The Environmental Degradation and Distribution of Saflufenacil, a Fluorinated Protoporphyrinogen IX Oxidase–Inhibiting Herbicide, on a Canadian Winter Wheat Field
Bibliographic record
Abstract
Abstract Saflufenacil when applied to a field is susceptible to transport, degradation, and transformation. We used a laboratory-based approach to model the fate of saflufenacil in the environment, the results of which are compared directly with those observed in a field study where saflufenacil was applied to a crop of winter wheat at a standard rate of 63 g of active ingredient/hectare. The water solubility of 2.1 g/L for saflufenacil allows for vertical transport through soil at a rate of 4.3 cm/mL of rainwater, and a soil adsorption coefficient KOC of 28.8 suggests that some of the herbicide will absorb to the soil. Of the saflufenacil in the soil, 78 ± 2.1% (n = 18) partitioned into plants, including nontargeted crop species, where it was found primarily in leaves (78 ± 2.1%, n = 18) and roots (22 ± 1.7%, n = 18). The saflufenacil that does not partition into plants or undergo vertical transport followed a degradation pathway into 3 metabolites: a uracil-ring N-demethylated metabolite (Saf-µCH3), a doubly N-demethylated metabolite (Saf-2CH3), and a ring-cleavage metabolite (Saf-RC), identified using nontargeted mass spectrometry. In the field, saflufenacil was observed to degrade over 212 d to the persistent metabolite Saf-RC. This metabolite was found at a concentration that was 1/10th of that applied to the field, suggesting that the majority of saflufenacil had undergone transport through the soil, or uptake into the winter wheat crop. Field samples were further examined using F-19 nuclear magnetic resonance and nontargeted mass spectrometry to rule out the potential of other degradation products. Environ Toxicol Chem 2020;39:1918–1928. © 2020 SETAC
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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 | 0.000 | 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 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".