Genome-Wide Association Study of Fusarium Head Blight Resistance in Wheat Accessions from Plant Gene Resources of Canada Using 90K and 40K SNP Arrays
Bibliographic record
Abstract
Fusarium head blight (FHB), caused by Fusarium species, is a major threat to global wheat production, reducing yield and quality and contaminating grain with harmful mycotoxins. This study utilized a genome-wide association study to investigate FHB resistance in a diverse collection of 300 hexaploid wheat (T. aestivum L.) pure lines selected for their FHB resistance from 4,000 Triticum accessions obtained from Plant Gene Resources of Canada (PGRC). Phenotypic data were collected across multiple site-years (2019 to 2024) and the accessions were genotyped by high-density single-nucleotide polymorphism arrays (40 and 90K). One hundred eighty-two quantitative trait nucleotides (QTN) associated with FHB resistance traits were identified across all chromosomes except 6D. Among these, 30 QTN consistently detected across multiple site-years were clustered into 13 quantitative trait loci (QTL), with 6 prioritized for breeding applications because of their significant contributions to resistance. Novel loci such as QFhb.usask-3B.1 were identified, harboring potential candidate genes encoding transcription factors and resistance proteins involved in biotic stress responses. The eight most resistant PGRC lines were identified based on best linear unbiased predictors analysis, representing diverse regions and carrying these identified QTL. This study advances the understanding of FHB resistance mechanisms and provides genomic resources for breeding programs aimed at developing improved wheat cultivars with enhanced resistance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".