Thidiazuron and Ethyl-trinexapac Affect Upland Rice Irrigated by Sprinkler Irrigation
Bibliographic record
Abstract
Rice is a prominent crop in Brazil. Its cultivation predominates in flooded areas in the South region of the country. However, the upland rice grown in the Midwest Region is a viable option for a sustainable expansion in the country. It still results in a grain yield lower than that of flooded cultivation, and there are constant problems with crop lodging, especially in areas using sprinkler irrigation. Thus, new ways to increase grain yield and minimize upland rice lodging are critical. The objective of this study is to verify the effects of thidiazuron and ethyl-trinexapac on the rice culture and verify whether the simultaneous use of both results in a beneficial interaction. The work was carried out in Selvíria, MS, using the cultivar BRS Esmeralda in the agricultural years 2015/16 and 2017/18. The experimental design was randomized blocks in a 2 × 4 factorial design with four replications. The treatments were combinations of application of the plant regulator thidiazuron at a fixed dose of 1.0 g ha-1 (presence or absence) and four doses of the growth regulator ethyl-trinexapac (0, 50, 100 and 150 g ha-1). Thidiazuron did not affect grains yield. Ethyl-trinexapac reduced plant height and eliminated lodging. The simultaneous use of both regulators did not affect the rice culture regarding the analyzed variables.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".