COMPARATIVE ANALYSIS OF BARLEY SPECIES OF THE WORLD COLLECTION OF THE RESEARCH INSTITUTE OF PLANT INDUSTRY IN THE CONDITIONS OF EASTERN SIBERIA
Bibliographic record
Abstract
The current paper presents the results of a comparative evaluation of 74 samples of the world collection preserved at the Vavilov Research Institute of Plant Industry named in 2013-2016. The analyses features individual elements of productivity, yield and the variation degree (Cv, %). The samples of the six-rowed barley of Leningradskiy and Potra cultivars have been found early-ripening (vegetation period 68-69 days). The highest capacity for productive tillering (1.93-2.40 productive stems) have been registered in the cultivars of Rupal, Corona, Malva, Chelyabinets 2, Nutans 302, Belgorodets and Talovsky 9. The best graininess of the ear belongs to the following cultivars: 18/7, Tduneja, Spratt, Sv. 66905, Milns Golden Promise, Vladimir. According to the mass of 1000 grains (40.0-52.3 g), T-12 (Nutans 129), Yastreb, Belgorodets, Talovsky 9, Yak-401, Nudum 95, Codac, Vakula, Potra, Kolchan. The best grain mass from one plant (1.40-1.79 g) was registered in 18/7, Tduneja, T-12 (Nutans 129), Elf, Belgorodets, Talovsky 9, Heimdal, Nudum 95, Codac, Vakula and Kolchan. According to the productivity and resistance to lodging, the following samples proved to be stable during the research period: M 1913/88 (Czechoslovakia), Asem (Kazakhstan), Etienne (Canada). Their yield reached 555.0-575.0 g/m2, which is 8.2-12.1 % higher than that of the standard Acha cultivar. The barley samples studied in the research are of practical interest for solving regional breeding problems in Eastern Siberia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".