Assessing Effects of Climatic Change, Region and Agronomic Practices on Leaf Spotting of Bread and Durum Wheat in the Western Canadian Prairies, from 2001 to 2012
Bibliographic record
Abstract
The leaf spotting (LS) complex is a widespread wheat (Triticum spp.) disease across the Canadian Prairies. A 12‐yr survey (2001–2012) was conducted in commercial fields across Saskatchewan, Canada to quantify LS and pathogen prevalence by wheat species, soil zone, latitude, longitude, previous crop/tillage, and climate. Leaf spotting severity was greater in durum than bread wheat. Pyrenophora tritici‐repentis had the greatest percentage occurrence and frequency of isolation. Percentage isolation of this pathogen and Cochliobolus sativus was greater in durum than bread wheat, while the reverse was true for Phaeosphaeria nodorum. Responses of wheat species to previous crop/tillage were not consistent. Bread wheat in the Brown soil zone had lower LS, and C. sativus levels, than in the other two soil zones, no other pathogen was significantly affected by soil zone. For bread wheat, going northward and eastward increased LS severity, going eastward decreased P. tritici‐repentis levels, going northward and eastward increased P. nodorum, while going south, and to a lesser extent east, increased C. sativus. Wet and warm conditions, particularly in the last years of this survey, and the presence of P. nodorum and C. sativus, were responsible for greater LS severity. Overall, P. tritici‐repentis was associated with warmer and drier conditions, and could not explain LS severity. Greater precipitation and temperature, especially in the last 3 yr (2010–2012), coincided with greater LS and C. sativus levels. Therefore, under higher precipitation and temperatures, C. sativus can become an important leaf pathogen in the western Prairies, especially in durum wheat. Long‐term survey assessed climate impacts on leaf spot levels and pathogen prevalence. Used climate data in a zone around each field for accurate assessment of its effects. Large‐scale assessment of soil impacts on leaf spot severity and pathogen prevalence. Identification of leaf spot pathogens most associated with disease severity in wheat.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".