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Record W3139219085 · doi:10.5376/mpb.2021.12.0003

Construction of Plant Regeneration System of <i>Glycyrrhiza mongolicum</i> and <i>Glycyrrhiza</i> Xinjiang

2021· article· en· W3139219085 on OpenAlexvenueno aff
Xinxin Gao, Yu Tian, Guoliang Chen, J. L. Wu, Zhenqing Bai

Bibliographic record

VenueMolecular Plant Breeding · 2021
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacological Effects of Natural Compounds
Canadian institutionsnot available
FundersDivision of Graduate Education
KeywordsCallusExplant cultureHypocotylGlycyrrhiza uralensisBiologyRegeneration (biology)GlycyrrhizaBotanyTissue cultureHorticultureIn vitroCell biologyBiochemistry

Abstract

fetched live from OpenAlex

In order to establish the plant regeneration system of  Glycyrrhiza mongolicum  and  Glycyrrhiza  Xinjiang, this study used hypocotyls, leaves, cotyledons and stems to inducing callus and regenerated plant, and it screen out the most suitable explants and the best medium for plant regeneration. The experimental results showed that MS+2.0 mg/L NAA+2.0 mg/L 6-BA was the best medium for callus induction and plant regeneration. Among these, hypocotyls and cotyledons are the best explants for callus induction. The tissue induction rate is higher than 90%. The rapid propagation system established in this study can provide the theoretical reference and practical guidance for the breeding and production of fine  Glycyrrhiza uralensis  Fisch. varieties.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.039
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.038
GPT teacher head0.309
Teacher spread0.271 · 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.

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

Citations1
Published2021
Admission routes1
Has abstractyes

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