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Record W2908032941 · doi:10.30835/2413-7510.2013.41992

Здатність вихідного матеріалу до утворення перспективних ліній і сортів ячменю ярого

2013· article· en· W2908032941 on OpenAlexaboutno aff
Н. І. Васько, О. Є. Важеніна, М. Р. Козаченко, О. Г. Наумов, П. М. Солонечний, Г. С. Шевченко

Bibliographic record

VenuePlant Breeding and Seed Production · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Biological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianCzechGeography

Abstract

fetched live from OpenAlex

Achievements of the Plant Production Institute nd. a V.Ya. Yuryev of NAAS in breeding of spring barley over the 15-year period have been analyzed. Aim. Determination of efficiency of usage of the source material from the base work collection for the creation of promising lines and new varieties of spring barley. This allows optimizing the base collection composition, number of crossings and increasing performance of selection of promising lines for competitive variety trials. Ultimately, this will result in acceleration of breeding process. Material and Methods. The experiments are arranged akin to a competitive variety trial nursery. For the study years the work collection has comprised 141 samples of Ukrainian (63 samples) and foreign (78 samples - Mexico, Germany, France, Russian Federation, Czech Republic, Holland, Sweden, Kazakhstan, USA, Canada, Denmark, Belarus, Lithuania, Romania, Slovakia, Norway) breeding. The analysis of crossings over the period of 1998-2006, due to which promising lines were created and went as far as competitive variety trials for the last 10 years – 2004-2013, is summarized in this work. Results and Discussion. Selections did not respond favorably in all the hybrid populations; in some of them no line was selected. The most successful as parental forms were only 34 of 141 samples, among them 20 samples were of Ukrainian breeding and 14 – of foreign breeding (France, Germany, Mexico, Czech Republic, Kazakhstan). The number of crossings of each sample as the paternal and maternal forms as well as complex crossings, the number of lines selected for competitive variety trials, the number of lines consigned to competitive variety trials, and the number of lines consigned to the state variety trials were taken into account. By correlating the number of promising lines with the number of varieties obtained with the involvement of a given sample from the work collection the efficiency of this sample in formation of breeding material with desirable properties was estimated. Conclusions. The most efficient by the property studied was the variety Zvershennya (18% of varieties from the promising lines), followed by Kharkіvskyy 99, Dobrodіy (15%), Pasadena, Tolar (14%), Kharkіvskyy 112, Granal (13%), Gama, Ekzotik (12%), Spomin, IR 7099 (11%), Tsezar (6%), Efekt, Dzherelo (4%), Badyoryy (3%).

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 score0.854
Threshold uncertainty score0.486

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 head0.025
GPT teacher head0.170
Teacher spread0.145 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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