Evidence map›Paper›PMID 33670654›Full record

ArticleMicroorganisms2021

Improvement of Fermentation Quality in the Fermented Total Mixed Ration with Oat Silage.

Hong Yang, Bing Wang, Qing Zhang, Hui Cheng, Zhu Yu

Abstract read
In one paragraph

Article in Microorganisms, 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
–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

6 citing papers in PubMed.

  1. Article
  2. Effects ofFrontiers in microbiology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
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

5 authors.

Hong YangCollege of Grassland Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0000-0001-7211-6406
Bing WangNational Key Laboratory of Animal Nutrition, College of Animal Science and Technology, Agricultural University, Beijing 100193, China.ORCID 0000-0003-4410-0495
Qing ZhangCollege of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China.
Hui ChengDepartment of Civil and Environmental Engineering, Graduate School of Engineering, Tohoku University, 6-6-06 Aoba, Aramaki-Aza, Sendai, Miyagi 980-8579, Japan.
Zhu YuCollege of Grassland Science and Technology, China Agricultural University, Beijing 100193, China.

Funding

China Forage and Grass Research System CARS-34Demonstration Project of Exploitation and Utilization of High Quality Green and Rough Feed Resources 16190051Key Technologies Research and Demonstration for Efficient Utilization of Modern Artificial Grassland 2017BY082
6 · The paper itself

Abstract

The use of the fermented total mixed ration (FTMR) is a promising approach for the preservation of homogeneous feed, but changes during fermentation and links with the bacterial community of FTMR are not fully understood. This study investigated the effects of adding oat silage (OS) to the fermented total mixed ration (FTMR) in terms of fermentation, chemical composition, and the bacterial community. The fermentation quality of FTMR with 22% OS was greatly improved, as demonstrated by decreases in the butyric acid concentration, a lower lactic acid/acetic acid ratio, a larger population of lactic acid bacteria (LAB), and quicker spoilage yeast death. Further examination of the effects of various ensiling days on nutritive values showed stable crude protein and nonprotein nitrogen (NPN) contents. The concentrations of acetic acid, propionic acid, and ammonia-nitrogen (NH

Indexed as

chemical compositionfermentation qualityIllumina MiSeq sequencingLactobacillus genus complexoattotal mixed ration silage

Identifiers

PMID33670654
PMCPMC7922426

What OpenQuestion holds

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Registered trials

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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.