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THE CHARACTERISTIC OF HULLED BARLEY VARIETIES ON ECONOMIC-VALUABLE TRAITS

2018· article· en· W2803379543 on OpenAlex
Э. С. Дорошенко, Е. Г. Филиппов

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

VenueGrain Economy of Russia · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsCropAgricultureCultivarProductivityAgronomyGeographyHordeum vulgareBiologyAgricultural sciencePoaceaeArchaeology

Abstract

fetched live from OpenAlex

The characteristic of hulled barley varieties on economic-valuable traits Barley is a universal agricultural grain crop, both in the distribution area and in diversified use. In recent years, the varieties of hulled barley together with the conventional unhulled varieties were introduced into the State List of Breeding Achievements of the Russian Federation. Grain of such varieties is more nutritious, as it contains larger amount of protein, vitamins, amino acids, etc. As there are no varieties of hulled barley in the State List of Breeding Achievements of RF on the Rostov region, the purpose to select varieties adapted to soil-climatic conditions of the North-Caucasus region is becoming more and more important [1]. The article presents the study results of more than 100 collection variety samples of spring hulled barley. The experiments were carried out on the fields of the department of barley breeding and seed-growing of the FSBSI “Agricultural Research Center “Donskoy” in 2014-2016. The lines and varieties “К-3426” (Japan), “К-3754” (Japan), “К-19109” (India), “К-26598” (Ethiopia), “E.E.A.N.46” (Bolivia), “Golozerny” (RF), “Golozerny 1” (RF), “Korona Laschego” (Poland), “Brunee” (Ethiopia) have been selected as the sources of fast ripening. The lines and varieties “К-266” (Pakistan), “К-26648” (Pakistan), “Nigohadaka” (Japan), “К-16535” (RF), “84469/70” (Czech Republic), “1218-524” (Czech Republic), “Buck CDC” (Canada) have been selected as the sources of large number of kernels per head. The lines and varieties “Dai-Mai” (Turkmenistan), “Аkkа” (Israel), “К-19103” (India), “К-3115” (Tajikistan), “К-3118” (Tajikistan) have been selected as the sources of productivity. The lines and varieties “Brunee” (Ethiopia), “S-264” (Mexico), “К-266” (Pakistan), “Omsky golozerny 1” (RF), “Yudinsky 1” (RF), “Аkkа” (Israel), “К-1328” (Turkey), “Kitaki-nadaka” (Japan), “К-3426” (Japan), “Komehadaka” (Japan) have been selected as the sources with high indexes of protein, lysine and starch. The following varieties “Brunee” (Ethiopia), “S-264” (Mexico), “К-266” (Pakistan), “Omsky golozerny 1” (RF), “Yudinsky 1” (RF), “Nigohadaka” (Japan), “Komehadaka” (Japan) have been selected due to a complex of the traits. All these varieties and lines have been recommended and are being used in the breeding programs while developing a new selection material of hulled barley, adapted to the increasing aridity of climate.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.524
Threshold uncertainty score0.519

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 head0.011
GPT teacher head0.195
Teacher spread0.184 · 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