Effect Of Nitrogen And Potassium On Pomegranate Cv. Bhagwa Under Red And Lateritic Zone Of West Bengal
Bibliographic record
Abstract
The experiment was conducted with five levels of nitrogen and four levels of potassium per plant with twenty treatment combinations were applied to three years old pomegranate cv. Bhagwa trees at the Regional Research Sub-Station, Sekampur, Birbhum of Bidhan Chandra Krishi Viswavidyalaya, West Bengal. The highest yield was observed with N60 (4.103 kg/plant). In potassium application the yield /plant varied between 2.96 kg/plant (K0) to 3.664 kg/plant (K40). The combined application of N80K40 resulted in a 28.07 % (212.60g) increase in fruit weight compared to the control treatment (166.00g). The highest number of fruits/plants was recorded in treatment N60 (20.438) and lowest in control (13.688). Significantly maximum number of fruits /plants was noted in K40 (18.550). The highest increase in aril weight and juice weight could be observed with the application of N60K60 treatment. Quality analysis of the fruits showed maximum TSS with the 60 g/plant k. It is concluded that the combined application of N@60g and K@40 g per plant is beneficial in improving the yield and quality of three years old pomegranate plants under the red lateritic zone of West Bengal.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".