Induction of resistance in onion against purple leaf blotch disease through chemicals
Bibliographic record
Abstract
Onion is one of the world's most important vegetable crop cultivated in Pakistan and plays a significant role in human diet. Numerous diseases attack on onion crop, but purple leaf blotch is the most important one, because it causes 80 to 90% of onion yield loss all over the world. In current experiment twenty-three fungicides at three concentrations (0.5, 1, and 1.5 g/L) were evaluated against Alternaria porri causing purple blotch under Randomized Complete Block Design (RCBD) on susceptible variety of onion (Pink Panther). Among all fungicides, chlorostrobin expressed prominent results causing 62.05% reduction in disease severity, followed by Nanok (61.55), Shincar (54.86), Cabrio Top (53.33), Thril (50.00), Jalwa (48.11), Success (45.00), Alliette (41.61), Rally (39.83), Copper oxychloride (36.66), Score (33.05), Topas (29.88), Melodydue (13.27), Dithane M (11.66), Sulphax (6.55), Ridomil Gold (3.38) % respectively as compared to control. Similar results were observed in case of interaction b/w treatments and their concentrations. Results of current study are helpful for farmers, scientist, and researchers for timely management of purple leaf blotch disease of onion.
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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".