Metabolic and hormonal processes associated with the induction of secondary dormancy in<i>Brassica napus</i>seedsThis paper is one of a selection of papers published in a Special Issue from the National Research Council of Canada – Plant Biotechnology Institute.
Bibliographic record
Abstract
Polyethylene glycol treatment induces secondary seed dormancy in Brassica napus L. cultivar ‘AC Excel’ (ACE), but not in ‘DH12075’ (DH). Gene expression, metabolite profiles, and hormone profiles were obtained from seeds of both cultivars following polyethylene glycol 8000 treatment. ACE seeds were more transcriptionally active: 28 genes were up-regulated in both cultivars and 10 and 158 genes were specifically up-regulated in DH and ACE, respectively. Nontargeted metabolite analyses combined with gene expression analyses showed significant differences in lipid, sugar, and phenylpropanoid metabolism between the cultivars. Abscisic acid (ABA) levels were higher and many ABA-inducible genes were expressed more in ACE. An association of ABA with secondary dormancy was supported by the observation that secondary dormancy was induced by polyethylene glycol 8000 in Arabidopsis wild-type seeds, but was reduced in ABA-deficient and ABA-insensitive mutants. Therefore, secondary dormancy appears to be realized through an active ABA-related mechanism that may involve changes in primary and secondary metabolism.
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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) | 0.001 | 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".