Influence of seeding date and harvest stage on yields and essential oil composition of three cultivars of dill (<i>Anethum graveolens</i> L.) grown in Nova Scotia
Bibliographic record
Abstract
Experiments were conducted in two locations in Nova Scotia, Canning and Truro, during 2001 and 2002 to determine the effect of seeding date and harvest stage on productivity and composition of essential oil from Anethum graveolens L. ‘Mesten, Dukat’ and ‘Hercules’. Delayed seeding generally reduced yields and altered the concentration of some essential oil components. Both dill seed and dill weed oil from this study had compositions similar to commercially available oil and reported dill oil compositions. The seed oil had moderate to high carvone content (17.9–64.0%) as is desired for the international market. Carvone content in oil increased as the plants matured. Lower yields and essential oil yields were obtained from cv. Hercules compared with the other two cultivars. Herbage yields and essential oil content were typical for the plant species; seed yields were below average, but there is potential to increase these yields through different seeding dates, harvest dates and investigation into optimum nutrient requirements. Key words: Dill, Anethum graveolens, Apiaceae, essential oil, hydrodistillation, steam distillation
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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".