Evidence map›Paper›PMID 39345949›Full record

ReviewCurrent research in microbial sciences2024

Direct and indirect technical guide for the early detection and management of fungal plant diseases.

Gargi Sharma, Vagish Dwibedi, Chandra Shekhar Seth, Simranjeet Singh, Praveen C Ramamurthy, Pooja Bhadrecha, Joginder Singh

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current research in microbial sciences, 2024. 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. 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

7 authors.

Gargi SharmaDepartment of Biotechnology, University Institute of Biotechnology, Chandigarh University, Gharuan, 140413, Punjab, India.
Vagish DwibediDepartment of Biotechnology, University Institute of Biotechnology, Chandigarh University, Gharuan, 140413, Punjab, India.
Chandra Shekhar SethDepartment of Botany, University of Delhi, Delhi, 110007, India.
Simranjeet SinghInterdisciplinary Centre for Water Research (ICWaR), Indian Institute of Science, Bengaluru, Karnataka, 560012.
Praveen C RamamurthyInterdisciplinary Centre for Water Research (ICWaR), Indian Institute of Science, Bengaluru, Karnataka, 560012.
Pooja BhadrechaDepartment of Biotechnology, University Institute of Biotechnology, Chandigarh University, Gharuan, 140413, Punjab, India.
Joginder SinghDepartment of Botany, Nagaland University, Lumami, Nagaland, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungal plant diseases are a major threat to plants and vegetation worldwide. Recent technological advancements in biotechnological tools and techniques have made it possible to identify and manage fungal plant diseases at an early stage. These techniques include direct methods, such as ELISA, immunofluorescence, PCR, flow cytometry, and in-situ hybridization, as well as indirect methods, such as fluorescence imaging, hyperspectral techniques, thermography, biosensors, nanotechnology, and nano-enthused biosensors. Early detection of fungal plant diseases can help to prevent major losses to plantations. This is because early detection allows for the implementation of control measures, such as the use of fungicides or resistant varieties. Early detection can also help to minimize the spread of the disease to other plants. The techniques discussed in this review provide a valuable resource for researchers and farmers who are working to prevent and manage fungal plant diseases. These techniques can help to ensure food security and protect our valuable plant resources.

Indexed as

DiagnosticsHyperspectral techniquesMetabolic fingerprintingNano -biosensors

Identifiers

PMID39345949
PMCPMC11428012

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.