Oil Yield of Sunflower Cultivated With Different Water Depths and Nitrogen Doses
Bibliographic record
Abstract
Sunflower is adapted to different soil and climate conditions, but its water and nitrogen requirements are not well defined. This study was carried out in Apodi, Rio Grande do Norte, Brazil, to evaluate the oil yield of sunflower in response to irrigation depth and nitrogen dose. A randomized block experimental design was used with a factorial scheme with four replications. The factors tested were irrigation depths corresponding to 58, 80, 100 and 120% of crop evapotranspiration (water-use efficiency variable), and nitrogen doses corresponding to 40, 100, 200 and 370% of the standard dose. Data were submitted to analysis of variance by the F-test, followed by the Tukey test of means and regression analysis. The increase in the water depth until 100% ETc and in the nitrogen dose until 260 kg ha-1 promoted increase in the values of all variables, but at higher nitrogen doses the variables decreased. The response surfaces showed stronger response to nitrogen dose for the water depths around 100% ETc and for the lower nitrogen doses, and greater water use efficiency for the production of oil for the water depths around 100% ETc, independently of nitrogen dose.
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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 | 0.000 | 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 | 0.001 |
| 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".