Bibliographic record
Abstract
Bueckert, R. A. 2011. Simulated hail damage and yield reduction in lentil. Can. J. Plant Sci. 91: 117–124. The severity of crop damage by hail is frequently estimated using equations derived from controlled experiments, but this approach has not been extended to the indeterminate pulse crop lentil (Lens culinaris L.). The objective was to simulate hail damage on two lentil cultivars, and estimate yield reduction for use in the Crop Insurance Industry. Hail damage was simulated by controlled canopy crushing on two cultivars, CDC Blaze and CDC Sedley at 4 location-years in Saskatchewan in 2006 and 2007. Plots received simulated damage as the untreated control (0%), 30, 60 or 90% canopy height reduction by crushing at each of four growth stages: vegetative, early flowering, pod-filling, and physiological maturity. As damage intensity increased from 0 to 90%, yield decreased in both cultivars. Most yield reduction (>65%) was seen when damage occurred in reproductive growth. Yield reduction for lentil damaged in vegetative growth was described by linear models, and the reproductive stages by quadratic models. The equations will help improve hail damage assessment in lentil on the Northern Great Plains.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".