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Estimation of the initial material of spring barley in the Rostov region

2022· article· en· W4214492788 on OpenAlex
Е. Г. Филиппов, А. А. Донцова, Д. П. Донцов, Э. С. Дорошенко, I. М. Zasypkina, R. N. Bragin

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 · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsSunflowerGeographyEuropean unionAgronomyBiologyAgricultural science

Abstract

fetched live from OpenAlex

The current paper has presented the study results of the collection samples of spring barley. The purpose of the study was a comprehensive research of the collection of spring barley varieties and lines of various ecological and geographical origin in order to identify the most valuable economic and biological forms for targeted use in breeding programs of the department of barley breeding and seed production in the Federal State Budgetary Scientific Institution Agricultural Research Center “Donskoy”. The study was carried out on the experimental plots of the FSBSI “ARC “Donskoy” in 2017–2019. The objects of the study were 85 spring barley samples. The collection seed-plot was formed from the best varieties of breeding institutions in various regions, most of which were the varieties of domestic breeding (FSBSI FRC All-Russian Institute of genetic resources of plants named after N.I. Vavilov, FSBSI “ARC “Donskoy, FSBSI “National Center of grain named after P.P. Lukyanenko”, FSBSI North-Caucasus FSAC, etc.), as well as the varieties of the European Union (England, Germany, France, Czech Republic, Denmark, Latvia), Canada, Belarus, Ukraine. The sowings were carried out in a row method with a row spacing of 15 cm with the Wintersteiger Plotseed seeder; the plots were seven-row, with an area of 10 m 2 . The seeding rate was 450 germinated seeds per 1 m² without repetitions. The standard variety ‘Ratnik’ was sown every 20 numbers in the seed-plot. The forecrop was sunflower. There were made phenological observations, estimated varieties’ resistance to lodging and diseases, assessed productivity and conducted structural analysis of plants in points according to the estimation system of the main economically valuable traits given in the Methodological recommendations for studying the world barley and oats collection (2012). As a result, there were identified the following varieties with a complex of economically valuable traits, as ‘Kazer’, ‘Azov’, ‘Tan 1’, ‘Divny’, ‘Chelyabinsky 99’, ‘Khadzhibey’, ‘Raushan’, ‘Agat’, ‘Suzdalets’, ‘Bagrets’, ‘Rus’, ‘Elf’, ‘Rakhat’ (Russia); ‘Nord 071111’, ‘Obolon’, ‘Odessa 22’, ‘Donetsk 14’, ‘Donetsk 15’ (Ukraine); ‘Perun’, ‘Prestige’ (Czech Republic); ‘Viking’, ‘Philadelphie’ (Germany). The identified varieties are going to be used in further breeding programs of the FSBSI “ARC “Donskoy”.

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 score0.862
Threshold uncertainty score0.097

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 head0.019
GPT teacher head0.203
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