Tolerance of kidney beans (<i>Phaseolus vulgaris</i>) to bentazon alone and when mixed with imazamox
Bibliographic record
Abstract
Tolerance of Montcalm and Redhawk kidney beans to bentazon, imazamox plus fomesafen and imazamox plus bentazon applied postemergence at the maximum label rate in soybeans and twice that rate were studied at two Ontario locations (Exeter and Ridgetown) in 2001 and 2002. There were no differences between the two cultivars in their response to the herbicides tested. At Exeter in 2001, bentazon reduced plant height by 10 and 12% and yield by 33 and 22% at the label and twice that rate, respectively. Yield was also reduced by 11% at Exeter in 2002 at twice the label rate. Imazamox plus fomesafen reduced plant height equally by 14% and yield was reduced by 22 and 30% at the label rate and twice the label rate, respectively, at Exeter in 2001. Imazamox plus bentazon in Exeter in 2001 reduced plant height equally by 8% and yield by 20 and 14% at the label rate and twice the label rate, respectively. There were no negative effects on plant height, dry weight and yield at the other site-yrs. This research suggests that bentazon, imazamox plus fomesafen and imazamox plus bentazon applied postemergence can cause severe crop injury and yield reduction in kidney bean production under certain environmental conditions. Key words: Bentazon, crop tolerance, fomesafen; imazamox, Montcalm, Phaseolus vulgaris, Redhawk.
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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) | 0.001 | 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".