Storability and Chips Quality of Chemical Treated Potatoes under Ordinary Condition
Bibliographic record
Abstract
Storage experiments were conducted under ordinary room conditions in the mid hill, Khumaltar (1350 masl ; meter above sea level) and high hills, Daman (2200 masl) of Nepal during the summer season of 2011 to find out the effect of chemical treatments and their time of applications on storability and chips qualities of potato cv. Kufri Jyoti. Chemicals treatments were; CIPC (Isopropyl N (3 chlorophenyl) carbamate), hydrogen peroxide and calcium chloride, which were applied as a single dose (before storage) and double dose (before and at 45 days in storage). Ordinary water treated potatoes served as control. The treatments were replicated thrice. Apparently healthy tubers > 60 gram weight after different chemical treatments were stored in bamboo racks and wooden tray, respectively at Kumaltar and Daman for 120 days. Observations were recorded on weight loss percentage (WLP), sprouting percentage, numbers and weight of sprouts and quality parameters for chips. Double fumigation with CIPC was effective for inhibition of sprouting and reduction of postharvest loss up to 120 days in both the locations. On the other hand the better colour of the chips was produced by two times hydrogen peroxide treated potatoes.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 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".