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Record W1893254445 · doi:10.1139/cjb-2012-0276

Leaf morpho-anatomical variations in <i>Billbergia elegans</i> and <i>Neoregelia mucugensis</i> (Bromeliaceae) exposed to low and high solar radiation

2013· article· en· W1893254445 on OpenAlexvenueno aff
Tiago Augusto Rodrigues Pereira, Luzimar Campos da Silva, Aristéa Alves Azevedo, Dayana Maria Teodoro Francino, Thiago dos Santos Coser, Jaqueline Dias-Pereira

Bibliographic record

VenueBotany · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFern and Epiphyte Biology
Canadian institutionsnot available
FundersFundação de Amparo à Pesquisa do Estado de Minas GeraisConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsMorphoBiologyBromeliaceaeBotanyRosette (schizont appearance)Deserts and xeric shrublandsLeaf bladePetiole (insect anatomy)TranspirationParenchymaPlant anatomyPlant morphologyEcologyGenusPhotosynthesis

Abstract

fetched live from OpenAlex

The morpho-anatomical leaf structure may be directly affected by variations in the environmental conditions to which plants are exposed during development. The “campos rupestres” vegetation (rocky fields) is subjected to several stress conditions and microclimatic variations that result in important adaptations that enable the survival in these environments. In this study, we analyzed the leaf morpho-anatomy of two bromeliads, Billbergia elegans Martius ex Schultes f. and Neoregelia mucugensis Leme, occurring in the rock fields of Itacolomi State Park, southeastern Brazil, and tested for morpho-anatomical variations in response to light conditions. The analysis followed usual techniques in plant anatomy. Both species exhibited variations in the shape of the rosette, leaf color, and size of leaf sheath and blade. Scale density was higher on both leaf surfaces of individuals exposed to high solar radiation. Thickness of the leaf blade, water-storage parenchyma, chlorenchyma, and stomatal density were higher in individuals exposed to low solar radiation, which disagrees with most previous studies and may be related to the environment where these species occur, where water availability is one of the main limiting factors. Our observations point out a need for studies on herb species from xeric environments, which may bring new information on adaptations to these environments.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.947
Threshold uncertainty score0.285

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.007
GPT teacher head0.184
Teacher spread0.177 · 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 designObservational
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

Citations18
Published2013
Admission routes1
Has abstractyes

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