Evidence map›Paper›PMID 33888808›Full record

ArticleScientific reports2021

Dual sensor measurement shows that temperature outperforms pH as an early sign of aerobic deterioration in maize silage.

Guilin Shan, Wolfgang Buescher, Christian Maack, André Lipski, Ismail-Hakki Acir, Manfred Trimborn, Fabian Kuellmer, Ye Wang, David A Grantz, Yurui Sun

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

10 authors at 2 institutions in 2 countries.

Guilin Shan *Department of Agricultural Engineering, The University of Bonn, 53115, Bonn, Germany.
Wolfgang BuescherDepartment of Agricultural Engineering, The University of Bonn, 53115, Bonn, Germany.
Christian MaackDepartment of Agricultural Engineering, The University of Bonn, 53115, Bonn, Germany.
André LipskiInstitute of Nutrition and Food Science, The University of Bonn, 53115, Bonn, Germany.
Ismail-Hakki AcirInstitute of Nutrition and Food Science, The University of Bonn, 53115, Bonn, Germany.
Manfred TrimbornDepartment of Agricultural Engineering, The University of Bonn, 53115, Bonn, Germany.
Fabian KuellmerInstitute of Nutrition and Food Science, The University of Bonn, 53115, Bonn, Germany.
Ye WangDepartment of Agricultural Engineering, The University of Bonn, 53115, Bonn, Germany.
David A GrantzDepartment of Botany and Plant Sciences, Kearney Agricultural Center, University of California at Riverside, Parlier, CA, 93648, USA.
Yurui Sun *Department of Agricultural Engineering, The University of Bonn, 53115, Bonn, Germany. ysun@uni-bonn.de.
University of Bonn · DEUniversity of California, Riverside · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High quality silage containing abundant lactic acid is a critical component of ruminant diets in many parts of the world. Silage deterioration, a result of aerobic metabolism (including utilization of lactic acid) during storage and feed-out, reduces the nutritional quality of the silage, and its acceptance by animals. In this study, we introduce a novel non-disruptive dual-sensor method that provides near real-time information on silage aerobic stability, and demonstrates for the first time that in situ silage temperature (T

Identifiers

PMID33888808
PMCPMC8062529
OpenAlexW3155877976

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.