Effect of Organic Manure and Zinc on Growth, Yield Attributes and Economics of Maize
Why this work is in the frame
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Bibliographic record
Abstract
A field experiment was conducted during Rabi 2022 season at Crop Research Farm, Department of Agronomy, Naini Agriculture Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, Uttar Pradesh, to study the response of organic manure and soil application of zinc on the growth, yield attributes and economics of maize. The treatment consists of three level of zinc sulphate (2, 4 and 6 kg/ha) vermicompost (12 t/ha), poultry manure (4 t/ha) and control. The experiment was laid out in Randomized Block Design (RBD) with ten treatment and replicated thrice. The soil of the experimental field was sandy loam with pH (8.0), EC (0.56 ds/m), organic carbon (0.62%), available N (225 kg/ha), available P (38.2 kg/ha), and available K (240.7 kg/ha). The results showed that application of 50% poultry manure and 50% vermicompost along with zinc 6kg/ha recorded significantly higher plant height (208.33 cm), higher dry weight (89.90 g), number of cobs/plants (2.93), cob length (29.80 cm), number of seeds/cob (414.70). Maximum gross returns (254310.40 INR/ha), net returns (173950.40 INR/ha) and Benefit Cost (B.C) ratio (2.16).
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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 it