Research results of Jerusalem artichoke varieties and hybrids in the forest-steppe of the Omsk region
Bibliographic record
Abstract
Abstract The article presents the five-year results of the studying the adaptation of varieties, and hybrids of Jerusalem artichoke in the forest-steppe of the Omsk region. The analysis of biometric indicators and crop yield structure is presented. The dynamics of the accumulation of herbage, as well as the periods of the passage of phenological phases are shown. The chemical composition of plants is determined. The studies show that many hybrids and varieties in Western Siberia do not go through the flowering phase, but at the same time form a full-fledged tuber crop. At the same time, the high yield of the aerial mass of Jerusalem artichoke does not always ensure a high yield of tubers. On average, for five years of research, the French D-5 hybrid, Canadian sample and variety samples’ No. 1 and No. 9 we distinguished in terms of herbage productivity. This indicator was 49.4-58.9 t / ha. In terms of tuber productivity, the best varieties were No. 9 and No. 12, as well as the Sireniki-1 variety (29.1-30.2 t / ha). The distinguished varieties and hybrids of Jerusalem artichoke are recommended for the introduction into production in order to improve the forage base of agricultural enterprises. The research on the selection of varieties and hybrids in order to obtain high-tech tubers (large and aligned) for processing in the food industry will be continued.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.007 |
| 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".