Bibliographic record
Abstract
The article provides data on the study of varieties in a collection nursery in the conditions of Central Yakutia. For the period 2015-2017 in collection nurseries 292 specimens of various origins were studied. The predecessor is steam. Sowing was carried out at the optimal time for the culture on May 22-26. The “Tammi” variety, zoned in the republic, was used as a standard. The variety is ultra-early ripening, the growing season is from 58-66 days. The mass of 1000 grains is 32-37 g. Average yield in favorable years is up to 20-25 c/ha. Drought resistance is average. The standard was plated every 30 samples. The evaluation of the studied samples in the field was carried out according to such characteristics as the duration of the growing season, yield, resistance to lodging, productive tillering, grain content, grain productivity. The plants were harvested by hand followed by hand threshing. The duration of the growing season for all varieties over the years of research varied on average from 67 to 80 days or more. The following early ripening varieties were identified: Polar (Norway), Grosso (Netherlands), Rajsa (Sweden), Sobolek (Russia), Zolotnik (Altai region), Svyatogor (Kirov region), Stimul (Krasnodar region), Symko (Canada), Stacey (Canada), Chervonets (Irkutsk region), Beacon (USA), Tandem (Kirov region), Courier (Krasnodar region). Based on the results of the study, the best varieties were identified by yield (Tandem, Beacon, Sobolek, Svyatogor, Rajsa, Courier), by the weight of 1000 grains (Zolotnik, Sobolek, Svyatogor, Symko), by productive bushiness: Tandem (pallidum), Sobolek (ricotense), Stimulus (nutans), Courier (nutans), Svyatogor (nutans). Based on the study data, the source material was extracted and selected for further use in the hybridization of new early maturing, highly productive varieties.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".