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Record W2288919357

Recent progress in somatic embryogenesis of four Pinus spp.

2007· preprint· en· W2288919357 on OpenAlexaff
Krystyna Klimaszewska, Jean‐François Trontin, Michael R. Becwar, Christine Devillard, Yill-Sung Park, Marie‐Anne Lelu‐Walter

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2007
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant tissue culture and regeneration
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsSomatic embryogenesisPinus <genus>BiologySomatic cellEmbryogenesisEvolutionary biologyBotanyEmbryoCell biologyGenetics
DOInot available

Abstract

fetched live from OpenAlex

Advances in conifer biotechnology offer new opportunities in the field of vegetative propagation and genetic engineering. Development of clonal propagation methods, especially somatic embryogenesis (SE), has numerous potential applications. Owing to its efficiency in plant regeneration, coupled with the ease of long-term storage in liquid nitrogen, SE became an indispensable tool for accelerating the development of tree varieties and deployment. Early SE protocols were developed for Picea species, however, when applied to Pinus species, especially at the somatic embryo maturation stage, they were unsuccessful. It became apparent that pines required more research and development to bring the SE biotechnology to its potential. This review emphasizes the most recent progress made in SE and cryopreservation in the genus Pinus, focusing on major plantation and forest species in Europe (Pinus pinaster), New Zealand, Australia, and South America (P. radiata), as well as North America (P. taeda and P. strobus). Much consideration is also given to applying SE in pine improvement and deployment strategies in multivarietal forestry.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.017
GPT teacher head0.244
Teacher spread0.227 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations87
Published2007
Admission routes1
Has abstractyes

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