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Record W7125462328

Vsebnost rutina v ajdi (Fagopyrum esculentum Moench, F. tataricum (L.) Gaertn. in F. cymosum Meissn.) pridelani na Daljnem vzhodu Rusije

2020· article· en· W7125462328 on OpenAlexaboutno aff
Alexey G. Klykov, Elena Chaikina, Michail Anisimov, S. А. Borovaya, Elena Barsukova

Bibliographic record

VenueDiRROS repository (University of Maribor) · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed and Plant Biochemistry
Canadian institutionsnot available
Fundersnot available
KeywordsRutinFagopyrum tataricumFagopyrumHullRaw materialYield (engineering)
DOInot available

Abstract

fetched live from OpenAlex

The paper presents results of the complex research of different species of Fagopyrum (F. esculentum Moench, F. tataricum (L.) Gaertn., F. cymosum Meissn.) on rutin content and their usage prospects as a resource of flavonoids. Relation between rutin content in the overground mass and the plant colour was found. Biological significance of rutin, prospects of its usage as a diagnostic trait in selection, are also shown in the article. Bio-chemical and technological traits of F. esculentum varieties cultivated in the Far East Russia were also studied and reflected in the paper. We therefore examined rutin content in the overground phytomass of the three species of Fagopyrum on the phase of mass flowering and discovered that high indices belong to: F. esculentum (Izumrud variety) ‒ 3.8 %, F. tataricum (sample k-62 from Canada) ‒ 4.4 % and F. cymosum (k-4231 from India) ‒ 4.1 %. Rutin content in the hull of common buckwheat ranged from 0.08 till 0.20 %. Maximum rutin quantity was determined in the hull of Ussurochka (35.7 kg/ha), and minimum (17.8 kg/ha) in the hull of Pri 7. The studies show that the ash content, obtained after burning the hull of F. esculentum (600°C) is in average 2 %. The following elements were found in the ash: potassium, sodium, copper, silver, calcium, magnesium, zinc, aluminum, manganese, iron, nickel, chromium, phosphorus, and their concentration depend on variety and type of raw material of F. esculentum.

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 score0.764
Threshold uncertainty score0.639

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.010
GPT teacher head0.146
Teacher spread0.135 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

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