The study results of the world collection of hullless barley according to grain quality in the south of the Rostov region
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".