Evidence map›Paper›PMID 33467413›Full record

ArticlePlants (Basel, Switzerland)2021

Image-Based Methods to Score Fungal Pathogen Symptom Progression and Severity in Excised

Mirko Pavicic, Kirk Overmyer, Attiq Ur Rehman, Piet Jones, Daniel Jacobson, Kristiina Himanen

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

6 authors.

Mirko PavicicOak Ridge National Laboratory, 1 Bethel Valley Rd, Oak Ridge, TN 37830, USA.ORCID 0000-0002-2908-3183
Kirk OvermyerOrganismal and Evolutionary Biology Research Program, Viikki Plant Science Centre, Faculty of Biological and Environmental Sciences, Viikinkaari 1, University of Helsinki, 00790 Helsinki, Finland.ORCID 0000-0002-7398-3453
Attiq Ur RehmanDepartment of Agricultural Sciences, Viikki Plant Science Centre, Faculty of Agriculture and Forestry, University of Helsinki, Latokartanonkaari 7, 00790 Helsinki, Finland.ORCID 0000-0002-0131-3928
Piet JonesOak Ridge National Laboratory, 1 Bethel Valley Rd, Oak Ridge, TN 37830, USA.ORCID 0000-0003-3645-7021
Daniel JacobsonOak Ridge National Laboratory, 1 Bethel Valley Rd, Oak Ridge, TN 37830, USA.ORCID 0000-0002-9822-8251
Kristiina HimanenDepartment of Agricultural Sciences, Viikki Plant Science Centre, Faculty of Agriculture and Forestry, University of Helsinki, Latokartanonkaari 7, 00790 Helsinki, Finland.ORCID 0000-0003-4975-9467

Funding

Academy of Finland 250972Academy of Finland 256094Academy of Finland 283138
6 · The paper itself

Abstract

Image-based symptom scoring of plant diseases is a powerful tool for associating disease resistance with plant genotypes. Advancements in technology have enabled new imaging and image processing strategies for statistical analysis of time-course experiments. There are several tools available for analyzing symptoms on leaves and fruits of crop plants, but only a few are available for the model plant

Indexed as

ArabidopsisBotrytischlorophyll fluorescencedisease symptomhigh-throughputimaging sensorsplant phenotyping

Identifiers

PMID33467413
PMCPMC7830641

What OpenQuestion holds

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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.