Yield Response to Early Defoliation in Spring‐Planted Canola
Bibliographic record
Abstract
Canola ( Brassica napus L.) is a high‐value summer annual crop grown in the northern Great Plains of Canada and the United States. During the early stages of its life, the crop may lose leaf area as a result of spring hail storms, frost, herbicides, animal grazing, and insects. However, little information is available on the effect of defoliation during vegetative growth on yield for spring‐planted canola. To address this gap, a five site‐year study was conducted in central Saskatchewan, Canada, to test canola recovery from partial (50%) or full (100%) defoliation at five stages before flowering (2‐, 4‐, 6‐, 8‐, and 10‐leaf stages). Partially defoliated canola plots yielded, on average, 92% of untreated control plots, while fully defoliated canola yielded 75% of controls. The yield response to defoliation timings varied; in one site‐year yield loss was minimized with earlier timings, while in the remaining site‐years, seed yield response was inconsistent or unrelated to timing. Our study shows that partial or full defoliation of summer‐cropped canola at any point during vegetative growth is likely to cause a yield loss. However the crop's substantial compensation for loss of foliage means that reseeding is rarely profitable.
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 | 0.001 | 0.001 |
| 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".