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Record W2907501032 · doi:10.30835/2413-7510.2014.42040

Формування бази родоводів сортів сої в нцгрру та її практичне значення

2014· article· en· W2907501032 on OpenAlexaboutno aff
Л. Н. Кобизєва

Bibliographic record

VenuePlant Breeding and Seed Production · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Biological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSubgenusDatabaseOnline databaseGeographyBiologyBotanyComputer scienceGenus

Abstract

fetched live from OpenAlex

Purpose. The results of the formation of genealogy database of soybean varieties included in the core collection of pulses of the National Center of Plant Genetic Resources of Ukraine (NCPGRU) are presented in the article. Materials and Methods. Effective preservation of soybean varieties is formed and provided in NCPGRU; the core soybean collection comprises 2,685 samples (as of 01.01.2014) of two subgenera: the subgenus Glycine represented by nine perennial species originating from the Australian Centre and the subgenus Soja (Moench) F. J. Herm. Represented by two annual species from the Chinese Center, these are the cultigen G. max. (L.) Merr. and the wild Ussuri soybean G . Soja et Zuce. The gathered collection material is studied and systematized under field and laboratory conditions. Results and Discussions. Information about the parentage of source material involved in the breeding process, when new competitive varieties were being created, is of great importance for the selection of source material for further work. In most cases, the access to this information is limited. In the Laboratory of Genetic Resources of pulses and Cereals exploratory work has been conducted. As a result of this work a parentage database for 333 soybean varieties was created. The database is constantly updated. The database was formed in the licensed software Microsoft Office Excel. The parentage database fields display the information about the numbers of National Catalogue and Registration of Ukraine, sample name, country of origin, parentage, method of creation, and source of information. The analysis of the parentage of early ripening soybean varieties of the Ukrainian and Russian breeding showed the early ripening, resistant to drought and diseases variety South-30 in the genealogies analyzed. The current soybean varieties of the Canadian origin were created with the involvement of a late-ripening parental form in crossing. Conclusions. Information about the parentage of soybean varieties is of great scientific and practical significance; it is determined how close the primary forms are by origin, and what features the chosen primary forms carry in their genotypes. Possessing information about the parentage of current and old soybean varieties, in the design of their work on the creation of new competitive varieties breeders can optimize and focused it on solving urgent problems.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score0.512

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.023
GPT teacher head0.173
Teacher spread0.150 · 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.

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

Citations1
Published2014
Admission routes1
Has abstractyes

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