Evidence map›Paper›PMID 34535887›Full record

ArticleJournal of applied genetics2022

High-resolution mapping of the quantitative trait locus (QTLs) conferring resistance to false smut disease in rice.

Kumari Neelam, Kishor Kumar, Amandeep Kaur, Amit Kishore, Pavneet Kaur, Ankita Babbar, Gurwinder Kaur, Ishwinder Kamboj, Jagjeet Singh Lore, Yogesh Vikal and 4 more

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Article in Journal of applied genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.9field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
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  4. Article
  5. The Role of Genetic Resistance in Rice Disease Management.International journal of molecular sciences · 2025
    Review
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4 · The record

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5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Kumari NeelamSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India. kneelam@pau.edu.ORCID http://orcid.org/0000-0001-7816-3860
Kishor KumarSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.
Amandeep KaurSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.
Amit KishoreAccuScript Consultancy, Ludhiana, Punjab, 141004, India.
Pavneet KaurSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.
Ankita BabbarSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.
Gurwinder KaurSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.
Ishwinder KambojDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.
Jagjeet Singh LoreDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.
Yogesh VikalSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.
G S MangatDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.
Rupinder KaurDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.
Renu KhannaDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.
Kuldeep SinghSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.
Punjab Agricultural University · INNational Bureau of Plant Genetic Resources · INRamakrishna Mission Vivekananda Educational and Research Institute · IN

Funding

ICAR CS/F.No. 16-8/17-IA IV
6 · The paper itself

Abstract

Rice false smut (RFS), an emerging major fungal disease worldwide caused by Ustilaginoidea virens, affects rice grain quality and yield. RFS cause 2.8-49% global yield loss depending upon disease severity and cultivars. In India, the yield loss due to RFS ranged from 2 to 75%. Identification of the genes or quantitative trait loci (QTLs) governing disease resistance would be of utmost importance towards mitigating the economic losses incurred due to RFS. Here, we report mapping of RFS resistance QTLs from a resistant breeding line RYT2668. The mapping population was evaluated for RFS resistance under the field condition in three cropping seasons 2013, 2015, and 2016. A positive correlation among infected panicle/plant, total smut ball/panicle, and disease score was observed in the years 2013, 2015, and the mean data. A total of seven QTLs were mapped on rice chromosomes 2, 4, 5, 7, and 9 using 2326 single nucleotide polymorphism markers. Of these, two QTLs, qRFSr5.3 and qRFSr7.1a, were associated with the infected panicle per plant, one QTL qRFsr9.1 with total smut ball per panicle, and four QTLs qRFSr2.2, qRFSr4.3, qRFSr5.4, and qRFSr7.1b with disease score. Among them, a novel QTL qRFSr9.1 on chromosome 9 exhibits the largest phenotypic effect. The prediction of putative candidate genes within the qRFSr9.1 revealed four nucleotide-binding sites-leucine-rich repeat (NBS-LRR) domain-containing disease resistance proteins. In summary, our findings mark the hotspot region of rice chromosomes carrying genes/QTLs for resistance to the RFS disease.

Indexed as

OryzaQuantitative Trait LociChromosome MappingDisease ResistancePlant BreedingMap-based cloningMarker-assisted selectionNBS-LRRQTL mappingR genesRice false smutUstilaginoidea virens

Identifiers

PMID34535887
OpenAlexW3137450319

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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.