Improving blackleg disease management of<i>Brassica napus</i>from knowledge of genetic interactions with<i>Leptosphaeria maculans</i><sup>†</sup>
Bibliographic record
Abstract
Leptosphaeria maculans , the cause of blackleg or phoma stem canker of oilseed rape and canola ( Brassica napus ) is becoming a model system for the study of genetic relationships between host and pathogen. Knowledge of this relationship has progressed from the discovery of differential reactions among canola varieties and pathogen isolates to the elucidation of specific resistance genes in the host and the corresponding avirulence genes in the pathogen. The use of a race-specific resistance strategy to manage this disease has been of great value in Canada, Australia and Europe; however, due to the pathogen's propensity to change, new pathotypes or races have been observed to arise rapidly. This paper reviews these developments and discusses applications of this knowledge to applied management of this disease in B. napus .
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".