THEORETICAL AND PRACTICAL JUSTIFICATION OF ROOTSTOCK SELECTION IN VEGETATIVE REPRODUCTION OF INTRODUCED SPECIES OF THE GENUS SYRINGA L. (OLEACEAE) IN THE CONDITIONS OF THE ORENBURG REGION
Bibliographic record
Abstract
The proper selection of rootstock and graft combinations in lilac introducers, in order to take full advantage of grafting, requires a thorough understanding of the synergy of cultivar-rootstock combinations, as well as the identification of factors that may influence this process. The article analyzes the results of three grafting experiments using Syringa vulgaris L. and Syringa josikaea J. Jacq. ex Rchb. seedlings and vegetative rootstocks (rooted shoots) of Syringa vulgaris L. as rootstocks. The grafting material was the dormant buds of four highly ornamental cultivars of S. vulgaris L. – ‘Au- cubaefolia’, ‘Sensation’, ‘Marc Micheli’, ‘Congo’ and the late hybrid Syringa × prestoniae МсКelveу ‘Miss Canada’. It was found that the survival rate of cultivars on a particular rootstock may depend on the systematic affiliation of the mother plants of the cultivars. The best survival rate among all studied cultivars in the climatic conditions of the Orenburg region is achieved when using rooted vegetative shoots of S. vulgaris as a rootstock (over 90%), the worst – on the seed rootstock of S. josikea J. Jacq. ex Rchb. (up to 40%). The influence of the ambient temperature and humidity at the time of oculant fusion on the survival rate of grafts using S. vulgaris L. vegetative rootstock has been demonstrated (Wilcoxon T-test, statistical significance level p <<0.05). It is recommended to select the rootstock individually for each cultivar in order to achieve maximum survival rates of lilac cultivars in the climatic and geographical conditions of the Orenburg region and/or regions with similar conditions.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".