Evidence map›Paper›PMID 37730954›Full record

ArticleScientific reports2023

Exploring GWAS and genomic prediction to improve Septoria tritici blotch resistance in wheat.

Mustafa Zakieh, Admas Alemu, Tina Henriksson, Nidhi Pareek, Pawan K Singh, Aakash Chawade

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.2field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Genome-Wide Association Mapping of Resistance toPlants (Basel, Switzerland) · 2026
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  8. Harnessing big data for enhanced genome-wide prediction in winter wheat breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
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  11. Review
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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

6 authors at 4 institutions in 3 countries.

Mustafa Zakieh *Department of Plant Breeding, Swedish University of Agricultural Sciences, 23422, Lomma, Sweden.
Admas Alemu *Department of Plant Breeding, Swedish University of Agricultural Sciences, 23422, Lomma, Sweden.
Tina HenrikssonLantmännen Lantbruk, Svalöv, Sweden.
Nidhi PareekDepartment of Microbiology, School of Life Sciences, Central University of Rajasthan, Bandarsindri, Kishangarh, Ajmer, Rajasthan, 305801, India.
Pawan K SinghInternational Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico.
Aakash ChawadeDepartment of Plant Breeding, Swedish University of Agricultural Sciences, 23422, Lomma, Sweden. Aakash.chawade@slu.se.
Swedish University of Agricultural Sciences · SECentral University of Rajasthan · INCentro Internacional de Mejoramiento de Maíz Y Trigo · MXLantmännen · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Septoria tritici blotch (STB) is a destructive foliar diseases threatening wheat grain yield. Wheat breeding for STB disease resistance has been identified as the most sustainable and environment-friendly approach. In this work, a panel of 316 winter wheat breeding lines from a commercial breeding program were evaluated for STB resistance at the seedling stage under controlled conditions followed by genome-wide association study (GWAS) and genomic prediction (GP). The study revealed a significant genotypic variation for STB seedling resistance, while disease severity scores exhibited a normal frequency distribution. Moreover, we calculated a broad-sense heritability of 0.62 for the trait. Nine single- and multi-locus GWAS models identified 24 marker-trait associations grouped into 20 quantitative trait loci (QTLs) for STB seedling-stage resistance. The seven QTLs located on chromosomes 1B, 2A, 2B, 5B (two), 7A, and 7D are reported for the first time and could potentially be novel. The GP cross-validation analysis in the RR-BLUP model estimated the genomic-estimated breeding values (GEBVs) of STB resistance with a prediction accuracy of 0.49. Meanwhile, the GWAS assisted wRR-BLUP model improved the accuracy to 0.58. The identified QTLs can be used for marker-assisted backcrossing against STB in winter wheat. Moreover, the higher prediction accuracy recorded from the GWAS-assisted GP analysis implies its power to successfully select superior candidate lines based on their GEBVs for STB resistance.

Indexed as

Genome-Wide Association StudyTriticumAscomycotaGenomicsPlant BreedingSeedlings

Identifiers

PMID37730954
PMCPMC10511425
OpenAlexW4386885758

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.