Silicon Added to Common Bean Seeds: Physiologic and Sanitary Effects
Bibliographic record
Abstract
The objective of this study was to evaluate the effect of the of common bean seeds coating with different doses of Si, supplied by the carbonized rice hulls, in its physic, physiologic and sanitary attributes, as well determine the amount of this element absorbed in plants. The experiment was conducted in Laboratory of Seed Analysis belonging to the Universidade Federal de Pelotas-Brazil, during the crop season 2014/2015. For this, common bean seeds of cultivar BRS Expedito were treated at doses of 0, 45, 90, 135 and 180 grams of Si 100 kg-1 of seeds, using a completely randomized experimental design with four replicates The use of different doses of carbonized rice hulls in the seed coat does not alter the physical quality and does not negatively affect the physiological quality of the seeds. Crescent doses of carbonized rice hulls up to 101 g of Si 100 kg-1 of seeds increase the seedlings vigor evaluated by the total dry mass and length of shoot at 21 days after seeding, as well as the Si amount in roots. The root dry mass at 21 days after seeding presents growth reduction with the increase of doses until 104 g of Si 100 kg-1 of seeds, although, without compromising the shoot development and the element accumulation. The different Si doses supplied by the carbonized rice hulls do not control pathogens associated to seeds.
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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".