Safe storage guidelines for industrial hemp (Cannabis sativa) seeds
Bibliographic record
Abstract
Canada produced 33,750 tonnes of hemp seed over 2013-2015 on approximately 36,500 hectares in the prairie provinces. The Canadian grain industry lacks a specific guideline for safe storage of hemp (Cannabis sativa) seeds used by farmers, industry people and throughout the world especially in Canada where it grows well. A popular variety of hemp seed known as FINOLA® - was obtained from a farm in Southern Manitoba for this study. Four independent factors were considered as follows: dockage percentages, relative humidities, temperatures, and storage periods. To develop a safe storage guideline, the hemp seed with different dockage percentages (0%, 5%, and 15%) in different relative humidities maintained by salt solutions (KNO3, NaCl, NaNO2, Mg(NO3)2) were stored at different temperatures (20, 25, 30, and 35℃) for 26 weeks. The indices of spoilage in hemp seed were seed germination, FAV (free fatty acid value), visible and invisible mold, seed plate (bacteria) count, and internal green and yellow seed count. Germination of the hemp seed was significantly different at different percentages of dockages (0, 5, and 15%) as dockage may have held some unbound water that degraded the seed quality. But dockage percentages did not significantly influence equilibrium moisture content, FAV, visible and invisible mold, seed plate (bacteria) count, and internal green and yellow seed count. Hemp seed with 15% dockage had faster germination loss. Hemp seed with lower RH and temperatures had the lowest FAV, mold, seed plate count, and internal green and yellow seed count. Based on the 20% initial germination loss, hemp seed could be safely stored at ≤25℃ and ≤70%RH, which would be at ≤10% equilibrium moisture content, for more than 26 wk.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".