Temporal and spatial dynamics of mycosphaerella blight [<i>Mycosphaerella pinodes</i>] in field pea
Bibliographic record
Abstract
The temporal and spatial patterns of epidemics of mycosphaerella blight, [Mycosphaerella pinodes] in field pea in western Canada were characterized during 2000 and 2001, using mathematical models and geostatistical analysis. The logistic model well described the disease progress over distances and in various directions from the inoculum source. The temporal disease progress rates measured by the linear form of the logistic model ranged from 0.187 d–1 for disease progress at the inoculated area to 0.288 d–1 for disease progress at 18 m from the inoculum source, and from 0.136 to 0.265 d–1 in various directions. By the end of the epidemic in both years, the steepest disease gradient was located upwind, in the north to northwest section of the field, while gradients in the east to south section became flatter. The disease gradients ranged from –0.009 m–1 in the downwind direction (south) to –0.183 m–1 in the upwind direction (north). The final disease gradients in the field ranged from –0.043 to –0.050 m–1. Disease severity declined by 50% within 1.8 to 15 m and by 90% within 7 to 62 m from the inoculum source in the upwind directions. Disease declined by 50% within 16 to 44 m and by 90% within 55 to 222 m in the downwind directions. On the basis of the final disease gradients in both years, the disease severity declined by 50% and 90% within 8 to 14 m and 40 to 51 m, respectively. Geostatistical analysis showed that the range of the spatial dependence of sampling sites in the field was 18 m within rows in 2000 and across rows in both years. The range of spatial dependence was 22 m in the 45° direction in both years and in the 135° direction in 2000. It was 32 m in the 135° direction in 2001, but no range of spatial dependence was detected within rows in 2001.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".