Evidence map›Paper›PMID 28445532›Full record

ArticlePloS one2017

Use of molecular markers in identification and characterization of resistance to rice blast in India.

Manoj Kumar Yadav, Aravindan S, Umakanta Ngangkham, H N Shubudhi, Manas Kumar Bag, Totan Adak, Sushmita Munda, Sanghamitra Samantaray, Mayabini Jena

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
9.6field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 45 citations in OpenAlex.

  1. Cloning ofPlants (Basel, Switzerland) · 2026
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  15. Molecular Genetics and Breeding for Nutrient Use Efficiency in Rice.International journal of molecular sciences · 2018
    Review
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Manoj Kumar YadavICAR-National Rice Research Institute, Cuttack, Odisha, India.ORCID http://orcid.org/0000-0002-5771-0770
Aravindan SICAR-National Rice Research Institute, Cuttack, Odisha, India.
Umakanta NgangkhamICAR-National Rice Research Institute, Cuttack, Odisha, India.
H N ShubudhiICAR-National Rice Research Institute, Cuttack, Odisha, India.
Manas Kumar BagICAR-National Rice Research Institute, Cuttack, Odisha, India.
Totan AdakICAR-National Rice Research Institute, Cuttack, Odisha, India.
Sushmita MundaICAR-National Rice Research Institute, Cuttack, Odisha, India.
Sanghamitra SamantarayICAR-National Rice Research Institute, Cuttack, Odisha, India.
Mayabini JenaICAR-National Rice Research Institute, Cuttack, Odisha, India.
Central Rice Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice blast disease caused by Magnaporthe oryzae is one of the most destructive disease causing huge losses to rice yield in different parts of the world. Therefore, an attempt has been made to find out the resistance by screening and studying the genetic diversity of eighty released rice varieties by National Rice Research Institute, Cuttack (NRVs) using molecular markers linked to twelve major blast resistance (R) genes viz Pib, Piz, Piz-t, Pik, Pik-p, Pikm Pik-h, Pita/Pita-2, Pi2, Pi9, Pi1 and Pi5. Out of which, nineteen varieties (23.75%) showed resistance, twenty one were moderately resistant (26.25%) while remaining forty varieties (50%) showed susceptible in uniform blast nursery. Rice varieties possessing blast resistance genes varied from four to twelve and the frequencies of the resistance genes ranged from 0 to 100%. The cluster analysis grouped the eighty NRVs into two major clusters at 63% level of genetic similarity coefficient. The PIC value for seventeen markers varied from 0 to 0.37 at an average of 0.20. Out of seventeen markers, only five markers, 195R-1, Pi9-i, Pita3, YL155/YL87 and 40N23r corresponded to three broad spectrum R genes viz. Pi9, Pita/Pita2 and Pi5 were found to be significantly associated with the blast disease with explaining phenotypic variance from 3.5% to 7.7%. The population structure analysis and PCoA divided the entire 80 NRVs into two sub-groups. The outcome of this study would help to formulate strategies for improving rice blast resistance through genetic studies, plant-pathogen interaction, identification of novel R genes, development of new resistant varieties through marker-assisted breeding for improving rice blast resistance in India and worldwide.

Indexed as

Genes, PlantAllelesCluster AnalysisDisease ResistanceGene FrequencyGenetic MarkersGenetic VariationIndiaMagnaportheOryzaPhenotypePlant DiseasesPlant ProteinsGenetic MarkersPlant Proteins

Identifiers

PMID28445532
PMCPMC5405977
OpenAlexW2609469302

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.