Russian and Foreign Cultivars of Honeysuckle (Lonicera edulis Turcz.): cultivation studies in vitro
Bibliographic record
Abstract
Introduction. The demand for honeysuckle berries and planting material is growing. Clonal micropropagation is the most effective method for industrial plantations. The research objective was to study the effect of cytokinins and auxins on Russian and Canadian honeysuckle microshoots and roots. Study objects and methods. The study featured regenerated honeysuckle (Lonicera edulis Turcz.) of three Russian cultivars (Bakcharsky Velikan, Doch Velikana, Yugana) and two Canadian cultivars (Boreal Beauty, Boreal Beast). The experiment focused on the effect of sterilizing agents and sterilization time on the viability of honeysuckle explants at the stage of culture introduction in vitro. The effect of the growth regulator Cytodef in the QL nutrient medium on organogenesis was studied at the stage of micropropagation proper, the effect of auxin IBA on plant root formation – at the stage of rooting in vitro. Results and discussion. The greatest viability of honeysuckle explants (80–94%) was registered in the samples affected by Lizoformin 3000 (5%) and silver nitrate (0.2%) as sterilizing agents with a sterilization time of 10 min at the stage of in vitro culture introduction. The biggest quantity (8.8 pcs.) and total length (40.1 cm) of microshoots were observed when the content of cytokinin Cytodef in the culture medium QL was 0.3 mg/L at the stage micropropagation proper. The Boreal Beast cultivar had the largest total length of shoots (29.0 cm). The biggest quantity (5.5 pcs.) and total length (30.8 cm) of roots resulted from 0.5 mg/L of auxin IBA at the stage of rooting in vitro. Coconut substrate produced the highest survival rate (92–99%) at the stage of adaptation to non-sterile conditions in vivo, with the greatest number of leaves (8.1–10.2 pcs.) observed in Canadian cultivars. Conclusion. Cytodef and IBA proved to be effective growth-regulating substances for microplants of Russian and Canadian honeysuckle cultivars in vitro, which makes them promising for berry plantations.
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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 | 0.000 | 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) | 0.001 | 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 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".