THE CHARACTERISTIC OF HULLED BARLEY VARIETIES ON ECONOMIC-VALUABLE TRAITS
Bibliographic record
Abstract
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.
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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 | 0.000 | 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".