The effects of paclobutrazol, abscisic acid, and gibberellin on germination and early growth in silver, red, and hybrid maple
Bibliographic record
Abstract
Silver maple (Acer saccharinum L.) seeds were used to examine the mechanisms regulating recalcitrant seed germination aiming towards the development of a biochemical method to temporarily inhibit germination without refrigeration. Treatment of fresh silver maple seeds with the cytochrome P450inhibitor paclobutrazol delayed germination and reduced root and shoot extension. The inhibitory effect of paclobutrazol plus abscisic acid (ABA) on the shoots of silver maple could not be overcome by a brief treatment with gibberellic acid A3(GA3). Red maple seeds (Acer rubrum L.) were almost completely inhibited by the treatment with paclobutrazol alone, and this inhibition could not be overcome by a brief treatment with GA3. In the red × silver hybrid, root growth was little affected by paclobutrazol plus ABA; however, shoot growth was markedly inhibited by paclobutrazol, and this inhibition was sharply increased by the combination with ABA but partially alleviated by GA3. Treating fresh silver maple seeds with paclobutrazol for 12 h followed by storage under ideal germination conditions, in the presence of 1 mM ABA, completely prevented germination for 1 week. Root extension was completely restored by the continuous provision of GA3along with the ABA.
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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".