Evidence map›Paper›PMID 37317090›Full record

ArticleMicroorganisms2023

Rumen Microbiota Predicts Feed Efficiency of Primiparous Nordic Red Dairy Cows.

Miika Tapio, Daniel Fischer, Päivi Mäntysaari, Ilma Tapio

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 14 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

4 authors at 1 institution in 1 country.

Miika TapioGenomics and Breeding, Production Systems, Natural Resources Institute Finland (Luke), 31600 Jokioinen, Finland.ORCID 0000-0002-1859-8376
Daniel FischerApplied Statistical Methods, Natural Resources, Natural Resources Institute Finland (Luke), 31600 Jokioinen, Finland.ORCID 0000-0002-7513-683X
Päivi MäntysaariAnimal Nutrition, Production Systems, Natural Resources Institute Finland (Luke), 31600 Jokioinen, Finland.ORCID 0000-0002-3534-4802
Ilma TapioGenomics and Breeding, Production Systems, Natural Resources Institute Finland (Luke), 31600 Jokioinen, Finland.ORCID 0000-0002-0752-9551
Natural Resources Institute Finland · FI

Funding

European Union 818368
6 · The paper itself

Abstract

Efficient feed utilization in dairy cows is crucial for economic and environmental reasons. The rumen microbiota plays a significant role in feed efficiency, but studies utilizing microbial data to predict host phenotype are limited. In this study, 87 primiparous Nordic Red dairy cows were ranked for feed efficiency during their early lactation based on residual energy intake, and the rumen liquid microbial ecosystem was subsequently evaluated using 16S rRNA amplicon and metagenome sequencing. The study used amplicon data to build an extreme gradient boosting model, demonstrating that taxonomic microbial variation can predict efficiency (r

Indexed as

feed efficiencymetagenomicspredictionrumen bacteriaruminants

Identifiers

PMID37317090
PMCPMC10222030
OpenAlexW4366988009

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.