Efficacy of Paper Mill Sludge Along with Organic and Inorganic Nutrients on Growth and Yield of Turmeric (Curcuma longa L.)
Bibliographic record
Abstract
Red soils are strongly to moderately acidic with low to medium organic matter and poor water retentive capacity. These soils are deficient in macro as well as micronutrients like boron and molybdenum. Being a commercially cultivated crop turmeric production was drastically affected in such type of soil. To defence against the above said crisis an experiment was conducted with seven treatments and replicated thrice, at Regional Research & Technology Transfer Station (OUAT), during kharif-2012, under Eastern Ghat High Land zone of Odisha, to assess the efficacy of paper mill sludge (PMS) with a mixture of organic and inorganic fertilizers on turmeric cv. Roma. Results revealed that application of 100% Recommended Dose of Fertilizer with PMS i.e. (T3) recorded highest fresh rhizome yield of 285.30 q per ha followed by 100% RDF i.e. T2 with 261.83 q per ha which is at par with T3. Maximum plant height of 136.97 cm along with highest weight of 73.25 g and 98.27 g of primary and secondary fingers per clump respectively were obtained from T3.
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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) | 0.000 | 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 | 0.001 |
| 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".