Soybean (<i>Glycine max</i>) Tolerance to Timing Applications of Pyroxasulfone, Flumioxazin, and Pyroxasulfone + Flumioxazin
Bibliographic record
Abstract
Four field studies were conducted over a 3-yr period (2011 to 2013) to determine the tolerance of four soybean cultivars to pyroxasulfone (89 and 178 g ai ha −1 ), flumioxazin (71 and 142 g ai ha −1 ), and pyroxasulfone + flumioxazin (160 and 320 g ai ha −1 ) applied either preplant incorporated (PPI), PRE, or at the soybean cotyledon stage (COT). When pyroxasulfone + flumioxazin was applied at 160 and 320 g ai ha −1 , at the cotyledon stage soybean yield was decreased by 9 and 14%, respectively. The only other treatment that decreased soybean yield was pyroxasulfone (178 g ai ha −1 ) applied PPI; yield was decreased by 6% despite minimal injury and dry biomass reductions observed during the season. Soybean tolerance to pyroxasulfone or flumioxazin applied alone was generally similar and injury was less than with pyroxasulfone + flumioxazin. Similarly, herbicides applied PPI and PRE were less injurious to soybean than the COT timing. Results suggest that soybean is tolerant to PPI and PRE applications of pyroxasulfone + flumioxazin but COT applications should be avoided.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".