Genetic mapping of Fusarium head blight resistance, rust resistance, and agronomic traits in winter wheat
Bibliographic record
Abstract
Fusarium head blight (FHB) of wheat, mainly caused by Fusarium graminearum, is a major wheat disease globally, causing significant yield and quality losses. Additionally, infection with leaf rust (LR), stem rust (SR) and stripe rust (YR) caused by Puccinia triticina, P. graminis f. sp. tritici, and P. striiformis f. sp. tritici, respectively, leads to significant yield losses under favourable conditions. The use of cultivars with increased resistance is considered an effective tool for FHB and rust disease management. The improvement of agronomic traits in winter wheat is also crucial to meet global food demand. The objectives of this study were to: i) identify QTL associated with FHB resistance in two doubled haploid (DH) winter wheat populations D8006W/Superior and Triumph/25R51, ii) identify QTL associated with LR, SR, and YR resistance in the Triumph/25R51 population, and iii) identify QTL associated with agronomic and quality traits in the Triumph/25R51 population. The evaluations of FHB, and agronomical traits were performed across multiple site years representing both Eastern and Western Canada. Three rust diseases were evaluated in respective trials across multiple site years. Genotyping of both DH populations was performed using the 90K Illumina Infinium iSelect single nucleotide polymorphism (SNP) array followed by linkage map construction using high quality SNP makers and QTL analysis. Major FHB resistance QTL were detected on chromosomes 1A, 1B, 2D, 4B, 5A and 7A for the D8006W/Superior population and on chromosomes 2A, 2D, 3B, and 7D for the Triumph/25R51 population. The FHB QTL on chromosome 2D in both populations was associated with plant height and days to anthesis QTL. The major FHB resistance gene, Fhb1, was associated with FHB resistance in the Triumph/25R51 population. Rust resistance QTL were detected on chromosomes 1B, 4A, 5B and 7B for LR, chromosomes 1B, 4B and 6A for SR and chromosomes 1A, 4B and 5B for YR. Agronomical traits QTL were detected across multiple chromosomes including yield QTL on chromosomes 2B, 3A, 3B, 4A, 4B and 5A. The QTL identified from this project may be used to facilitate marker-assisted selection for FHB and rust resistance, and agronomic traits improvement in winter wheat breeding programs.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".