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Record W2110451937 · doi:10.5539/ijb.v5n4p36

Distribution of Leaf Flavonoid Aglycones and Glucuronides in the Genus Phaseolus and Related Genera

2013· article· en· W2110451937 on OpenAlexvenueno aff
Michelle L. Poe, Andra Bates, Joseph C. Onyilagha

Bibliographic record

VenueInternational Journal of Biology · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Research and Chemistry
Canadian institutionsnot available
Fundersnot available
KeywordsPhaseolusKaempferolBotanyFlavonoidApigeninAglyconeVignaLuteolinBiologyQuercetinFlavonesGlycosideBiochemistry

Abstract

fetched live from OpenAlex

Ninety-six species and hybrids of the genus Phaseolus and related genera, Dysolobium, Macroptilium, Strophostyles, and Vigna are surveyed for their leaf flavonoid (flavone/flavonol) aglycone and glucuronide distribution patterns. The aim is to determine whether the distribution patterns of certain flavonoid aglycones and/or glucuronides are restricted in each genus and hence, could be used to delineate the genus. The results show that flavonol aglycones (kaempferol and quercetin) are more frequent in the entire group than the flavones (luteolin and apigenin). Kaempferol is more prevalent than quercetin in the genus Macroptilium, while Strophostyles accumulates mainly quercetin. There is generally no restricted pattern for a particular type of flavonoid aglycone in Phaseolus and Vigna genera. Results also show the presence of flavonoid glucuronides in six out of 18 species of Phaseolus surveyed, but are absent in all the species of Vigna, Macroptilium, and Strophostyles. The situation in Dysolobium is inconclusive. A flavonoid band moved toward the anode during electrophoresis (a positive test for the presence of glucuronide) but glucuronic acid was not detected during subsequent analysis. In the genus Phaseolus, all the species and cultivars that accumulate flavones such as P. coccineus, P. ricciardianus and P. parviflorus accumulate flavone glucuronides, while P. vulgaris, P. tuberosus and P. zebra accumulate flavonol glucuronides.

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 score0.892
Threshold uncertainty score0.124

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 head0.015
GPT teacher head0.264
Teacher spread0.249 · 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
Published2013
Admission routes1
Has abstractyes

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