Evidence map›Paper›PMID 37546261›Full record

ArticleFrontiers in plant science2023

Marker-assisted selection for transfer of QTLs to a promising line for drought tolerance in wheat (

V P Sunilkumar, Hari Krishna, Narayana Bhat Devate, Karthik Kumar Manjunath, Divya Chauhan, Shweta Singh, Nivedita Sinha, Jang Bahadur Singh, Prakasha T L, Dharam Pal and 4 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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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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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Transcriptional gene network involved in drought stress response: application for crop breeding in the context of climate change.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

V P SunilkumarIndian Agricultural Research Institute, ICAR, New Delhi, India.
Hari KrishnaIndian Agricultural Research Institute, ICAR, New Delhi, India.
Narayana Bhat DevateIndian Agricultural Research Institute, ICAR, New Delhi, India.
Karthik Kumar ManjunathIndian Agricultural Research Institute, ICAR, New Delhi, India.
Divya ChauhanIndian Agricultural Research Institute, ICAR, New Delhi, India.
Shweta SinghIndian Agricultural Research Institute, ICAR, New Delhi, India.
Nivedita SinhaIndian Agricultural Research Institute, ICAR, New Delhi, India.
Jang Bahadur SinghIndian Agricultural Research Institute, ICAR, New Delhi, India.
Prakasha T LIndian Agricultural Research Institute, ICAR, New Delhi, India.
Dharam PalIndian Agricultural Research Institute, ICAR, New Delhi, India.
M SivasamyIndian Agricultural Research Institute, ICAR, New Delhi, India.
Neelu JainIndian Agricultural Research Institute, ICAR, New Delhi, India.
Gyanendra Pratap SinghNational Bureau of Plant Genetic Resources, ICAR, New Delhi, India.
Pradeep Kumar SinghIndian Agricultural Research Institute, ICAR, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wheat crop is subjected to various biotic and abiotic stresses, which affect crop productivity and yield. Among various abiotic stresses, drought stress is a major problem considering the current global climate change scenario. A high-yielding wheat variety, HD3086, has been released for commercial cultivation under timely sown irrigated conditions for the North Western Plain Zone (NWPZ) and North Eastern Plain Zone NEPZ of India. Presently, HD3086 is one of the highest breeder seed indented wheat varieties and has a stable yield over the years. However, under moisture deficit conditions, its potential yield cannot be achieved. The present study was undertaken to transfer drought-tolerant QTLs in the background of the variety HD3086 using marker-assisted backcross breeding. QTLs governing Biomass (BIO), Canopy Temperature (CT), Thousand Kernel Weight (TKW), Normalized Difference Vegetation Index (NDVI), and Yield (YLD) were transferred to improve performance under moisture deficit conditions. In BC

Indexed as

drought toleranceforeground selectionHD3086MABBQTLs

Identifiers

PMID37546261
PMCPMC10401266

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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.