Management of Cercospora leaf spot in sugar beet and aerobiology of Cercospora beticola Sacc.
Bibliographic record
Abstract
Cercospora leaf spot, caused by Cercospora beticola Sacc., is the most detrimental disease of sugar beet (Beta vulgaris L.) in the Great Lakes Region. Field trials determined efficacy of BEETcast™ 50/35, BEETcast™ 55/50, and calendar spray schedules using 115 or 235 L ha 1 carrier volume with disease severity value (DSV) accumulation beginning at 1 May or crop emergence. Disease progress was minimized by spray schedules with conservative application intervals compared to longer application intervals. Area under the disease progress curve was reduced by a carrier volume of 235 L ha 1 compared to 115 L ha 1 at one of five sites, and DSV start date at emergence compared to 1 May at one of two sites. Aerial C. beticola conidia concentration was assessed in 6 h intervals and peaked in September with daily mean maxima from noon to 6 pm. Daily mean air temperature was related to daily mean conidia concentration when all data were considered and when concentration exceeded 30 spores m 3.
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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) | 0.000 | 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 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".