Slurry Composition and Physiological Quality of Treated Soybean Seeds Over Storage
Bibliographic record
Abstract
Industrial seed treatment assures uniform coverage of seeds with insecticides, fungicides, micronutrients and bioestimulant at precise dose, however often resulting in higher slurry volume. Furthermore, seeds are coated long periods of time prior sowing and may influence germination and vigor. Thus, the aim of this work was to evaluate the influence of seven industrial seed treatments and their respective slurry volumes on the physiological potential of soybean seeds at 0, 15, 30, 45, 60 and 90 days of storage. In each storage period, the variables germination, accelerated aging test and emergency speed index were evaluated and studied in the repeated measures in time model. The products used were: fungicide (thiabendazole, fludioxonil and mefenoxam), insecticide (thiametoxam), insecticide/nematicide (abamectin), micronutrients (cobalt and molybdenum), bioregulator, drying powder and polymer. High volumes of seed-coating mixtures reduce the physiological quality of soybean seeds over storage. However, the slurry composition also influenced on the maintenance of the seed germination and vigor throughout the storage.
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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".