Evidence map›Paper›PMID 30934757›Full record

ReviewMolecules (Basel, Switzerland)2019

Alternative Molecular-Based Diagnostic Methods of Plant Pathogenic Fungi Affecting Berry Crops-A Review.

Dominika Malarczyk, Jacek Panek, Magdalena Frąc

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. The Antifungal Effect of Pyroligneous Acid on the Phytopathogenic FungusInternational journal of molecular sciences · 2023
    Article
  5. Soil mycobiome in sustainable agriculture.Frontiers in microbiology · 2022
    Review
  6. International journal of molecular sciences · 2021
    Article
  7. Article
  8. EndophyticPlants (Basel, Switzerland) · 2020
    Article
  9. How DoInternational journal of molecular sciences · 2020
    Article
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.

Dominika MalarczykInstitute of Agrophysics, Polish Academy of Sciences, 20-290 Lublin, Poland. d.malarczyk@ipan.lublin.pl.ORCID 0000-0001-8547-8510
Jacek PanekInstitute of Agrophysics, Polish Academy of Sciences, 20-290 Lublin, Poland. j.panek@ipan.lublin.pl.ORCID 0000-0002-9217-5902
Magdalena FrącInstitute of Agrophysics, Polish Academy of Sciences, 20-290 Lublin, Poland. m.frac@ipan.lublin.pl.

Funding

Narodowe Centrum Badań i Rozwoju BIOSTRATEG3/344433/16/NCBR/2018
6 · The paper itself

Abstract

Increasing consumer awareness of potentially harmful pesticides used in conventional agriculture has prompted organic farming to become notably more prevalent in recent decades. Central European countries are some of the most important producers of blueberries, raspberries and strawberries in the world and organic cultivation methods for these fruits have a significant market share. Fungal pathogens are considered to be the most significant threat to organic crops of berries, causing serious economic losses and reducing yields. In order to ameliorate the harmful effects of pathogenic fungi on cultivations, the application of rapid and effective identification methods is essential. At present, various molecular methods are applied for fungal species recognition, such as PCR, qPCR, LAMP and NGS.

Indexed as

Crops, AgriculturalMolecular Diagnostic TechniquesDNA, Ribosomal SpacerFungiPhenotypePlant DiseasesRosaceaeDNA, Ribosomal SpacerBotrytis cinereaColletotrichum acutatummolecular identificationorganic agriculturePCRphytopathogenic fungiPhytophthora spp.qPCRstrawberryVerticillium spp.

Identifiers

PMID30934757
PMCPMC6479758

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.