Evidence map›Paper›PMID 36760641›Full record

ArticleFrontiers in plant science2023

Soil amendment with cow dung modifies the soil nutrition and microbiota to reduce the ginseng replanting problem.

Setu Bazie Tagele, Ryeong-Hui Kim, Minsoo Jeong, Kyeongmo Lim, Da-Ryung Jung, Dokyung Lee, Wanro Kim, Jae-Ho Shin

Abstract read
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Current obstacles for continuous cropping ofJournal of ginseng research · 2026
    Review
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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

8 authors.

Setu Bazie TageleDepartment of Applied Biosciences, Kyungpook National University, Daegu, Republic of Korea.
Ryeong-Hui KimDepartment of Integrative Biology, Kyungpook National University, Daegu, Republic of Korea.
Minsoo JeongDepartment of Applied Biosciences, Kyungpook National University, Daegu, Republic of Korea.
Kyeongmo LimDepartment of Applied Biosciences, Kyungpook National University, Daegu, Republic of Korea.
Da-Ryung JungDepartment of Applied Biosciences, Kyungpook National University, Daegu, Republic of Korea.
Dokyung LeeDepartment of Integrative Biology, Kyungpook National University, Daegu, Republic of Korea.
Wanro KimDepartment of Applied Biosciences, Kyungpook National University, Daegu, Republic of Korea.
Jae-Ho ShinDepartment of Applied Biosciences, Kyungpook National University, Daegu, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ginseng is a profitable crop worldwide; however, the ginseng replanting problem (GRP) is a major threat to its production. Soil amendment is a non-chemical method that is gaining popularity for alleviating continuous cropping obstacles, such as GRP. However, the impact of soil amendment with either cow dung or canola on GRP reduction and the associated soil microbiota remains unclear. In the present study, we evaluated the effect of soil amendment with cow dung, canola seed powder, and without amendment (control), on the survival of ginseng seedling transplants, the soil bacterial and fungal communities, and their associated metabolic functions. The results showed that cow dung increased ginseng seedling survival rate by 100 percent and had a remarkable positive effect on ginseng plant growth compared to control, whereas canola did not. Cow dung improved soil nutritional status in terms of pH, electrical conductivity,

Indexed as

co-occurrence networkfunctional predictionginsengillumina miseqreplant failuresoil microbiome

Identifiers

PMID36760641
PMCPMC9902886

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Registered trials

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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.