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Record W4405884170 · doi:10.5376/mpr.2024.14.0023

Efficient Cultivation Techniques of <i>Corydalis yanhusuo</i> and Strategies to Enhance Alkaloid Content

2024· article· en· W4405884170 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMedicinal Plant Research · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGABA and Rice Research
Canadian institutionsnot available
Fundersnot available
KeywordsCorydalisAlkaloidTraditional medicineChemistryMedicineStereochemistry

Abstract

fetched live from OpenAlex

Corydalis yanhusuo, known as an important medicinal plant, has its tubers widely used in traditional Chinese medicine for their analgesic and anti-inflammatory properties.This study explores the cultivation techniques of Corydalis yanhusuo and strategies to enhance the alkaloid content, its main active component, including soil improvement, environmental control, planting density optimization, and pest and disease management.The study also analyzes the identification of alkaloid biosynthesis genes and their expression patterns during tuber development.The results show that optimizing soil conditions and environmental management can significantly increase tuber yield and alkaloid content.Rational pest and disease control measures, along with biotechnological approaches, hold great potential for enhancing the medicinal components of Corydalis yanhusuo.This study provides a reference for efficient cultivation and enhancement of medicinal value in Corydalis yanhusuo, and offers insights for the cultivation of other medicinal plants.

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.

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)0.003
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 score0.308
Threshold uncertainty score0.284

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 science0.0000.000
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 head0.067
GPT teacher head0.350
Teacher spread0.282 · 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