Organic Fungicides with Adjuvants in the Prevention of Diseases at Wheat
Bibliographic record
Abstract
The efficiency of fungal solutions, without wheat in organic systems, can be improved with the use of adjuvants. The objective of this study was to evaluate the dispersion of fungal droplets of organic fungicides with adjuvants in wheat leaves and disease control efficiency. The experimental design used was the completely randomized design in factorial scheme 2 × 3, with 6 repetitions. The first factor corresponded to fungal solutions bordeaux syrup (200 g L-1) and lime sulfur syrup (200 g L-1) and second factor to the adjuvants: mineral oil and vegetable oil (0.5% v v-1) and one Witness without application.. On the adaxial side, the use of the mineral oil provided scatter of drop 111.8 and 25.7% higher, to the grouts without adjuvants and vegetable oil, respectively. The greater spreading of the droplets on the two foliar faces and a lower incidence of the diseases with the product of the lime sulfur syrup + mineral oil. The use of the adjuvants in the syrups evaluated with positive results in the production components, standing out the mineral oil.
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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".