Effect of integrated nutrient management on productivity, nutrient uptake and economics of greengram (Vigna radiata L.) in custard apple-based agri-horti system under rainfed condition
Bibliographic record
Abstract
A field experiment was carried out during kharif season of 2010 at Mirzapur (Uttar Pradesh) to determine the effect of inorganic fertilizers and organic manure on growth, yield and nutrient uptake by green gram (Vigna radiata L. cv. HUM-12). Integrated application of 50% RDF + 100% poultry manure (T6) recorded significantly higher dry matter (39.11 g plant-1), seed yield(1002 kg ha-1), straw yield(3102 kg ha-1) and nutrient uptake in grain (28.13, 3.72 and 10.06 NPK kg ha-1, respectively) of greengram, consequently resulted maximum gross return (75110 ha-1), net return (59263 ha-1) and benefit: cost ratio (4.56). Thus, combined application of inorganic fertilizer and organic manure was found to be the best for higher productivity and profitability of greengram cultivation in custard apple-based agri-horti system under rainfed condition.
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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 | 0.001 | 0.000 |
| Open science | 0.001 | 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".