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Record W4416245893 · doi:10.58168/fecc2025_317-323

DEVELOPMENT OF WOOD PLANT BREEDING IN VORONEZH FROM THE XX TH TO THE EARLY XX1 ST CENTURY

2025· article· W4416245893 on OpenAlexaboutno aff
Aleksey Sivolapov, T. Blagodarova, V. Sivolapov

Bibliographic record

Venuenot available
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicBioenergy crop production and management
Canadian institutionsnot available
Fundersnot available
KeywordsBalsamSelection (genetic algorithm)Tree breedingPopulationclone (Java method)Range (aeronautics)

Abstract

fetched live from OpenAlex

The hundred-year period of development of woody plant selection in Voronezh is shown. Analyzing the directions and methods of forest selection, it is necessary to note the development of analytical and synthetic selection. A rationale is given for three types of selection in practical selection: mass selection or selection of ecotypes, group or population selection, individual selection. The study of the effectiveness of creating clonal and family seed plantations, introduced species, obtaining clone varieties, hybrid varieties and population varieties is shown. Using the cytological method, allotriploids of graying poplar, a hybrid of Canadian and balsam poplar (E.S.- 38), and triploids of pedunculate oak were identified. Induced mutants were obtained in balsam poplar, tetraploid balsam poplar. The creation of birch seed plantations from regenerants in vitro is proposed. The experience of creating plantation crops of poplar, silver birch and Karelian birch using in vitro biotechnology is analyzed.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

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 studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.022
GPT teacher head0.212
Teacher spread0.190 · 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 designQualitative
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
Published2025
Admission routes1
Has abstractyes

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