SELECTION OF LEEK FOR THE MIDLAND OF RUSSIA AT CULTIVATION NO SEEDLING METHOD
Bibliographic record
Abstract
Leek very ancient culture which was widely applied in cookery and as remedy still by ancient Egyptians, Greeks and Romans. Now the leek is widespread in countries of Western Europe and North Africa, in the USA, Canada, Australia. On chemical composition it is one of the most valuable onions representing in fact "the alive table of Mendeleyev". In such countries as Belgium, Holland and France it is one of the main vegetable cultures, and annual production it per capita makes from 4 to 10 kg. In Russia, unfortunately, it is still rare culture though falls into to the most valuable types of an onion on biochemical structure, productivity, resistance to wreckers and diseases. Widespread introduction of a leek in production restrains a number of factors among which lack of early ripening varieties with the increased resistance to extreme environmental conditions, and in this regard – difficulty of receiving high-quality seeds of leek in a midland of Russia to the north of Rostov-on-Don. Therefore, a vital necessity is on the basis of study under various conditions of cooperation a "genotype is an environment" and selection from world collection of sources of economic-valuable signs, creation of productive sorts and hybrids with good resistance to cold, possessing in the conditions of Moscow Suburbs, along with the high productivity and quality of products, by a high adaptivity to the different terms of height winter spending. Results of long-term researches of laboratory of selection of onions cultures (VNIISSOK) on studying, assessment and selection of exemplars of grades of leek from the VIR world collection are presented in article, receiving hybrid combinations and lines, development of methods of selection and creation on this basis of grades and hybrids of leek for not seedling culture in a midland of Russia, possessing high rates of vegetable and seed efficiency, quality of production and winter hardiness.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".