Impact of storage conditions and duration on seed viability and biochemical quality of pulses
Bibliographic record
Abstract
Seed stored poorly is seed wasted. Pulses represent one of the most protein-dense plant food groups, yet post-harvest losses from inadequate storage remain alarmingly high in many supply chains. This research examined the effects of three storage temperature regimes (4°C, 25°C, and 35°C) and storage duration (0-12 months) on germination percentage, seedling vigour, protein content, total phenolic compounds, and trypsin inhibitor activity in four pulse crops: chickpea, lentil, mung bean, and field pea. Seed lots were stored at the University of Guelph post-harvest research facility from September 2021 to September 2022. Cold storage at 4°C preserved germination above 89% for all species after 12 months. Ambient storage (25°C) reduced germination to 61.3% in the most sensitive species, while warm storage (35°C) caused declines below 40%. Protein content remained relatively stable across conditions, but phenolic compounds decreased by 18.4-27.6% under warm storage. These results confirm that temperature is the single most important controllable factor for maintaining both viability and biochemical quality of stored pulses.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".