Effects of cold stratification on the germination of<i>Vaccinium myrtilloides</i>(common blueberry) and<i>Vaccinium vitis-idaea</i>(bog cranberry) seeds from Alberta, Canada
Why this work is in the frame
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Bibliographic record
Abstract
<i>Vaccinium vitis-idaea</i> L. (Ericaceae) and <i>Vaccinium myrtilloides</i> Michx. are important agronomic and ecological species. Several food products are derived from these species throughout Europe and North America, and they are becoming important plants for land reclamation. Several studies have indicated that stratification can be beneficial for the germination of <i>Vaccinium</i> seed species including <i>V. vitis-idaea</i> and <i>V. myrtilloides</i>; however, the recommended stratification lengths vary from 12 wk to 10 mo. This study investigated the optimal time for cold stratification of <i>V. vitis-idaea</i> and <i>V. myrtilloides</i> seeds collected in Alberta, Canada. Seed treatments consisted of unstratified as well as 2, 4, and 8-wk stratification periods. Our results indicate that the 8-wk cold stratification period provided the highest mean germination and uniformity for <i>V. vitis-idaea</i>, but mean germination time was longer compared to the other stratification treatments. Moreover, 8-wk stratified <i>V. myrtilloides</i> seeds showed the lowest average germination percentage and the least amount of synchronization. Similar studies involving <i>V. vitis-idaea</i> presented comparable findings to this study but further studies are required to determine stratification strategies for <i>V. myrtilloides</i>. Further research of <i>V. myrtilloides</i> seed characteristics, such as dormancy, may be beneficial for gaining a better understanding of the effects of stratification on germination.
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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 | 0.000 | 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 it