Spatial Distribution, Morphological Descriptors and Seed Biometry of Syagrus oleracea (Mart.) Becc. (Arecaceae): An Important Brazilian Cerrado Palm
Bibliographic record
Abstract
The Syagrus oleracea is adapted for dry regions, has used for food, ornamental palm and development of cosmetic. It occurs in impacted areas of Cerrado. The management of the species is important for traditional communities. Morphological descriptors, biometric pyrenes and spatial distribution of individuals are important for the species distinction, conservation, forest management and implantation of breeding programs. Thus, our objectives were to determine and correlate the main morphological characters of the palm tree, to evaluate the biometric of the pyrenes and the spatial distribution of the species. Neighbourhood Density Function (NDF) evaluated the spatial distribution in georeferenced individuals in four populations (Mirabela, Mato Verde, Rio Pardo de Minas and Novorizonte). The Novorizonte population showed an aggregate pattern in the first distance classes. The other populations had a random pattern. We evaluated 13 morphological descriptors in six populations (Mirabela, Mato Verde, Rio Pardo de Minas, Novorizonte, Varzelandia and São João da Ponte). The cluster analysis corroborates the results obtained by the multivariate analysis, which shows a greater distance of the SJP3 and SJP5 samples from the other accessions. The evaluated characteristics of the pyrenes biometry were: longitudinal diameter, equatorial diameter and the mass of the pyrenes. The highest mean longitudinal (22.17 mm) and equatorial diameter (38.89 mm) in addition to the mean mass (9.29 g) were observed in the Novorizonte population. The fruits of S. oleracea present an elongated shape. The study generated important information about the species that is still little studied, and has economic potential for product development.
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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 | 0.001 |
| Open science | 0.001 | 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".