Physiological Resistance of Dry Bean (Phaseolus vulgaris L.) to Sclerotinia sclerotiorum (Lib.) de Bary and Botrytis cinerea Pers.: Fr.
Bibliographic record
Abstract
"Using a detached-leaf bioassay technique, 505 dry bean (Phaseolus vulgaris) cultivars and lines representing seven market classes including navy, small red, pink, pinto, black, great northern, and dark red kidney bean, were screened for physiological resistance to white mold caused by Sclerotinia sclerotiorum, and gray mold caused by Botrytis cinerea. Significant differences in level of physiological resistance were detected among the materials for both pathogens. For white mold, the diameter of leaf lesion varied from small (27.1 mm) in the dark red kidney bean cultivar Redkloud to large (60.8 mm) in the great northern line L94E031. For gray mold, the diameter of leaf lesion varied from small (34.2 mm) in the navy bean line L94A010 to large (57.5 mm) in the small red line L94D196. The study showed that there is a wide range of variability in physiological resistance to both pathogens in germplasm within each market class. The study also demonstrated a significant positive correlation between lesion diameters for S. sclerotiorum and B. cinerea. The promising lines identified from this study are being used in the dry bean breeding program at the Agriculture and Agri-Food Canada Research Centre, Lethbridge, Alberta, Canada. "
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 | 0.000 |
| 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".