Weed control and crop safety with premixed tolpyralate and bromoxynil on cereals
Bibliographic record
Abstract
Abstract Corteva Agriscience recently registered a premix of tolpyralate and bromoxynil in the United States and Canada for weed control in cereal fields. Limited information exists on weed control efficacy and crop safety with this new herbicide premixture. Greenhouse trials were conducted for 2 yr to test the efficacy of tolpyralate and bromoxynil combinations on 14 broadleaf and four grass weeds and its safety to wheat and barley. Four combinations of tolpyralate and bromoxynil at a 1:10 ratio (3.75 + 37.5, 7.5+ 75, 11.25 + 112.5, and 15 + 150 g ai ha −1 ) as a tank mix and premix were tested. Stand-alone treatments of tolpyralate and bromoxynil were also included in this study. The lowest tested rate of tolpyralate (3.75 g ha −1 ) provided 10% to 98% control of broadleaf weeds and 27% to 77% control of grass weeds. Bromoxynil at the lowest tested rate (37.5 g ha −1 ) provided 16% to 80% control of broadleaf weeds and 0% to 30% control of grass weeds. Tank mixing these two herbicides at the same rates resulted in improved broadleaf (60% to 100%) and grass (45% to 94%) weed control. The minimum recommended field use rate of tolpyralate + bromoxynil (15 + 150 g ha −1 ) controlled all the broadleaf weeds by >95%. That combination also controlled green foxtail, barnyardgrass, and large crabgrass by >90%. An additive or synergistic effect between the two herbicides was observed against several broadleaf and grass weed species. Among all the tested weeds, a greater synergistic effect was observed when the herbicides were used on kochia, chickweed, wild mustard, corn poppy, barnyardgrass, green foxtail, and fall panicum. The premix of the two herbicides provided similar control of broadleaf weeds, but better control of grass weeds than the tank-mix combinations. The premix can be used safely on wheat and barley.
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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".