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Record W3000281533 · doi:10.5539/jas.v12n2p1

Capsicum Cultivated Under Adverse Conditions Produces High Concentrations of Antioxidants and Capsaicinoids

2020· article· en· W3000281533 on OpenAlexvenueno aff
Katsuko Kajiya, Hiroki Yamanouchi, Yurika Tanaka, Hiroka Hayashi, Yuji Minami

Bibliographic record

VenueJournal of Agricultural Science · 2020
Typearticle
Languageen
FieldNeuroscience
TopicIon Channels and Receptors
Canadian institutionsnot available
FundersBio-oriented Technology Research Advancement InstitutionJapan Society for the Promotion of Science
KeywordsPepperOrange (colour)Capsicum chinenseHorticultureBiologySolanaceaeBotanyNutrientAgronomy

Abstract

fetched live from OpenAlex

Growing crops in sabulous soil is challenging owing to limited oligotrophy and low water retention. Nonetheless, some plants adapt well, imparting favorable properties to the fruit. This study investigated the influence of sandy soil (southern Japan) on red pepper by assessing the levels of pungent components, antioxidant activity, and vascular endothelial function. Leaves and fruits of Habanero orange and Tabasco pepper, the two varieties most suitable for cultivation in sandy soil, were analyzed for size, color, and pungent component composition. Pungent components were detected in the seeds and placenta of fruits but not in leaves or flowers. Antioxidant activity and nitric oxide production in human vascular endothelial cells were evaluated to detect differences in functionality. Capsicum peppers cultivated in sandy soil exhibited higher levels of antioxidants than peppers cultivated under nutrient-rich conditions (control) and induced nitric oxide levels in vascular endothelial cells similar to control peppers. Especially Satsuma-Habanero orange peppers cultivated in sandy soil exhibited the highest antioxidant activity. The fruits from pepper plants cultivated in sabulous soil could be harvested for a significantly longer period and were slower to spoil than control peppers; therefore, Satsuma-Capsicum plants may be commercially viable in oligotrophic areas.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.257

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.026
GPT teacher head0.261
Teacher spread0.234 · 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
Published2020
Admission routes1
Has abstractyes

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