И др. Морфология возбудителя пурпурного церкоспороза сои и пути снижения его вредоносности
Bibliographic record
Abstract
The article presents the materials on the molecular-genetic identification of the causative agent of the disease on soybeans in the Amur region, as view Cercospora kikuchii. The Described biological, morphological properties and symptoms defeat of various organs of soybean pathogen. Held the evaluation of lesions of seeds Cercospora kikuchii varieties of Russian varieties and 150 varieties and accessions in the VIR collection of different origins observed that the most prevalent disease has been on the sorts of Bylina (28 %), Maleta (6,8 %), there are no signs of defeat in the varieties Rosinka, Lada and varieties from the Czech Republic, Canada, USA, Poland, Germany, Sweden, Slovakia, Austria, France, Hungary, Yugoslavia, China, Ukraine, Japan, vegetation period up to 120 days. Evaluated the effectiveness of drugs against the pathogen. The best results were observed when using drugs Maxim, Fitosporin-M, Zerebra Agro, Fertigrain Start, Fertigrain foliar.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".