Valorisation of Medicinal and Aromatic Plants by Creating of the Varieties with High Quality
Bibliographic record
Abstract
The aim of the research was to improve the quality of medicinal plants by developing new varieties of Salvia sclarea, Lavandula angustifolia and Origanum vulgare. Plant material included 50 heterotic hybrids, 62 inbred lines, 8 varieties derived from hybrids with constant heterosis of S. sclarea; 9 varieties, derived from F1 hybrids of L. angustifolia; 7 varieties of O. vulgare ssp. vulgare, 15 varieties of O. vulgare ssp. hirtum. Early, medium, late inbred lines of S. sclarea were developed; low (0.458-0.700%), medium (0.701-1.000%), high (0.101-1.350%), very high (0.351-1.958 %) essential oil content. S. sclarea hybrids are characterized by their high essential oil content. Resistant to biotic and abiotic factors ‘Ambriela’ variety was developed. Productivity: 26.9t/ha raw material; essential oil content 1.175-1.185% (dry matter), essential oil production, 104.1 kg/ha. Resistant to biotic, abiotic factors varieties of L. angustifolia have been derived from F1 hybrids with the effect of heterosis. The L. angustifolia variety ‘Favoare’ has an essential oil content of 5.154% (dry matter), major components: linalyl acetate, 38.2%; linalool, 39.2%, inflorescence production, 7.4 t/ha, essential oil production, 155.2 kg/ha; ‘Svetlana’, late variety are distinctively by essential oil content 5.157% (dry matter), major components: linalyl acetate: 44,406%, linalool, 37,250%; inflorescence harvest: 7.7 t/ha; essential oil production, 179.2 kg/ha. The O. vulgare ssp. hirtum ‘Savoare’ variety was selected with production of raw matter, 8.9 t/ha; pharmaceutical herba production, 1.88 t/ha; essential oil production, 138 kg/ha; essential oil content, 3.877% (dry matter), major components: carvacrol, 83.917%. The O. vulgare ssp. vulgare ‘Panacea’ variety was developed with production of raw matter of 7.8 t/ha; essential oil production: 8.35 kg/ha. Essential oil content: 0.267% (dry matter). Major essential oil components: germacrene, 31.13%.
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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".