Ecophysiology of seed dormancy and germination in the mesic woodland herbaceous perennial <i>Corydalis ambigua</i> (Fumariaceae) in Japan
Bibliographic record
Abstract
In Japan, the herbaceous perennial Corydalis ambigua Cham. et Schlecht. occurs in Tohoku and Hokkaido, where it grows in deciduous woodlands. Seeds have an underdeveloped embryo that is physiologically dormant at the time of dispersal in late May. In laboratory experiments, embryos did not grow when kept continuously at 5 °C or at alternating diurnal temperatures of 25/15 °C. However, following warm stratification at 25/15 °C, they grew at 15/5 °C and continued to do so at 0 °C. Radicles emerged after a relatively long period at 0 or 5 °C, following warm stratification at 25/15 °C and then incubation at 15/5 °C. Embryos began to develop in autumn in seeds under near-natural conditions in a metal frame-house, and they had grown to an average of about 90% of their full length by December. Beginning in December, the seed coat split, exposing the endosperm, and in March both the radicle and the cotyledon emerged under the snow or immediately after snow melt. Dormancy in seeds of C. ambigua is the same as that in seeds of Hydrastis canadensis L., which has been described as a special type of deep simple epicotyl morphophysiological dormancy.Key words: Corydalis ambigua, embryo growth, morphophysiological dormancy, seed germination phenology, underdeveloped embryo.
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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 | 0.000 | 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 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".