(150) Photo, Physical, and Mechanical Pretreatments Reduce Incidence of Blight Diseases in Carrots
Bibliographic record
Abstract
Consumer demand for chemically free produce has increased; however, producers have become increasingly dependent on unreliable chemical defenses for control of diseases and pests. These dilemmas, along with the desire to maintain healthy farmland, have led to the research and development of environmentally sound practices. It is hypothesized that predisposing plants to photo, physical, and mechanical (PPM) mechanisms can allow plants to better withstand stress. Plants exposed to one form of PPM mechanism could confer resistance to a range of biotic and abiotic stresses. Such cross-resistance is commonly seen, but not well-understood. In this study, various PPM factors, including UV-C radiation, leaf brushing, and canopy trimming, were applied to field-grown carrots ( Daucus carotae L.). The degree of blight and white mold infection was measured. Preliminary analyses showed that UV-C radiation at 4 weeks post-emergence or brushing at 4 or 8 weeks significantly reduced carrot blight and/or white mold. This implies that certain PPM mechanisms may induce plant defenses, allowing the crop to better defend itself against future biotic stress.
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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".