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Record W2392584561

A Comparative Study of Seed Protein Content and Seed Flavonoid Content between Diploid and Tetraploid Tartary Buckwheat

2013· article· en· W2392584561 on OpenAlexvenueno aff
Qingfu Chen

Bibliographic record

VenueSeed · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed and Plant Biochemistry
Canadian institutionsnot available
Fundersnot available
KeywordsFlavonoidPloidyKjeldahl methodBotanyFood scienceBiologyChemistryHorticultureBiochemistryNitrogen
DOInot available

Abstract

fetched live from OpenAlex

The seed protein content and seed flavonoid content between 9 diploid tartary buckwheat accessions and their tetraploid lines were studied comparatively by means of kjeldahl determination and spectrophotometry.The results showed that tetraploid tartary buckwheat had the average protein content of 17.21% with the range of 15.1%-19.4%,significantly higher than their diploid parents 13.97% with the range of 12.9%-15.9%.Meanwhile,the tetraploid tartary buckwheat had the average flavonoid content of 3.64% with the range of 3.12%-4.57%,also significantly higher than their diploid parents(2.77%) with the range of 2.42%-2.98%.The correlation analysis showed that there was no siginificant relationship of flavonoid content and protein content between diploid and tetraploid tartary buckwheat.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.063
GPT teacher head0.224
Teacher spread0.161 · 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 source (direct Gemma or distilled Codex), 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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