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The study results of the world collection of hullless barley according to grain quality in the south of the Rostov region

2020· article· en· W3113549703 on OpenAlex
Э. С. Дорошенко, Е. Г. Филиппов, А. А. Донцова, Д. П. Донцов

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 · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsSowingAgronomyStarchHordeum vulgareCropBiologyMathematicsHorticulturePoaceaeFood science

Abstract

fetched live from OpenAlex

The current paper has presented the study results of the collection varieties of hull-less spring barley according to grain quality indices (protein, starch, lysine and ß-glucan). The initial material for the for the varieties' study in the conditions of the south of the Rostov region were than 100 varieties and lines of hull-less barley developed in the Federal State Budgetary Scientific Institution “FRC All-Russian Institute of Plant Genetic Resources named after N. I. Vavilov”. The study was carried out in the crop rotation of the department of barley breeding and seed production of the FSBSI “Agricultural Research Center “Donskoy” in 2016-2018. The purpose of the study was to scrutinize quality indices of the hull-less barley varieties. The trials were carried out according to the Methodology of the State Variety Testing. The accounting area of the plot was 10 m 2 , the seeding rate was 450 germinating grains per 1 m 2 , the standard variety ‘Ratnik’ was sown in 20 numbers with single sequence. The sowing was carried out with the seeder Wintershteiger Plotseed S; the harvesting was conducted with the combine Wintershteiger-Classik. The qualitative indices were determined according to generally accepted GOST standards. During the study under contrasting weather conditions, there have been identified the samples with increased indices of protein, lysine, starch and ß-glucan. In 2016 the variety ‘Golozerny’ (RF) was characterized by a high content of lysine and ß-glucan. In 2018 the samples ‘K-3800’ (Ukraine) and ‘Nigohodaka’ (Japan) combined a high content of several indices. Throughout three years of study, according to seed protein percentage, there has been identified the sample ‘Nigohadaka’ (Japan), which showed consistently high values of this trait. According to starch content there has been identified the sample ‘CDC Dawn’ (Canada). During the years of study, it was possible to trace that there were the advantages of hull-less samples according to quality indices over the unhulled standard variety. There could be made the conclusion that hull-less barley can be used in hybridization to improve quality.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score0.330

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.043
GPT teacher head0.242
Teacher spread0.199 · 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