Evidence map›Paper›PMID 41028580›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

A Blotting Paper Technique for the Screening of Chickpea Genotypes Against Dry Root Rot Disease.

Athimoolam Durgadevi, Prachi Pandey, Muthappa Senthil-Kumar

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Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Athimoolam DurgadeviBRIC-National Institute of Plant Genome Research, New Delhi, Delhi, India.
Prachi PandeyBRIC-National Institute of Plant Genome Research, New Delhi, Delhi, India.
Muthappa Senthil-KumarBRIC-National Institute of Plant Genome Research, New Delhi, Delhi, India. skmuthappa@nipgr.ac.in.ORCID https://orcid.org/0000-0003-1502-1659

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dry root rot (DRR) disease is a major threat to chickpea production across the world. This disease is caused by a soil-borne necrotrophic fungal pathogen, Macrophomina phaseolina. The use of disease-resistant varieties paves the way to conquer the disease spread. Though chickpea germplasm with rich genetic diversity is available around the world, its response to DRR is still unexplored. In turn, this demands screening and identification of resistant genotypes for crop protection against the disease. Here we describe an improved blotting paper technique for the large-scale screening of chickpea genotypes for DRR resistance. The method is quick, cost-effective, less labour-intensive, and thus optimized for high-throughput screening and can be efficiently used to screen a large number of chickpea genotypes for resistance against DRR.

Indexed as

AscomycotaCicerDisease ResistancePlant DiseasesPlant RootsGenotypeBlotting paper techniqueChickpeaDisease resistanceDry root rotMacrophomina phaseolinaScreening

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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.