Alleviation of injury from chlorimuron-ethyl in maize treated with safener 3-dichloroacetyl oxazolidine
Bibliographic record
Abstract
Zhao, L.-X., Qu, H.-T., Fu, Y., Gao, S. and Ye, F. 2015. Alleviation of injury from chlorimuron-ethyl in maize treated with safener 3-dichloroacetyl oxazolidine. Can. J. Plant Sci. 95: 897–903. The protective effects of herbicide safeners, including 3-dichloroacetyl-2,2-dimethyl-1,3-oxazolidine (R-28725), 3-dichloroacetyl-2,2-dimethyl-4-ethyl-1,3-oxazolidine (Racemate), and its two enantiomers (R)-3-dichloroacetyl-2,2-dimethyl-4-ethyl-1,3-oxazolidine (R-enantiomer) and (S)-3-dichloroacetyl-2,2-dimethyl-4-ethyl-1,3-oxazolidine (S-enantiomer), on reducing the phytotoxicity of chlorimuron-ethyl to maize were investigated. Soaking the seeds in safeners increased the endogenous glutathione (GSH) content and glutathione-S-transferase (GST) activity of maize. When induced by R-enantiomer, the GST activity in vivo and in vitro increased 180 and 192% compared with control, respectively. R-28725 and R-enantiomer also increased the acetolactate synthase (ALS) activity inhibited by chlorimuron-ethyl from 45 to 100 and 97% compared with the control, respectively. The kinetic parameter Vmax of GST in the maize treated with R-28725 and R-enantiomer increased by 103 and 92%, respectively, compared with the control. Our results suggest that R-28725 and R-enantiomer could significantly improve the GSH content, GST activity, and ALS activity of maize. Overall, maize could be protected from the injury caused by chlorimuron-ethyl.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".