The scientific journey to eradicate smuts on the prairies
Bibliographic record
Abstract
Abstract The cultivation of wheat in North America represents a relatively recent endeavour, spanning a mere 150 years. This relatively brief period of its recent cultivation has allowed the opportunity to document the threats and diseases farmers had to face from the start. In this minireview, our primary objective is to provide a detailed exploration of the historical context on how we end up effectively managing what was once among the most destructive and hard to manage diseases affecting wheat, namely, common bunt (covered smut). This review delves into the early research efforts dedicated to understanding the biology of the causal pathogens and developing effective management approaches. These efforts encompass a wide spectrum of potential methods, ranging from seed treatments to cropping practices, and the development of genetic resistance. Throughout this exploration, we will also spotlight the remarkable scientific success story that has unfolded within the Canadian context. In essence, this review aims to provide a scientific examination of the history, challenges and innovative approaches associated with mitigating the impact of bunt pathogens on wheat cultivation in North America, and future challenges.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.001 | 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 | 0.001 |
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".