Beneficial Effects of Moist Chilling on the Seeds of Black Spruce (Picea mariana [Mill.] B.S.P.)
Bibliographic record
Abstract
Moist chilling (cold stratification) is well-known as a simple and effective means of overcoming physiological seed dormancy and enhancing germination of many temperate tree and shrub species. However, the apparent activation of intracellular repair mechanisms in non-dormant black spruce ( Picea mariana ) seeds following moist chilling, has not previously been reported. The present contribution records the beneficial effects of moist chilling after accelerated ageing (40°C/98% relative humidity) for 3–10 d of black spruce seeds. This treatment was maximally effective after 7 d of accelerated ageing, increasing germination from 43 to 61%. Ultrastructural examination of embryo cells indicated that intracellular activation occurred during moist chilling even when seeds had not been subjected to accelerated ageing, and that the increasing levels of damage accumulating over the 3–7 d period of ageing were substantially reversed during subsequent moist chilling. The results of cold stratification of non-dormant seeds are discussed in terms of the value of this practice in nursery seedling production from seeds that are of less than the highest quality. Copyright 2000 Annals of Botany Company
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 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".