Resistance to Tan Spot and Insensitivity to Ptr ToxA in Wheat
Bibliographic record
Abstract
ABSTRACT Tan spot, caused by the fungus Pyrenophora tritici‐repentis, is an important foliar disease of wheat (Triticum aestivum L.) worldwide. Growing resistant cultivars is an effective approach to reduce the losses caused by the disease. To identify resistance genes in common wheat, 380 wheat accessions from different geographical origins were evaluated for resistance to P. tritici‐repentis race 1, the predominant race in the Great Plains of the United States and western Canada, and insensitivity to Ptr ToxA, a host‐selective toxin produced by race 1. Most accessions tested (60%) were resistant and only 93 accessions (24%) were as susceptible as TAM 105, the susceptible control. Among 379 accessions, 230 were insensitive to Ptr ToxA, but only 158 of them showed resistance to race 1. A weak correlation between tan spot score and sensitivity to Ptr ToxA suggests that pathogenicity factors other than Ptr ToxA (like Ptr ToxC) also contributed to tan spot development in these accessions. The accessions with resistance to tan spot identified in this study should be useful sources for developing new tan spot resistant cultivars.
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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 | 0.000 |
| 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".