Potato post‐dormancy sprouting: a problem during storage and its control by essential oils as alternatives to artifact chemicals – a review
Bibliographic record
Abstract
Potato (Solanum tuberosum L.) is one of the staple food crops grown in most of the world. Potato being one of the major crops in Canada, potato processing is of utmost interest to the food industry. Prior to processing, storage of tubers is an essential step for the potato processing industries. However, the sprouting of potatoes during storage is a crucial problem that results in increased weight loss, respiration, decreased nutritional quality and eventually food waste and economic loss. Tuber dormancy and sprouting are significantly affected by potato cultivar, light, storage temperature, humidity, storage ambience and so forth. Conventional and novel techniques to suppress sprouting have been evolved based on artificial chemical, synthetic, physical and natural chemical suppressants. This review describes the effect of various storage parameters on potato sprouting and the role of suppressants along with basic storage parameters to augment their effect on potato sprouting. Further, this review describes the drawbacks of artificial chemical and synthetic sprouting suppressants, and the role of natural chemical suppressants in overcoming the said drawbacks. Moreover, limitations and research gaps of natural chemical suppressants are discussed highlighting efforts to develop novel approaches followed by the restrictions and problems of natural chemical suppressants for their greater efficacy. © 2025 Society of Chemical Industry.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".