Evidence map›Paper›PMID 37309486›Full record

ReviewMolecular breeding : new strategies in plant improvement2022

Comprehensive evaluation of mapping complex traits in wheat using genome-wide association studies.

Dinesh K Saini, Yuvraj Chopra, Jagmohan Singh, Karansher S Sandhu, Anand Kumar, Sumandeep Bazzer, Puja Srivastava

Abstract readReview
In one paragraph

Review in Molecular breeding : new strategies in plant improvement, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

77 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Review
  6. Article
  7. Genome wide association studies and expression analyses identify candidate genes for spot blotch resistance in bread wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  8. Article
  9. Genome-Wide Association Mapping of Resistance toPlants (Basel, Switzerland) · 2026
    Article
  10. Article
  11. Harnessing artificial intelligence in plant breeding: innovations in digital phenotyping and breeding methodologies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  12. Article
  13. Article
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  15. Meta-QTLs and candidate genes for kernel protein content in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
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  19. Review
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17 more citing papers are in PubMed but not listed here.

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

7 authors.

Dinesh K Saini *Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141004 India.
Yuvraj Chopra *College of Agriculture, Punjab Agricultural University, Ludhiana, 141004 India.
Jagmohan Singh *Division of Plant Pathology, Indian Agricultural Research Institute, New Delhi, 110012 India.
Karansher S Sandhu *Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99163 USA.
Anand Kumar *Department of Genetics and Plant Breeding, Chandra Shekhar Azad University of Agriculture and Technology, Kanpur, 202002 India.
Sumandeep Bazzer *Division of Plant Sciences, University of Missouri, Columbia, MO 65211 USA.
Puja Srivastava *Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141004 India.ORCID 0000-0002-9260-8931

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies (GWAS) are effectively applied to detect the marker trait associations (MTAs) using whole genome-wide variants for complex quantitative traits in different crop species. GWAS has been applied in wheat for different quality, biotic and abiotic stresses, and agronomic and yield-related traits. Predictions for marker-trait associations are controlled with the development of better statistical models taking population structure and familial relatedness into account. In this review, we have provided a detailed overview of the importance of association mapping, population design, high-throughput genotyping and phenotyping platforms, advancements in statistical models and multiple threshold comparisons, and recent GWA studies conducted in wheat. The information about MTAs utilized for gene characterization and adopted in breeding programs is also provided. In the literature that we surveyed, as many as 86,122 wheat lines have been studied under various GWA studies reporting 46,940 loci. However, further utilization of these is largely limited. The future breakthroughs in area of genomic selection, multi-omics-based approaches, machine, and deep learning models in wheat breeding after exploring the complex genetic structure with the GWAS are also discussed. This is a most comprehensive study of a large number of reports on wheat GWAS and gives a comparison and timeline of technological developments in this area. This will be useful to new researchers or groups who wish to invest in GWAS.

Indexed as

Genome-wide association studiesGenomic selectionHigh-throughput phenotypingMachine and deep learningWheat

Identifiers

PMID37309486
PMCPMC10248672

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.