Evidence map›Paper›PMID 41140400›Full record

ArticleFrontiers in microbiology2025

Harnessing sunflower stalk-based bowl for sustainable tobacco seedling and cultivation: influence on rhizosphere microbiome and carbon cycling.

Xiaolong Shi, Menglin Ge, Suting Hou, Qing Han, Anning Xu, Chunji Jiang, Xin Ma

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Xiaolong Shi *College of Agronomy, Shenyang Agricultural University, Shenyang, China.
Menglin Ge *College of Agronomy, Shenyang Agricultural University, Shenyang, China.
Suting HouCollege of Agronomy, Shenyang Agricultural University, Shenyang, China.
Qing HanCollege of Agronomy, Shenyang Agricultural University, Shenyang, China.
Anning XuCollege of Agronomy, Shenyang Agricultural University, Shenyang, China.
Chunji JiangCollege of Agronomy, Shenyang Agricultural University, Shenyang, China.
Xin MaChina National Tobacco Corporation Liaoning Provincial Company, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbes in the rhizosphere make significant contributions to nutrient cycling and plant health maintenance. Tobacco is an important commercial crop, and the methods used for seedling cultivation significantly influence the rhizosphere soil microenvironment. Compared to conventional seedling practices, the use of agricultural waste-such as sunflower straw-to fabricate biodegradable nursery containers represents an environmentally friendly alternative technology. This approach may exert specific potential effects on the structure and function of microbial communities in the tobacco rhizosphere. In this study, Yunyan-301 was used as the test material, and field experiments were carried out at two test sites (BT and HCZ). Each site included two treatments: conventional seedling cultivation (CK) and sunflower straw-based natural bowl seedling cultivation (T). While tobacco was harvested, a rhizosphere soil sample of tobacco was collected for microbial analysis. The results showed that sunflower straw-based natural bowl seedling cultivation led to a less diverse but functionally specialized microbial community. The specific alterations in the abundance of core taxa (e.g., Proteobacteria, Acidobacteria,

Indexed as

microbial ecological functionrhizoshere microbiomeseedling cultivationsunflower stalk valorizationtobacco

Identifiers

PMID41140400
PMCPMC12546116

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.