Evidence map›Paper›PMID 39376702›Full record

ArticleFrontiers in microbiology2024

Effects of mulch films with different thicknesses on the microbial community of tobacco rhizosphere soil in Yunnan laterite.

Shuaibing Wang, Qiuping Li, Changbing Ye, Wenqing Ma, Yandong Sun, Bin Zhao, Weiqing Zeng, Zhiqiang Yue, Lan Li, Dandan Li

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

10 authors.

Shuaibing Wang *School of Chemistry, Biology and Environment, Yuxi Normal University, Yuxi, China.
Qiuping Li *College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, China.
Changbing YeSchool of Chemistry, Biology and Environment, Yuxi Normal University, Yuxi, China.
Wenqing MaCollege of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, China.
Yandong SunCollege of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, China.
Bin ZhaoSchool of Chemistry, Biology and Environment, Yuxi Normal University, Yuxi, China.
Weiqing ZengAgricultural Environmental Protection and Rural Energy Workstation, Yuxi Agriculture and Rural Bureau, Yuxi, China.
Zhiqiang YueAgricultural Environmental Protection and Rural Energy Workstation, Yuxi Agriculture and Rural Bureau, Yuxi, China.
Lan LiSchool of Geography and Land Engineering, Yuxi Normal University, Yuxi, China.
Dandan LiCollege of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mulch film (MF) management model of the agricultural field affects the physical and chemical properties of soil (PCPS) and the structure of the microorganism community; however, studies on the relationship between the rhizosphere microorganism community structure and the thickness of MF are still limited. To understand the interactions among the MF thickness, PCPS, and rhizosphere microorganism, a study was conducted by using an integrated metagenomic strategy, where tobacco rhizosphere soil was treated with four commonly representative and used thicknesses of MFs (0.004, 0.006, 0.008, and 0.010 mm) in Yunnan laterite. The results showed that agronomic traits such as the tobacco plant height (TPH), leaf number (LN), fresh leaf weight (FLW), and dry leaf weight (DLW) were significantly (

Indexed as

interactionsmulch thicknessrhizosphere microorganismsoil characteristicstobacco

Identifiers

PMID39376702
PMCPMC11456438

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.