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Record W4315631962 · doi:10.1139/cjb-2022-0093

Survival, and anatomical and ecophysiological changes in isolated individuals of <i>Tillandsia recurvata</i> L. (Bromeliaceae) grown under different shading conditions

2023· article· en· W4315631962 on OpenAlexvenueno aff
Bianca Aparecida Borges e Silva, Maria Paula Bandoni Chaves, Heloisa F. Silvério, Flávio Nunes Ramos, Jean Paulo Vitor de Oliveira, Evaristo Mauro de Castro, Fabrício José Pereira

Bibliographic record

VenueBotany · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFern and Epiphyte Biology
Canadian institutionsnot available
Fundersnot available
KeywordsShadingBromeliaceaeBiologyBotanyRhizomeChlorophyllDry weightHorticulture

Abstract

fetched live from OpenAlex

Tillandsia recurvata L. may show morphophysiological plasticity in response to radiation availability, since this species is found in different environments. This work aimed to evaluate the anatomical and physiological modifications of T. recurvata isolated individuals under different shading levels and the consequences of these changes on the growth of this species. The individuals were exposed for 60 days to treatments as follows: full sun (unshaded) and shading of 35%, 75%, and 85%. Growth analyses were performed, and the leaf anatomy and water content were assessed. All plants submitted to full sun or 35% shading died, whereas those under 75% and 85% shading survived. The water content in leaves and rhizomes was higher under 85% shading, and this treatment increased the leaf area and the number of leaves in T. recurvata. Leaf dry mass, leaf elongation rate, biomass allocation to rhizomes, and net assimilation rate were higher under 85% shading. The leaves had a thicker hypodermis, lower proportions of both epidermis and vascular bundles, and a higher proportion of chlorophyll parenchyma under 85% shading. Tillandsia recurvata individuals behave as sciophytic, while the formation of clusters may change microclimate conditions; the behavior of clumped plants must be further investigated.

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 score0.620
Threshold uncertainty score0.201

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 head0.029
GPT teacher head0.246
Teacher spread0.218 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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