Potential of Integrated Nutrient Management to Rehabilitate the Dieback-Affected Mango Cultivar Sammer Bahisht Chaunsa
Bibliographic record
Abstract
The mango cultivar Summer Bahisht (SB) Chaunsa is the most sensitive and susceptible to dieback disease among other cultivars. Despite the environmental variables, low nutritional value contributes to the drastic prevalence of the disease. Therefore, it was hypothesized that providing balanced nutrition through an integrated nutrient approach could rehabilitate plants affected by dieback disease. Treatments were NPK at the recommended dose (control), NPK + farmyard manure, NPK + press mud, NPK + poultry litter, and NPK + city effluent, and NPK + sulfur. Sulfur was applied at 3 kg per plant, while the organic amendments were applied at 100 kg per plant NPK was applied at the recommended dose per square feet of tree canopy. Leaf samples were taken 5 months after treatment application. Results were analyzed through two-way ANOVA analysis using R statistical language software. Although the disease recovery rate was slow and we did not find any plant that recovered one year after treatment application, the reduction in disease was prominent in the treatment where poultry litter + NPK was applied. The poultry litter with the recommended NPK treatment showed 20% and 50% reductions in disease intensity in the 2nd and 3rd years of the experiment, respectively, as compared to NPK alone.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".