Strategies to propagate <i>Vaccinium</i> nuclear stocks for the Canadian berry industry
Bibliographic record
Abstract
Vacinium fruits are genetically heterozygous species characterized as “not coming true from seed”. Conventional methods for vegetative propagation of these species, although successful, are slow and labour-intensive, and few propagules can be produced from one plant of a selected clone or hybrid. Micropropagation techniques are important for clonal multiplication, germplasm im provement and gene conservation of Vaccinium fruits cultivated in Canada including blueberries, cranberries and lingonberries. In vitro propagation of these species using axillary bud proliferation and adventitious shoot regeneration has been investigated in a number of studies. Morphogenesis seems to be highly dependent on plant growth regulators and media used for culture, and this dependence is genotype specific. The paper presents the progress in-depth of various aspects of the in vitro culture of Canadian Vaccinium species for their commercial production. Also discussed are techniques for clone rejuvenation and plant tissue culture for mass propagation of Canadian Vaccinium nuclear stocks. Key words: Blueberry, cranberry, lingonberry, micropropagation, regeneration, morphology
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".