Quality of Soybean Seeds Cultivated on Different Potassium Fertilization Management
Bibliographic record
Abstract
Soybean is one of the crops worldwide cultivated, and although it is usually commercialized quantitatively, qualitative characteristics of its production are highlighted, particularly oil and protein content, which is important for human and animal nutrition besides higher industrial yields in the synthesis of its derivatives. This study assessed the quality seed changes of soybean cultivated under different potassium rates in an Oxisol under no-tillage system in Floresta, Paraná State, Brazil. The experiment designed was in complete randomized blocks composed of a cross factorial (5 × 2) with four replicates. It was carried out in two growing seasons (2016/2017 and 2017/2018) totaling 40 experimental units. The rates (0, 40, 80, 120, and 160 kg ha-1 of K) corresponded to the first factor and sowing fertilization (0 and 30 kg ha-1 of K) was the second factor. Seed electrical conductivity, water content, seed K leaching, seed K content, oil and protein content, seed density, seed mass and yield were measured. The results indicated that K application for soybean may promote better quality seeds production, since electric conductivity, oil and water content and yield have increased in some conditions, although the sowing fertilization did not influence.
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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 | 0.000 |
| 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".