Length of residual activity of saflufenacil/dimethenamid-p in soybean (Glycine max)
Bibliographic record
Abstract
Soltani, N., Robinson, D. E, Miller, R. T. and Sikkema, P. H. 2015. Length of residual activity of saflufenacil/dimethenamid-p in soybean (Glycine max). Can. J. Plant Sci. 95: 727-733. A total of six field studies were conducted over a 2-yr period (2009, 2010) at three Ontario locations to determine the length of residual activity of saflufenacil/dimethenamid-p applied preemergence (PRE) for the control of annual weeds in soybean. As the rate of saflufenacil/dimethenamid-p increased from 0 to 980 g a.i. ha-1 the maximum cumulative emergence percentage for common lambsquarters, redroot pigweed and common ragweed decreased. Additionally, as the saflufenacil/dimethenamid-p rate increased from 0 to 980 g a.i. ha-1, the cumulative emergence of common lambsquarters, redroot pigweed and common ragweed slowed down over time. Times to 10% emergence were 1.0, 1.0, 2.1, 3.2, 3.9, 6.6 and >12 wk for common lambsquarters, 1.4, 1.6, 1.8, 2.6, 4.3, >12 and >12 wk for redroot pigweed and 0.8, 1.0, 2.2, 2.7, 3, >12 and >12 wk for common ragweed with saflufenacil/dimethenamid-p applied at 0, 30.625, 61.25, 122.5, 245, 490 and 980 g a.i. ha-1, respectively. Based on these results, saflufenacil/dimethenamid-p applied PRE at the labelled use rate of 245 g a.i. ha-1 can provide as much as 3.9, 4.3 and 3wk of effective control of common lambsquarters, redroot pigweed and common ragweed, respectively in soybean.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 source (direct Gemma or distilled Codex), 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".