The trade-off between breaking of dormancy of caryopses and revival ability of young seedlings of wild barley (<i>Hordeum spontaneum</i>)
Bibliographic record
Abstract
The relationship between breaking of dormancy of wild barley (Hordeum spontaneum C. Koch) caryopses and revival ability of young seedlings from a long period of desiccation was studied using barley caryopses stored for 2 years at 5°C and freshly harvested caryopses from a semiarid population in Israel. The 2 years of storage at 5°C significantly enhanced the germination percentages, but dramatically decreased the revival ability of the young seedlings from drought stress. There was a negative correlation between the breaking of dormancy of caryopses and revival ability. There were no significant changes in the effects of storage at a high temperature for periods longer than 5 days. The earlier germination occurred, the higher the revival ability of young seedlings from drought. The results suggest that breaking of dormancy might be at the expense of lowering the subsequent revival ability of young seedlings. The general premise is that a trade-off is expected between dormancy release of caryopses and revival ability of seedlings from drought stress, and that a treatment that aims at breaking dormancy must reach some compromise that optimizes the balance between the two traits based on the specific circumstances.Key words: dormancy breaking, caryopses, revival ability, seedlings, Hordeum spontaneum, wild barley.
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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".