Evidence map›Paper›PMID 40385230›Full record

ArticleFrontiers in plant science2025

Genome-wide association study of seedling-plant resistance to stripe rust in bread wheat (

Genet Atsbeha, Tilahun Mekonnen, Haftom Brhane, Mulugeta Kebede, Teklehaimanot Haileselassie, Kassahun Tesfaye

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Harnessing artificial intelligence in plant breeding: innovations in digital phenotyping and breeding methodologies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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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.

Genet AtsbehaDepartment of Applied Biology, Collage of Applied Natural Science, Adama Science and Technology University, Adama, Ethiopia.
Tilahun MekonnenInstitute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia.
Haftom BrhanePlant Breeding Department, Swedish University of Agricultural Sciences, Lomma, Sweden.
Mulugeta KebedeDepartment of Plant Biology and Biodiversity Management, Addis Ababa University, Addis Ababa, Ethiopia.
Teklehaimanot HaileselassieInstitute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia.
Kassahun TesfayeInstitute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungal diseases, such as stripe rust, are major bottlenecks in Ethiopian wheat production. They can significantly reduce yields and impact regional food security. To enhance Ethiopian wheat production, incorporating genetically resistant cultivars into breeding programs is essential. Accordingly, this study aimed at exploring the genome-wide association of seedling resistance in 178 wheat genotypes to identify genetic markers linked to yellow rust resistance. The panel was phenotyped for yellow rust seedling resistance at Kulumsa Agricultural Research Centre Pathology Laboratory. Additionally, the association panel was genotyped using the genotyping-by-sequencing (GBS) platform and a total of 6,788 polymorphic SNPs were used in genome-wide association analysis to identify effective yellow rust resistance genes. The Genome Association and Prediction Integrated Tool (GAPIT) was used to analyze marker-trait associations. The overall linkage disequilibrium (LD) decreased within an average physical distance of 31.44 Mbp at r

Indexed as

genetic architecturelinkage disequilibriummarker trait associationnovel lociPuccinia striiformisSNP markers

Identifiers

PMID40385230
PMCPMC12081426

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Registered trials

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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.