Evidence map›Paper›PMID 40005747›Full record

ArticleMicroorganisms2025

Effects of Moisture Content Gradient on Alfalfa Silage Quality, Odor, and Bacterial Community Revealed by Electronic Nose and GC-MS.

Yichao Liu, Zhijun Wang, Lin Sun, Yuhan Zhang, Muqier Zhao, Junfeng Hao, Mingjian Liu, Gentu Ge, Yushan Jia, Shuai Du

Abstract read
In one paragraph

Article in Microorganisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. The Role of Microbes in Ensiling.Microorganisms · 2025
    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

10 authors.

Yichao LiuKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot 010010, China.ORCID 0000-0002-0839-9541
Zhijun WangKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot 010010, China.
Lin SunInner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot 010010, China.ORCID 0000-0002-0589-2103
Yuhan ZhangForestry and Grassland Work Station of Inner Mongolia, Hohhot 010000, China.
Muqier ZhaoKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot 010010, China.
Junfeng HaoKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot 010010, China.ORCID 0000-0003-1283-2114
Mingjian LiuKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot 010010, China.ORCID 0000-0003-2780-4167
Gentu GeKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot 010010, China.
Yushan JiaKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot 010010, China.
Shuai DuKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot 010010, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Better quality and odor of silage and normal microbial fermentation metabolism are mostly dependent on an appropriate moisture content. The purpose of this study was to determine the effects of different moisture content gradients (50, 60, 70, and 80%) on the bacterial community, odor, and quality of alfalfa silage at 60 days by using gas chromatography-mass spectrometry (GC-MS) and electronic nose, with six replicates per group. The results showed that there were significant differences in odor response intensity among all groups, among which the 80% group had the strongest reaction to terpenoids, sulfides, and nitrogen oxides. Similarly, the different volatile organic compounds (VOCs) were mainly terpenoids, alcohols, and ketones, such as pine, camphor, and menthol (e.g., carlin and levomenthol). The dominant bacterium was

Indexed as

bacterial diversityfermentation qualitymetabolic pathwayodor compositionvolatile organic compounds

Identifiers

PMID40005747
PMCPMC11858379

What OpenQuestion holds

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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.