Tuskegee University, Tuskegee, Alabama, USA.ORCID https://orcid.org/0000-0002-4334-8336
Giuseppa GenoveseDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy.
Damiano SpagnuoloDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy.ORCID https://orcid.org/0000-0003-3236-6974
Mariline HilaireDepartment of Agricultural and Environmental Sciences, Tuskegee University, Tuskegee, Alabama, USA.
Hossam IsmaelDepartment of Agricultural and Environmental Sciences, Tuskegee University, Tuskegee, Alabama, USA.
Santosh ChaudharyDepartment of Agricultural and Environmental Sciences, Tuskegee University, Tuskegee, Alabama, USA.
Dipti W PittaPennsylvania State University, University Park, Pennsylvania, USA.
Nagaraju InduguPennsylvania State University, University Park, Pennsylvania, USA.

Funding

Cooperative Extension Program for Agricultural Environmental Sciences, Tuskegee University, Tuskegee, ALUSDA National Institute of Food and Agriculture, McIntire-Stennis (M-S) program ALX-SRS22USDA/NRCS Climate-Smart Commodities funding NR233A750004G103
6 · The paper itself

Abstract

The objectives of this study were to evaluate the effects of two red macroalgae species (RMS; Asparagopsis taxiformis and A. armata) on rumen fermentation profiles, greenhouse gas (GHG) emissions, microbiome changes, and anti-methanogenic activities. The two RMSs were included at dietary levels of 0%, 2%, and 4% (as-fed basis) in an in vitro experiment with triplicate incubations (n = 3). Gases were collected using an ANKOM Gas Production system and analyzed for methane (CH

Indexed as

Dietary SupplementsFermentationMethaneRhodophytaRumenSeaweedAnimalsMicrobiotaNitrous OxideMethaneNitrous Oxidegreenhouse gasmethanemicrobiotared macroalgaerumen

Identifiers

PMID42543745
PMCPMC13429947

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.