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Record W3033234703 · doi:10.36814/pgr.2019.24.01

Plant introduction as a priority direction of scientific and practical activity of the National Centre for Plant Genetic Resources of Ukraine

2019· article· en· W3033234703 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueGenetičnì resursi roslin · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Biological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyChinaThreatened speciesSteppeGenetic resourcesAgroforestryEnvironmental protectionBiologyEcologyBiotechnologyArchaeologyHabitat

Abstract

fetched live from OpenAlex

The aim of the article is to summarize the results of plant gene pool samples introduction into the National Plant Genebank from different countries and ecological and geographical zones for use in domestic breeding. Results and Discussion. In 2016 – 2018, 5984 samples were introduced to the Centre for Plant Genetic Resources of Ukraine using various information sources, including 2093 samples from Ukraine and 3891 from foreign countries. The greatest samples variety was attracted by cereals, leguminous, fodder, medicinal and essential oil, vegetable and melon crops, corn. Seeds of new forms having valuable properties are attached from research and breeding institutions of Ukraine. The samples of foreign origin were most actively introduced through cooperation with research institutions of Russia, Belarus, and Moldova. A significant number of samples came from genebanks in Europe: the Czech Republic, Italy, France, Germany, the Netherlands; Asia: Kazakhstan Turkey, Israel, China as well as from South (Mexico) and North America - USA, Canada. The ways of pre-adaptation and adaptation of samples from geographically remote regions for use in Ukraine are indicated. To collect local cultural and wild-growing samples of different crops, collecting missions were carried out in the central and southern regions of the forest-steppe and northeastern regions of Ukraine during which 1641 gene pool samples were collected. For the Red Book species of plants and species that are not listed in the Red Book of Ukraine but are rare or are threatened with extinction under natural conditions, a points have been identified for possible arrangement of in situ conservation reserves. A number of objects with a rich genetic diversity of fodder and medicinal plants have been identified, on which it is necessary to monitor coenoses and ensure in situ conservation. The introduced samples were transferred for use in research and breeding programs in Ukraine. Conclusions. The definition of a model of ecologically adapted in Ukraine genotypes of different crops that are carriers of valuable traits from countries with similar climatic conditions as well as from geographically remote regions, has made it possible to increase the efficiency of introduction and to more specifically search and attract to the National Genebank the plant samples with the necessary manifestation levels of economic and biological traits.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.828
Threshold uncertainty score0.114

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 studies0.0000.000
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 head0.021
GPT teacher head0.233
Teacher spread0.213 · 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