Evidence map›Paper›PMID 39624330›Full record

ArticleHeliyon2024

Honeysuckle branches and lactobacillus enhance quality by changing the composition and diversity of microorganisms in alfalfa silage fermentation.

Xia Liu, Dong Li, Qiang Liu, Bin Yang, Xiaojing Wang, Yan Zhang, Yan Niu, Chunxia Yang, Yu Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. 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

9 authors.

Xia LiuInstitute of quality standards and testing technology for Agro products, Ningxia academy of agriculture and forestry sciences, Yinchuan, 750002, China.
Dong LiInstitute of quality standards and testing technology for Agro products, Ningxia academy of agriculture and forestry sciences, Yinchuan, 750002, China.
Qiang LiuCenter for transformation of scientific and technological achievements, Xinjiang Academy of Agricultural Sciences, Urumqi, 830091, China.
Bin YangCenter for transformation of scientific and technological achievements, Xinjiang Academy of Agricultural Sciences, Urumqi, 830091, China.
Xiaojing WangInstitute of quality standards and testing technology for Agro products, Ningxia academy of agriculture and forestry sciences, Yinchuan, 750002, China.
Yan ZhangInstitute of quality standards and testing technology for Agro products, Ningxia academy of agriculture and forestry sciences, Yinchuan, 750002, China.
Yan NiuInstitute of quality standards and testing technology for Agro products, Ningxia academy of agriculture and forestry sciences, Yinchuan, 750002, China.
Chunxia YangInstitute of quality standards and testing technology for Agro products, Ningxia academy of agriculture and forestry sciences, Yinchuan, 750002, China.
Yu ZhangNingxia animal husbandry workstation, Yinchuan, 750002, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incorporation of honeysuckle as a silage additive in alfalfa production has yielded promising results; however, the underlying microbial mechanisms during fermentation remain poorly understood. This study leveraged high-throughput sequencing and nutrient profiling to elucidate microbial population dynamics over 45 days of anaerobic fermentation within a vacuum-assisted co-culture system comprising varying fresh weight ratios of honeysuckle branches,

Indexed as

Alfalfa silageCombine additionHoneysuckle branchesLactobacillus additionMicrobial interaction networks

Identifiers

PMID39624330
PMCPMC11609685

What OpenQuestion holds

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LicenceCC BY-NC
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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.