Sideral cultivar as donor of increased cold resistance in oilseed flax breeding
Bibliographic record
Abstract
Aim. To create valuable breeding material of oilseed flax with increased cold resistance via hybridization with germplasm of the Sideral variety. Results and Discussion. Cold resistance of the investigated oilseed flax genotypes was evaluated by cold seed germination on filter paper. The hybridization method and experiment design were routine in flax breeding in accordance with the recommendations. The field experiments were conducted in the experimental fields of the Institute of Oilseed Crops of the National Academy of Agrarian Sciences in 2017-2021. Crossings were carried out according to the following scheme: stable×stable, stable×moderately stable, stable×unstable, backcrossing, triple and stepwise crossings involving four and five components. Genotypes of different geographical origins were studied: French (Sideral), Ukrainian (Aisberh, A-11, B-11, Vodohrai) and Canadian (K-8085, Saskatoon). The data were statistically processed. The French variety, Sideral, with high resistance to hypothermic stress was chosen as a donor of cold resistance. It was found that simple paired crossings using a more resistant component as a parent gave a significant boost in the cold resistance of the obtained material. The most effective methods were stepwise crosses involving three to five highly resistant parents and backcrossing with a more resistant component. Twenty-eight 28 hybrid combinations have been obtained; they are currently being tested in nurseries of splitting families, where elite plants are selected by economic value. Conclusions. By using germplasm of the Sideral variety, valuable material was obtained for further genetic studies and breeding to develop oilseed flax varieties with increased resistance to hypothermic stress.
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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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".