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Record W1914236523 · doi:10.1139/cjb-2014-0087

Inulin contents and tissue distribution in underground storage organs of Asteraceae species from the Brazilian rocky fields

2014· article· en· W1914236523 on OpenAlexvenueno aff
Emanuela de Oliveira Joaquim, Rita de Cássia L. Figueiredo-Ribeiro, Adriana Hissae Hayashi, Maria Ângela Machado de Carvalho

Bibliographic record

VenueBotany · 2014
Typearticle
Languageen
FieldNursing
TopicMicrobial Metabolites in Food Biotechnology
Canadian institutionsnot available
Fundersnot available
KeywordsFructanAsteraceaeBiologyInulinBotanyTrichomeFood science

Abstract

fetched live from OpenAlex

Geophytes are widespread in rocky fields, having evolved to survive adverse environmental conditions mainly because of their underground storage organs and reserve compounds. Among these compounds, carbohydrates have several functions other than as an energy source, including protection against drought and extreme temperatures. In this work, we analyzed the composition and tissue distribution of carbohydrates in the underground organs of four Asteraceae species from a preserved area of rocky fields in the Brazilian Cerrado. Soluble carbohydrates were quantified and analyzed by HPAEC–PAD, and starch was analyzed by an enzymatic assay. All species (Baccharis subdentata DC., Chresta curumbensis (Philipson) H.Rob., Lessingianthus floccosus (Gardner) H.Rob., and Strophopappus glomeratus (Gardner) R.Esteves) store long-chain inulin-type fructans. Among them, C. curumbensis presented the highest amount of soluble carbohydrates, comprising 25% of the reserve organ dry mass. Inulin sphero-crystals were visualized under polarized light, mainly in the vascular cylinder. Buds were found on the underground organs of B. subdentata and C. curumbensis, and secretory structures were identified in S. glomeratus, L. floccosus, and C. curumbensis. The occurrence of buds, secretory structures, and fructans in these organs is probably related to ecophysiological strategies used as defense and survival mechanisms in response to stress conditions, particularly drought and fire, that occur frequently in rocky fields.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.692
Threshold uncertainty score0.374

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 head0.011
GPT teacher head0.236
Teacher spread0.225 · 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

Citations23
Published2014
Admission routes1
Has abstractyes

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