Evidence map›Paper›PMID 38463566›Full record

ArticleFrontiers in plant science2024

Disease spectrum and its molecular characterisation in the lentil production system of lower-Indo Gangetic plains.

Huma Nazneen, Raju Das, Arpita Das, Subrata Dutta, Sudip Bhattacharya, Subhas Patar, Subhadeep Roy, Sanjeev Gupta, Shiv Kumar

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Article in Frontiers in plant science, 2024. 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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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Huma NazneenBidhan Chandra Krishi Viswavidyalaya, Mohanpur, West Bengal, India.
Raju DasBidhan Chandra Krishi Viswavidyalaya, Mohanpur, West Bengal, India.
Arpita DasBidhan Chandra Krishi Viswavidyalaya, Mohanpur, West Bengal, India.
Subrata DuttaBidhan Chandra Krishi Viswavidyalaya, Mohanpur, West Bengal, India.
Sudip BhattacharyaBidhan Chandra Krishi Viswavidyalaya, Mohanpur, West Bengal, India.
Subhas PatarBidhan Chandra Krishi Viswavidyalaya, Mohanpur, West Bengal, India.
Subhadeep RoyBidhan Chandra Krishi Viswavidyalaya, Mohanpur, West Bengal, India.
Sanjeev GuptaDivision of Crop Science, Indian Council of Agricultural Research, Krishi Bhawan, New Delhi, India.
Shiv KumarSouth Asia & China Regional Programme, International Centre for Agricultural Research in the Dry Areas (ICARDA), New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lentil is a food legume grown in the Indo-Gangetic plains including lower Gangetic Bengal (LGB). Lentil productivity in this zone is severely impeded because of the prevalence of several biotic cues. Plausible reports regarding the status of disease scenario and the associated risk factors are missing. Therefore, judicious crop management strategies are lacking. An intensive survey of 267 farmers' fields was conducted over 3 years in major lentil-growing districts of LGB to evaluate the disease incidence and prevalence. Additional insights were generated, apprehending isolation and characterisation of associated pathogens through spore morphology and molecular markers as well as elucidating the role of biophysical factors in influencing disease development. Climate change has shifted the disease dimension of lentil and precipitated new disease complexes of great risk, which was reflected through geospatial mapping results in the present study. The prevalence of three major diseases, namely collar rot (

Indexed as

blight complexcollar rotGeospatial mappinglentilmolecular characterizationrust

Identifiers

PMID38463566
PMCPMC10920269

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