Nitrogen and sulfur Association: Effects on Yield Components and Physical Attributes of Wheat Seeds
Bibliographic record
Abstract
The aimed to evaluate the effect of different nitrogen doses in association with sulfur fertilization on yield components and seeds physic-quality attributes. The experimental design was randomized blocks, arranged in a 3 × 5 × 2 factorial design (cultivar × nitrogen doses × sulfur management), with four replications. The analysis of variance revealed that wheat cultivars × sulfur management interaction was significant for height insert of main spike. Interaction was verified between cultivars × nitrogen doses for number of tillers per plant and number of spikes per m2. The nitrogen doses × sulfur management interaction was significant for number of tillers per plant. Interaction between cultivars × nitrogen doses were observed for number of spicules per spikes and number of seeds per spike. Nitrogen fertilization has different effects on wheat cultivars. The cultivar ‘TBIO Sinuelo’ presents greater seeds yield with improvement of nitrogen fertilization doses. High nitrogen doses provide increasing of wheat seeds yield. Nitrogen doses influence differently on yield components of wheat. Number of tillers per plant is correlated with seeds yield. Physical attributes of wheat seeds are not influenced by nitrogen doses increasing. Sulfur fertilization promotes tillering and increment of number of spicules per spike. The cultivar ‘TBIO Sinuelo’ presents higher weight per 1000 seeds, followed by ‘Jadeíte 11’, and ‘TBIO Sintonia’.
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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 | 0.000 |
| 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".