Evidence map›Paper›PMID 42067762›Full record

ArticleBMC genomics2026

Identification of a robust QTL hotspot across environments governing drought tolerance in lentil (Lens culinaris Medikus).

Dharmendra Singh, Ankita Tripathi, Jyoti Taunk, Kishore Gaikwad, Madan Pal

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In one paragraph

Article in BMC genomics, 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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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Dharmendra SinghDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110 012, India. dharmendrapbg@rediffmail.com.
Ankita TripathiDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110 012, India.
Jyoti TaunkDivision of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, 110 012, India.
Kishore GaikwadICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110 012, India.
Madan PalDivision of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, 110 012, India.

Funding

CSIR, Ministry of Science and Technology, Govt. of India No. 38 (1483)/19/EMR-II
6 · The paper itself

Abstract

backgroundDrought stress significantly hinders the growth and productivity of many crops, including lentil. Hence, improving our understanding of the genetic and molecular bases underlying drought response is essential for mitigating yield losses under water-limited conditions. The primary objective of this study was to identify quantitative trait loci (QTLs) associated with various morpho-physiological traits using genotyping-by-sequencing (GBS) and to identify putative candidate genes contributing to drought tolerance in lentil.

resultA F

conclusionThe present study provides valuable insights into QTLs and SNPs associated with drought tolerance in lentil. The identification of a robust QTL hotspot region, together with key candidate genes, offers promising targets for fine mapping and development of marker assisted breeding strategies aimed at improving drought tolerance in lentil.

Indexed as

Drought ResistanceEnvironmentLens PlantQuantitative Trait LociChromosome MappingDroughtsPhenotypeStress, PhysiologicalCandidate genesddRAD sequencingDrought toleranceGenotyping-by-sequencingLentilQTLs

Identifiers

PMID42067762
PMCPMC13277157

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