Post-Harvest Conservation of Baby Corn Under Controlled Atmosphere and Refrigeration
Bibliographic record
Abstract
The baby corn has been gaining ground in the market and arousing interest of producers. However, there is a barrier in its production chain due to the lack of scientific knowledge in the harvest and post-harvest strategies. Therefore, the objective of this study was to evaluate the changes in the physicochemical characteristics of the baby corn stored at different temperatures and under controlled atmosphere. The studies were performed at UNIMONTES with the ‘AG 1051’ baby corn spikletes. Two tests were performed, one considering the spikelets in the straw and the other with the husked spikelets. The tests were carried out under CRD, in a 2 × 2 × 6 factorial scheme, that is two storage temperatures (16 and 25 °C), two controlled atmosphere conditions (with and without PVC plastic wrap) and six evaluation periods (0, 3, 6, 9, 12 and 15 days after harvest) with four replications. The quality characteristics of the spikelets were analyzed in the post-harvest. the post-harvest quality preservation of baby corn in the straw and the husked ones was affected by temperature, controlled atmosphere and evaluation period. The best storage condition to maintain the main quality characteristics of the spikelets at post-harvest was observed at the temperature of 16 ºC with controlled atmosphere use. For the spikelets preserved with the presence of straw, the maximum storage time for maintenance of post-harvest characteristics was four days, and for spikelets stored without straw, the maximum storage time was two days and 12 hours, both at refrigerated temperature (16 °C) and under controlled atmosphere.
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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 | 0.001 | 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".