Evidence map›Paper›PMID 32849733›Full record

ArticleFrontiers in plant science2020

Genome-Wide Association Mapping Identifies Novel Loci for Quantitative Resistance to Blackleg Disease in Canola.

Harsh Raman, Brett McVittie, Ramethaa Pirathiban, Rosy Raman, Yuanyuan Zhang, Denise M Barbulescu, Yu Qiu, Shengyi Liu, Brian Cullis

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Improved bivariate analysis of canola survivability against blackleg disease.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  3. Article
  4. Current issues in molecular biology · 2023
    Review
  5. Review
  6. Article
  7. Review
  8. Article
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  10. Review
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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

9 authors at 4 institutions in 2 countries.

Harsh RamanNSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, Australia.
Brett McVittieNSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, Australia.
Ramethaa PirathibanCentre for Bioinformatics and Biometrics, National Institute for Applied Statistics Research Australia, University of Wollongong, Wollongong, NSW, Australia.
Rosy RamanNSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, Australia.
Yuanyuan ZhangOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China.
Denise M BarbulescuDepartment of Jobs, Precincts and Regions, Agriculture Victoria, Horsham, VIC, Australia.
Yu QiuNSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, Australia.
Shengyi LiuOil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China.
Brian CullisCentre for Bioinformatics and Biometrics, National Institute for Applied Statistics Research Australia, University of Wollongong, Wollongong, NSW, Australia.
Wagga Wagga Base Hospital · AUAustralian Bureau of Statistics · AUChinese Academy of Agricultural Sciences · CNAgriculture Victoria · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blackleg disease, caused by the fungal pathogen

Indexed as

canolagenome-wide association analysisLeptosphaeria maculanslinkage disequilibriumnatural variationresistance to blackleg

Identifiers

PMID32849733
PMCPMC7432127
OpenAlexW3047792866

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.