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Record W2786255749

СЕМЕНОВОДСТВО ЗЕРНОФУРАЖНЫХ КУЛЬТУР НА НАРЫМСКОЙ ГОСУДАРСТВЕННОЙ СЕЛЕКЦИОННОЙ СТАНЦИИ: ИСТОРИЧЕСКИЙ ОБЗОР

2015· article· ru· W2786255749 on OpenAlexaboutno aff
А. В. Сорокина

Bibliographic record

VenueSiberian Herald of Agricultural Science · 2015
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsAgronomySowingPlant breedingHybridBiology
DOInot available

Abstract

fetched live from OpenAlex

There are presented the historical material on original seed production of grain-fodder crops at the Narym State Breeding Station, Tomsk Region. The material was prepared according to archive documents, reports of researchers for 1938-2014. The barley seed production work started in 1938, oats in 1939. In the thirties-forties of the XX century, the key task of seed production was to produce high-yielding elite seeds of high varietal purity, good sowing qualities, free from pests and diseases, which passed systemic directional selection and training in primary seed production network. The work towards improving the productive qualities of elite seeds of oats and barley was done by means of itravarietal hybridization, strict grading of lines against a high agricultural background, and selection of the most high-producing offspring. Since 1956, seed production has changed over to the method of individual-nepotistic selection. As a result of experiments has been found that the NPK-compound application to oats produces a significant increase in productivity. With the separate application of nitrogen, phosphorus and potassium, the significant increase in yield was obtained only from nitrogen. Beginning with 1973 and up to now, seed production produce only seeds of oat varieties bred at Narym: Narymskiy 943, Taezhnik, Metis, Togurchanin, Mustang. As a result of the work done, the original high-quality stock seeds are produced annually.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.773
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.006
Science and technology studies0.0020.003
Scholarly communication0.0010.004
Open science0.0040.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.033
GPT teacher head0.234
Teacher spread0.201 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
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
Published2015
Admission routes1
Has abstractyes

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