The influence of the water extract of Canadian goldenrod (Solidago canadensis L.) on the growth of phytopathogenic fungi
Bibliographic record
Abstract
Zbog negativnih posljedica primjene kemijskih fungicida na okoliš i zdravlje ljudi, sve veći interes usmjeren je na razvoj bioloških mjera zaštite, među kojima se ističe primjena biljnih ekstrakata. Cilj ovog istraživanja bio je ispitati antifungalno djelovanje biljnih ekstrakata dobivenih iz lišća i cvjetova kanadske zlatnice (Solidago canadensis L.) na rast fitopatogenih gljiva Sclerotinia sclerotiorum i Botrytis cinerea u in vitro uvjetima. Ekstrakti su primijenjeni u koncentracijama od 75 mg/mL i 150 mg/mL, a njihova učinkovitost uspoređena je s djelovanjem komercijalnih fungicida. Najveći stupanj inhibicije pokazao je ekstrakt cvijeta u višoj koncentraciji (150 mg/mL). Kod S. sclerotiorum zabilježena je statistički značajna inhibicija formiranja sklerocija, osobito tretmanom ekstraktom lista u istoj koncentraciji (91 % inhibicije). Patogen B. cinerea nije formirao sklerocije tijekom pokusa, no najveća učinkovitost također je zabilježena primjenom cvjetnog ekstrakta (150 mg/mL). Dobiveni rezultati ukazuju na antifungalni potencijal ekstrakata S. canadensis, osobito u inhibiciji razvoja micelija i sklerocija kod S. sclerotiorum.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".