Pathogen growth inhibition and disease suppression on cucumber and canola plants with ActiveFlower™ (AF), a foliar nutrient spray containing boron
Bibliographic record
Abstract
The effectiveness of ActiveFlower (AF), a fertilizer containing 3% boron in reducing pathogen growth and diseases on cucumber and canola plants was evaluated. In vitro, growth of S. sclerotiorum with AF at 0.1, 0.3 and 0.5 mL/100 mL showed pronounced inhibition at 0.5 mL/100 mL. In greenhouse experiments, the number of powdery mildew colonies on cucumber was significantly reduced by AF at the higher concentrations applied as weekly foliar sprays. On detached canola leaves, AF at 0.5 mL/100 mL and boric acid (BA) at 10 mL/L significantly reduced lesion size of S. sclerotiorum. Phenolic content and boron levels in foliage receiving AF applications were significantly increased. There were no significant differences in lignin. These results indicate that boron present in AF contributed to the disease suppressive effect.
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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 | 0.000 | 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) | 0.001 | 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".