Evidence map›Paper›PMID 32656053›Full record

Review3 Biotech2020

Exploring the efficacy of antagonistic rhizobacteria as native biocontrol agents against tomato plant diseases.

S Karthika, Sherin Varghese, M S Jisha

Abstract readReview
In one paragraph

Review in 3 Biotech, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Plants (Basel, Switzerland) · 2026
    Review
  4. Endophytic and antagonisticFrontiers in microbiology · 2025
    Article
  5. Article
  6. Biopesticides: a Green Approach Towards Agricultural Pests.Applied biochemistry and biotechnology · 2024
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Fungicidal and plant growth-promoting traits ofFrontiers in plant science · 2023
    Article
  13. Article
  14. New Insights intoMicroorganisms · 2022
    Article
  15. Review
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

3 authors.

S KarthikaSchool of Biosciences, Mahatma Gandhi University, Kottayam, Kerala 686560 India.
Sherin VargheseSchool of Biosciences, Mahatma Gandhi University, Kottayam, Kerala 686560 India.
M S JishaSchool of Biosciences, Mahatma Gandhi University, Kottayam, Kerala 686560 India.ORCID 0000-0002-1788-3802

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the environmental and health concerns alert the necessity to move towards a sustainable agriculture system, biological approach using indigenous plant growth-promoting rhizobacteria (PGPR) gains a strong impetus in the field of plant disease control. In this context, the present review article addresses the usage of rhizospheric antagonistic bacteria as a suitable alternative to control tomato fungal diseases namely Fusarium wilt and early blight disease. Biological control has been considered to be an eco-friendly, safe and effective method for disease management. The inherent traits of PGPR to antagonize a pathogen through various mechanisms has been investigated extensively to utilize them as potent biocontrol agents (BCA). Hence, the article provides a detailed account on different biocontrol mechanisms displayed by BCA. It is also suggested that the use of bacterial consortium ensures consistent performance by BCA in field conditions. Likewise, this review also deals with the opportunities and obstacles faced during commercialization of these antagonistic bacteria as biocontrol agents in the market.

Indexed as

BiocontrolBioformulationPlant growth-promoting rhizobacteriaTomato diseases

Identifiers

PMID32656053
PMCPMC7320969

What OpenQuestion holds

Textmetadata
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.