Morphometric Characterization and Seed Dormancy Overcoming of Sapindus saponaria L.
Bibliographic record
Abstract
S. saponaria L. is a Brazilian native arboreal species, with relevant ecological importance in the recovery of degraded and marginal areas. The objectives of the present study were to characterize morphometrically Sapindus saponaria L. seeds, to extract and to quantify oil content, establish the percent composition of fatty acids; to describe their different post-seminal stages; to describe the different post-seminal stages, as well as to evaluate the germinative performance of the seeds as a function of different treatments to overcome dormancy. Seeds were evaluated as to water content and biometric length and width. The extraction and quantification of the seed oil was obtained by the solvent extraction method using the Soxhlet extractor system. Regarding the post-seminal development, some processes triggered during growth and development of the seedlings were evaluated. The treatments for dormancy overcoming were: mechanical scarification, chemical scarification with sulfuric acid for 5, 10, 20, 30 and 40 minutes, immersion in hot water (80 ºC) until reaching room temperature, immersion in distilled water at room temperature for 24 hours and intact seeds (control). The seeds were evaluated for germination, velocity, medium time, synchrony and germination uncertainty. The design was a completely randomized design with four replicates of 25 seeds per treatment. The seeds present on average 10.3 mm in length and 10.2 mm in width with hygene-cryptocoledonar germination. The oil content found in the seeds was 7.25%, most of which was composed of unsaturated fatty acids (78.9%). The highest values of germination occur when the seeds are immersed in sulfuric acid for 30 minutes.
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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".