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Record W2149687514 · doi:10.5539/jas.v7n3p236

Physiological Behave of Acai Seedlings (Euterpe precatoria MART.) under Increasing Levels of Irradiance

2015· article· en· W2149687514 on OpenAlexvenueno aff
Íres Paula de Andrade Miranda, Zilvanda Lourenço de Oliveira Melo, Edelcílio Marques Barbosa

Bibliographic record

VenueJournal of Agricultural Science · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGrowth and nutrition in plants
Canadian institutionsnot available
Fundersnot available
KeywordsCarotenoidAdaptabilityIrradianceBiomass (ecology)SeedlingPhotosynthesisLimitingChlorophyllBiologyBotanyChlorophyll aHorticultureEnvironmental scienceAgronomyEcologyEngineering

Abstract

fetched live from OpenAlex

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).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.936
Threshold uncertainty score0.171

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.058
GPT teacher head0.259
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2015
Admission routes1
Has abstractyes

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