Response of winter wheat (<i>Triticum aestivum</i> L.) to autumn applied saflufenacil
Bibliographic record
Abstract
There is limited information on the effect of saflufenacil application timing when applied in autumn to winter wheat. Five field experiments were conducted over a three-year period (2007- 2009) at two locations (Ridgetown and Exeter, Ontario) to evaluate the tolerance of winter wheat to autumn applications of saflufenacil applied pre-plant (PP), pre-emergence (PRE), or post-emergence (POST) at 25, 50, 100 and 200 g a.i. ha-1. As the dose of saflufenacil increased, the amount of injury observed also increased. By May of the following spring, injury ranged from 11 to 20% at the 25 to 200 g a.i. ha-1 doses of saflufenacil. Saflufenacil applied PP and PRE caused little to no injury in winter wheat. Saflufenacil applied POST and POST + Merge in the autumn caused up to 41% injury with the POST + Merge application being the most injurious. However, this injury was transient with no effect on winter wheat height or yield the following summer.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".