Foliar applications of fertilizer salts inhibit powdery mildew on tomato
Bibliographic record
Abstract
Foliar applications of a number of inorganic fertilizer salts were found to significantly reduce powdery mildew [Erysiphe orontii] on greenhouse tomato (Lycopersicon esculentum, cv. Trust) leaves. In a series of single-application experiments, the foliar applications, each with 0.1% surfactant, were applied to the third and fourth leaves of young tomato plants 24 h before inoculation with an atomized application of mildew conidia. Control treatments consisted of a water application and a water plus surfactant application. Powdery mildew colonies were counted 710 days later. Surfactant alone significantly reduced mildew colony numbers. CaCl2, Ca(NO3)2, and K2HPO4 reduced colony counts compared with the surfactant alone. All combinations of Ca salts, or Ca salts plus elemental S, significantly reduced mildew colony counts compared with surfactant alone. In a second set of experiments, the effects of repeated applications on already naturally infected tomato plants were evaluated. Young tomato plants were moved to a greenhouse containing several heavily mildew-infected tomato plants, allowing natural infection. The following day and every 710 days thereafter, treatments were applied to all leaves. Colony counts on selected leaves were made weekly or just before spraying. Surfactant alone was not as effective as in the single-application treatments, often having no effect. All the Ca-salt treatments that were effective in the single-application series were effective as multiple applications. Repeated applications of combinations of Ca salts were often just as effective as applications of elemental S. KCl, MgSO4, and K2HPO4 also significantly reduced mildew counts with multiple applications. This study did not attempt to explain the differences or similarities in efficacy of the salts tested; both osmotic (concentration) and specific-ion effects could play a role.Key words: surfactant, Erysiphe orontii, Lycopersicon esculentum, greenhouse, calcium, potassium, sulphur, magnesium, powdery mildew.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".