THE EX SITU COMPARISON OF TWO IMPROVED ST. JOHN'S WORT (HYPERICUM PERFORATUM) CULTIVARS WITH AN IRANIAN WILD POPULATION
Bibliographic record
Abstract
This research is part of an ongoing selection and breeding effort to target Iranian genotypes of Hypericum perforatum with the potential to produce higher amounts of desired secondary metabolites and greater resistance to fungal pathogens. There is a significant interest in the development of such cultivars to supply materials to the local pharmaceutical industries. For this reason, two improved cultivars of H. perforatum ("Gold" and "Veperikon") were compared with a wild Iranian population (Ardabile population) under common garden conditions in Iran. Plants were cultivated from seed in a greenhouse and seedlings were transplanted after one month to the field plots. The statistical design of this study was a Randomized Complete Block Design with three replications. During the period of full flowering, selected phenological (number of days to flowering), morphological (plant height, mean leaf area, number of black glands/leaf) and chemical (hypericin and pseudohypericin content) characteristics were assessed. Our observations were that the "Veperikon" cultivar is very sensitive to soil-borne diseases. All transplanted seedlings were infected by the plant pathogenic fungus Colletotrichum gloeosporioides, which caused necrosis of the whole plant. Both the "Gold" cultivar and plants from the wild population persisted despite mild infections with C. gloeosporioides and produced flowering shoots at both the first and second years after cultivation. The "Gold" cultivar was superior to the Ardabile population in terms of phenological and morphological characteristics. The average naphthodianthrone content (% dry weight of tissue) for the wild Iranian population was 0.04(±0.01)%, but for the "Gold" cultivar, 0.33(±0.43)%. These data indicate that selection and directed cultivation of Iranian H. perforatum plants can result in plants with improved morphological, phenological and chemical characteristics.
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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".