Physiological Behave of Acai Seedlings (Euterpe precatoria MART.) under Increasing Levels of Irradiance
Bibliographic record
Abstract
The palm tree Euterpe precatoria Mart. is distributed all over the amazon region. The extractive exploitation mainly in coastal communities, where its use is essential in food, presents insufficient to attend a business model in isolated communities. As a result, management plans are required for the survival of this species. One of the primary limiting factors for seedling growth is light, with a view to its direct link with the photosynthetic efficiency. Among the main factors linked to the photosynthetic efficiency of plants and therefore to their establishment and development in different environments, is the concentration of chloroplastidic pigments (chlorophyll a, b and carotenoids). Based on the assumptions pointed the aim of this study was based on obtaining of knowledge and the potential of applicability on the production system of plant bags of this species from possible physiological characteristics of adaptability developed by E. precatoria Mart seedlings submitted to different conditions irradiance availability. Particularly, on the regulation of the concentrations of chloroplastidic pigments. Among the evaluations carried out in this work it can be said that Euterpe precatoria under different light intensities, proved probably acclimatized. This behavior suggests that the species tolerates environments with different levels of irradiance, about the increase of biomass and carotenoid content and chlorophyll a, there is no significant differences and showed higher levels for chlorophyll b in shaded environments (Engel & Poggiani, 1991; Kahn & De Granville, 1992).
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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 | 0.001 |
| 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".