Hermetic Bags Effectively Preserve Dried Ziziphus mauritiana Lam. Fruits in Niger
Bibliographic record
Abstract
Ziziphus mauritiana Lam. (jujube) is a valuable commercial fruit crop that is delicious and an effective herbal remedy. In the Sahel region of Africa, the jujube fruits are harvested from the wild and eaten dry. Postharvest management poses challenges due to insects, which leads to the degradation of the quality of the fruits. We assessed the performance of the Purdue Improved Crop Storage (PICS) bags for preserving dried jujube fruits from three regions of Niger. After four months of storage, we measured infestation levels, sugar content, and organoleptic parameters. Insect (Aubeus himalayanus Voss) population (though low at the beginning) and the number of fruits with holes increased in polypropylene (PP, control) bags by 100 to 212.50% and 7.58 to 12.96%, respectively. The fruit weight loss in PP treatments ranged from 4.64 to 9.94%. In PICS bags, however, pest infestations and damages were comparable to those observed at the initial stage. No significant differences were observed in sugar content of dried jujube fruits kept in PICS and PP bags after four months of storage. No changes were seen in the quality and organoleptic properties of jujube fruits stored in PICS bags; however, they appeared to decrease in PP bags. PICS bags can be effectively used to preserve the quality of dried jujube fruits in the Sahel.
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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".