Assessing post-harvest interim seed storage conditions: a case study of four boreal plant species
Bibliographic record
Abstract
The longevity of seeds in storage is modulated by the initial quality as well as the storage conditions. Seeds of four boreal species were stored for a varying amount of time (0, 1, 2, 3 and 4 weeks) at 4°C to determine the appropriate interim storage conditions after harvest and before processing. The highest germination of Solidago canadensis (75%), Shepherdia canadensis (79%) and Populus balsamifera (100%) seeds was observed for the four weeks at 4°C treatment. However, P. tremuloides germination was reduced by 22.5% when seeds were kept at 4°C for 3 or 4 weeks relative to the control; the reduction was less (1.5%) when seeds were kept at 4°C for 1 or 2 weeks. No significant difference in mean germination time (MGT) or germination synchrony (SYN) was recorded following the different storage treatments and the control for Populus tremuloides or P. balsamifera. However, in Shepherdia canadensis, the MGT of the seeds in the 3-week treatment was longer, while in Solidago canadensis, the 3 or 4 weeks at 4°C treatment improved the SYN relative to the control. The result suggests opportunities exist to store certain boreal seeds after harvest and before processing without reducing their germination characteristics.
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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 | 0.001 | 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) | 0.000 | 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 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".