Impact of organic manures on soil health, yield and quality of pit planted sugarcane
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
An experiment was conducted at Organic Farm, Navsari Agricultural University, Navsari to study the effect of different proportion of organics on productivity of pit planted sugarcane during three consecutive years of 2013, 2014 and 2015. The experiment was conducted at fixed plot site with 8 set of organics treatments and 1 inorganic treatment as control (250:125:125 kg NPK/ha) arranged outside the experimental plot, laid down in randomized block design replicated thrice. Significantly higher millable cane height, number of internodes/ millable cane and single millable cane weight were recorded when crop nourished with 50% RDN each of vermi compost and castor cake. Further, application of vermi compost (50% RDN) along with neem cake or castor cake (50% RDN) were found equally effective and recorded significantly higher millable cane and trash yields. In organics vs inorganic analysis, application of 100 per cent RDF through inorganic fertilizers recorded significantly higher values of growth and yield parameters and yields of sugarcane crop. For producing higher and profitable cane yield of sugarcane, the crop should be fertilized with 100% RDF (250:125:125 NPK kg/ha) under south Gujarat condition. Further, it is also inferred that for organic production of sugarcane crop, application of 50% RDN through vermi compost and remaining 50% RDN either through castor cake or neem cake was found remunerative.
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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 | 0.001 |
| 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