Evidence map›Paper›PMID 35154177›Full record

ArticleFrontiers in plant science2021

Cucurbitaceae COld Peeling Extracts (CCOPEs) Protect Plants From Root-Knot Nematode Infections Through Induced Resistance and Nematicidal Effects.

Jonas De Kesel, Eva Degroote, Radisras Nkurunziza, Richard Raj Singh, Kristof Demeestere, Karen De Kock, Riska Anggraini, Jasper Matthys, Eva Wambacq, Geert Haesaert and 2 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Jonas De KeselDepartment of Biotechnology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
Eva DegrooteDepartment of Biotechnology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
Radisras NkurunzizaDepartment of Biotechnology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
Richard Raj SinghDepartment of Biotechnology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
Kristof DemeestereDepartment of Green Chemistry and Technology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
Karen De KockDepartment of Biotechnology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
Riska AnggrainiDepartment of Biotechnology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
Jasper MatthysDepartment of Biotechnology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
Eva WambacqDepartment of Plants and Crops, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
Geert HaesaertDepartment of Plants and Crops, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
Jane DebodeFlanders Research Institute for Agriculture, Fisheries and Food (ILVO), Merelbeke, Belgium.
Tina KyndtDepartment of Biotechnology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With nematicides progressively being banned due to their environmental impact, an urgent need for novel and sustainable control strategies has arisen. Stimulation of plant immunity, a phenomenon referred to as "induced resistance" (IR), is a promising option. In this study, Cucurbitaceae COld Peeling Extracts (CCOPEs) were shown to protect rice (

Indexed as

induced resistanceMeloidogyne spp.plant protection productsricetomatovalorization of waste streams

Identifiers

PMID35154177
PMCPMC8826469

What OpenQuestion holds

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LicenceCC BY
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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.