Effects of GA_3 and Chemistry Mutagens on Germination of Lavandula angustifoliaMill
Bibliographic record
Abstract
This paper studied the effects of different kinds of chemical mutagens and gibberellins(GA3) on seeds germination of Lavandula angustifolia Mill.The results showed that at a relatively low concentration(1.0%),EMS(with 8 h seed presoaking) significantly promoted both germination viability and germination percentage of Lavandula angustifolia seeds(p0.01 or p0.05),but at high concentration(2.0%,EMS),seeds germination was significantly inhibited(p0.05);After treated with a range of colchicine,the day on which seeds started to germinate delayed,but both germination viability and germination percentage were increased.Besides,constant 20 ℃ were optimum condition for socking seeds with colchicine,with the shorter germination time and higher germination rate than ambient temperature(mean 30.3 ℃);GA3 promoted the seeds germination of Lavandula angustifolia Mill,and the most appropriate concentration was 200 mol/L(with 8 h seed presoaking),the germination viability and germination percentage of the seeds were increased by 2.43 times and 4.86 times respectively,and itshowed a significantly difference(p0.01)with control group.
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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".