Effect of Acetolactate Synthase Inhibitor Herbicides on Upland Rice (Oryza Sativa Linn.) Cultivars
Bibliographic record
Abstract
This study aimed to evaluate the selectivity of the acetolactate synthase (ALS) inhibitor recommended herbicides for upland rice cultivars on different developmental stages. The experiment was conducted in the field, in Nova Xavantina-MT, Mato Grosso, Brazil, from season 2009/2010. The experimental design was the one of randomized blocks in factorial scheme, composed by the herbicide treatments penoxsulam (36 g ha-1); bispyribac-sodium (50 g ha-1); pyrazosulfuron-ethyl (20 g ha-1) and weeded control. Herbicides were applied at three times: 15, 30 and 45 days after emergence (DAE) with four replications in two upland rice cultivars: BRS Pepita and BRS Monarca. At 7, 14 and 28 days after application (DAA) the following assessments were performed: phytotoxicity to the crop, plant height, dry weight, number of panicles m-2, grains per panicle-1 and productivity. The highest levels of phytotoxicity were observed in plants treated with bispyribac-sodium applied at 15 and 30 DAE. The rice plants were able to recover as for height influenced by herbicides from 14 DAA. The dry weight of plants was not affected by herbicide application. Since they have not reduced the grain productivity, the herbicides tested, when applied at 30 DAE, have showed their potential to be used only in BRS Monarca cultivar.
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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".