Evidence map›Paper›PMID 41377047›Full record

ArticleFrontiers in microbiology2025

Isolation of plant growth-promoting rhizobacteria from wild-simulated ginseng and evaluation of soil health following its application in the field.

Seok Hui Lee, Yeong-Bae Yun, Dae Sol Kim, Myeongbin Park, Yurry Um, Jun Won Kang

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. 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

6 authors.

Seok Hui Lee *Department of Forestry, School of Forest Sciences and Landscape Architecture, Kyungpook National University, Daegu, Republic of Korea.
Yeong-Bae Yun *Forest Medicinal Resources Research Center, National Institute of Forest Science, Yeongju, Republic of Korea.
Dae Sol KimDepartment of Forestry, School of Forest Sciences and Landscape Architecture, Kyungpook National University, Daegu, Republic of Korea.
Myeongbin ParkForest Medicinal Resources Research Center, National Institute of Forest Science, Yeongju, Republic of Korea.
Yurry UmForest Medicinal Resources Research Center, National Institute of Forest Science, Yeongju, Republic of Korea.
Jun Won KangDepartment of Forestry, School of Forest Sciences and Landscape Architecture, Kyungpook National University, Daegu, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wild-simulated ginseng must be cultivated at natural forest sites without artificial structures, chemical fertilizers, or pesticides to qualify for certification. However, its extended cultivation period makes stable production challenging, necessitating effective strategies to enhance early growth and yield. In this study, we evaluated the ability of five bacterial strains isolated from the rhizosphere of wild-simulated ginseng to promote initial growth and development. The strains exhibited diverse functional traits, including indole-3-acetic acid (IAA) production, phosphate solubilization, siderophore production, and enzymatic activities such as protease and cellulase. Antifungal activity, however, was primarily observed in strains 79 and 81. We inoculated field-grown ginseng plants with each strain at biweekly intervals for a total of seven applications. Inoculation with strain 75 (

Indexed as

Paenibacillus terraeParaburkholderia madsenianaParaburkholderia terricolaplant growth-promoting rhizobacteriaPseudomonas frederiksbergensissoil stability

Identifiers

PMID41377047
PMCPMC12685894

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.