Evidence map›Paper›PMID 40772045›Full record

ArticleFrontiers in plant science2025

GWAS analysis of Fusarium head blight resistance in a Nordic-Baltic spring wheat panel.

Shayan Syed, Andrius Aleliūnas, Rita Armonienė, Gintaras Brazauskas, Andrii Gorash

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

5 authors.

Shayan SyedDepartment of Cereal Breeding, Institute of Agriculture, Lithuanian Research Centre for Agriculture and Forestry, Akademija, Lithuania.
Andrius AleliūnasLaboratory of Genetics and Physiology, Institute of Agriculture, Lithuanian Research Centre for Agriculture and Forestry, Akademija, Lithuania.
Rita ArmonienėLaboratory of Genetics and Physiology, Institute of Agriculture, Lithuanian Research Centre for Agriculture and Forestry, Akademija, Lithuania.
Gintaras BrazauskasLaboratory of Genetics and Physiology, Institute of Agriculture, Lithuanian Research Centre for Agriculture and Forestry, Akademija, Lithuania.
Andrii GorashDepartment of Cereal Breeding, Institute of Agriculture, Lithuanian Research Centre for Agriculture and Forestry, Akademija, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic improvement of wheat resistance to the devastating disease Fusarium head blight (FHB) is the most effective strategy to prevent economic, health, and food safety issues, and is also an environmentally friendly approach for disease control. However, wheat breeding for FHB resistance is hampered by complex resistance, which is controlled by multiple loci with minor effects and limited availability of resistance sources. Globally, sources of FHB resistance primarily stem from Asian wheat; however, excellent resistance has also been noted in European spring wheat cultivars and breeding lines. The success of breeding for the improvement of wheat resistance to FHB relies on the availability of a genetic pool that is adapted to local environments, possesses desirable agronomic traits, and includes a sufficient number of effective QTL for wheat resistance to FHB. A genome-wide association study (GWAS) was performed using a panel of 332 spring wheat genotypes including 181 from Baltic, Nordic countries (65), Central and Western Europe (76) and exotic genotypes (10), employing a 25 K single nucleotide polymorphism (SNP) array. The objectives of this study were to identify SNPs significantly associated with wheat resistance, determine QTL with approximate regions, and identify candidate genes within these QTL by exploring a panel of wheat genotypes adapted to the Baltic and Nordic countries. A total of 65 significant marker-trait associations (MTAs) with FHB resistance were identified using GWAS. Resistance loci were distributed across 15 wheat chromosomes and three genomes. Furthermore, 55 QTL were identified, 10 of which had phenotypic variation explained (

Indexed as

candidate genesFHBgene pyramidinggenome wide association analysisQTLwheat resistance

Identifiers

PMID40772045
PMCPMC12325435

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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.