Evidence map›Paper›PMID 36897889›Full record

ArticlePloS one2023

Phenotypic and Genotypic screening of fifty-two rice (Oryza sativa L.) genotypes for desirable cultivars against blast disease.

Jeevan B, Rajashekara Hosahatti, Prasanna S Koti, Vinaykumar Hargi Devappa, Umakanta Ngangkham, Pramesh Devanna, Manoj Kumar Yadav, Krishna Kant Mishra, Jay Prakash Aditya, Palanna Kaki Boraiah and 2 more

Open access · goldFull text read
In one paragraph

Article in PloS one, 2023. 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
2.8field-weighted citation impact, top 9% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Unraveling the pathogenomics ofFrontiers in microbiology · 2025
    Article
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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

12 authors at 8 institutions in 3 countries.

Jeevan BICAR-Vivekananda Parvatiya Krishi Anusandhan Sansthan, Almora, Uttarakhand, India.
Rajashekara HosahattiICAR-Vivekananda Parvatiya Krishi Anusandhan Sansthan, Almora, Uttarakhand, India.
Prasanna S KotiThe University of Trans-Disciplinary Health Sciences and Technology, Jarakabande Kaval, Bengaluru, Karnataka, India.
Vinaykumar Hargi DevappaProject Coordinating Unit, ICAR-AICRP on Small Millets, UAS, GKVK, Bengaluru, Karnataka, India.
Umakanta NgangkhamICAR- Research Complex for North- Eastern Hill Region, Manipur centre, Imphal, Manipur, India.
Pramesh DevannaRice Pathology Laboratory, AICRIP, Gangavathi, University of Agricultural Sciences, Raichur, Karnataka, India.
Manoj Kumar YadavICAR-Indian Agricultural Research Institute, Regional Station, Karnal, Haryana, India.
Krishna Kant MishraICAR-Vivekananda Parvatiya Krishi Anusandhan Sansthan, Almora, Uttarakhand, India.
Jay Prakash AdityaICAR-Vivekananda Parvatiya Krishi Anusandhan Sansthan, Almora, Uttarakhand, India.
Palanna Kaki BoraiahProject Coordinating Unit, ICAR-AICRP on Small Millets, UAS, GKVK, Bengaluru, Karnataka, India.
Ahmed GaberDepartment of Biology, College of Science, Taif University, Taif, Saudi Arabia.
Akbar HossainDepartment of Agronomy, Bangladesh Wheat and Maize Research Institute, Dinajpur, Bangladesh.ORCID 0000-0003-0264-2712
Vivekananda Parvatiya Krishi Anusandhan Sansthan · INIndian Council of Agricultural Research · INBangladesh Wheat and Maize Research Institute · BDICAR Research Complex for NEH Region · INIndian Agricultural Research Institute · INTaif University · SAUniversity of Agricultural Sciences Raichur · INUniversity of Trans-Disciplinary Health Sciences and Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnaporthe oryzae, the rice blast fungus, is one of the most dangerous rice pathogens, causing considerable crop losses around the world. In order to explore the rice blast-resistant sources, initially performed a large-scale screening of 277 rice accessions. In parallel with field evaluations, fifty-two rice accessions were genotyped for 25 major blast resistance genes utilizing functional/gene-based markers based on their reactivity against rice blast disease. According to the phenotypic examination, 29 (58%) and 22 (42%) entries were found to be highly resistant, 18 (36%) and 29 (57%) showed moderate resistance, and 05 (6%) and 01 (1%), respectively, were highly susceptible to leaf and neck blast. The genetic frequency of 25 major blast resistance genes ranged from 32 to 60%, with two genotypes having a maximum of 16 R-genes each. The 52 rice accessions were divided into two groups based on cluster and population structure analysis. The highly resistant and moderately resistant accessions are divided into different groups using the principal coordinate analysis. According to the analysis of molecular variance, the maximum diversity was found within the population, while the minimum diversity was found between the populations. Two markers (RM5647 and K39512), which correspond to the blast-resistant genes Pi36 and Pik, respectively, showed a significant association to the neck blast disease, whereas three markers (Pi2-i, Pita3, and k2167), which correspond to the blast-resistant genes Pi2, Pita/Pita2, and Pikm, respectively, showed a significant association to the leaf blast disease. The associated R-genes might be utilized in rice breeding programmes through marker-assisted breeding, and the identified resistant rice accessions could be used as prospective donors for the production of new resistant varieties in India and around the world.

Indexed as

MagnaportheOryzaAscomycotaDisease ResistanceGenetic MarkersGenotypePlant BreedingPlant DiseasesGenetic Markers

Identifiers

PMID36897889
PMCPMC10004593
OpenAlexW4323809651

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read1
measurements read44
identifiers read13
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.