Evidence map›Paper›PMID 34115214›Full record

ArticleMolecular genetics and genomics : MGG2021

WheatQTLdb: a QTL database for wheat.

Kalpana Singh, Ritu Batra, Shiveta Sharma, Gautam Saripalli, Tinku Gautam, Rakhi Singh, Sunita Pal, Parveen Malik, Manoj Kumar, Irfat Jan and 20 more

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In one paragraph

Article in Molecular genetics and genomics : MGG, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 pooled it
15.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

36 citing papers in PubMed, 3 syntheses or guidelines pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Meta-QTLs, ortho-meta-QTLs and candidate genes for grain yield and associated traits in wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Pooled it
  3. Pooled it
  4. Identification of stripe rust resistance loci in Gansu wheat landraces using genome-wide association analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
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  7. The Role ofInternational journal of molecular sciences · 2025
    Review
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  11. Nitrogen deficiency tolerance conferred by introgression of a QTL derived from wild emmer into bread wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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  15. Meta-QTLs, ortho-meta QTLs and related candidate genes for yield and its component traits under water stress in wheat (Physiology and molecular biology of plants : an international journal of functional plant biology · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors at 1 institution in 1 country.

Kalpana SinghDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Ritu BatraDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Shiveta SharmaDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Gautam SaripalliDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Tinku GautamDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Rakhi SinghDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Sunita PalDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Parveen MalikDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Manoj KumarDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Irfat JanDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Sahadev SinghDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Deepak KumarDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Saksham PundirDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Deepti ChaturvediDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Anjali VermaDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Anshu RaniDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Anuj KumarDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Hemant SharmaDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Jyoti ChaudharyDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Kuldeep KumarDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Sourabh KumarDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Vikas Kumar SinghDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Vivudh Pratap SinghDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Sachin KumarDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Rahul KumarDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Shailendra Singh GauravDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Shailendra SharmaDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Pradeep Kumar SharmaDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Harindra Singh BalyanDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India.
Pushpendra Kumar GuptaDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, 250004, India. pkgupta36@gmail.com.ORCID http://orcid.org/0000-0001-7638-6171
Chaudhary Charan Singh University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the last three decades, QTL analysis in wheat has been conducted for a variety of individual traits, so that thousands of QTL along with the linked markers, their genetic positions and contribution to phenotypic variation (PV) for concerned traits are now known. However, no exhaustive database for wheat QTL is currently available at a single platform. Therefore, the present database was prepared which is an exhaustive information resource for wheat QTL data from the published literature till May, 2020. QTL data from both interval mapping and genome-wide association studies (GWAS) have been included for the following classes of traits: (i) morphological traits, (ii) N and P use efficiency, (iii) traits for biofortification (Fe, K, Se, and Zn contents), (iv) tolerance to abiotic stresses including drought, water logging, heat stress, pre-harvest sprouting and salinity, (v) resistance to biotic stresses including those due to bacterial, fungal, nematode and insects, (vi) quality traits, and (vii) a variety of physiological traits, (viii) developmental traits, and (ix) yield and its related traits. For the preparation of the database, literature was searched for data on QTL/marker-trait associations (MTAs), curated and then assembled in the form of WheatQTLdb. The available information on metaQTL, epistatic QTL and candidate genes, wherever available, is also included in the database. Information on QTL in this WheatQTLdb includes QTL names, traits, associated markers, parental genotypes, crosses/mapping populations, association mapping panels and other useful information. To our knowledge, WheatQTLdb prepared by us is the largest collection of QTL (11,552), epistatic QTL (107) and metaQTL (330) data for hexaploid wheat to be used by geneticists and plant breeders for further studies involving fine mapping, cloning, and marker-assisted selection (MAS) during wheat breeding.

Indexed as

Databases, GeneticQuantitative Trait LociEpistasis, GeneticInternetTriticumUser-Computer InterfaceEpistatic QTLGWASmetaQTLMTAQTL databaseWheatQTLdb

Identifiers

PMID34115214
OpenAlexW3169369675

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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.