Insects and Diseases PS&C Prairie Soils & Crops Journal Managing the ascochyta blight complex on field pea in western Canada
Bibliographic record
Abstract
Ascochyta blight, caused primarily by Ascochyta pinodes (sexual form Mycosphaerella pinodes) is an important disease of field pea in western Canada. It occurs in almost every field each year, and is capable of causing substantial loss in seed yield when epidemics develop early. There are differences in susceptibility among field pea lines, but lines also respond differently to the amount of disease that they can tolerate before substantial yield loss occurs. Studies to develop cultivars with improved resistance are on-going, and several new approaches to breeding for resistance are discussed. Foliar-applied fungicides reduce blight severity, but do not consistently increase seed yield. Cultivars with stronger stems are less susceptible to lodging, and may be more tolerant to ascochyta blight than lines with weaker stems. A low-cost option for blight management in western Canada is selection of high-yielding cultivars with strong stems and an upright growth habit for use in a diverse (e.g., four-year) cropping rotation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".