AFLP identification of Berberis thunbergii cultivars, inter-specific hybrids, and their parental species
Bibliographic record
Abstract
Cultivars of Berberis thunbergii DC. are among the most popular garden shrubs in the United States. Using 174 amplified fragment length polymorphism (AFLP) markers we were able to differentiate between 43 B. thunbergii cultivars and analyse the genetic similarity of 62 B. thunbergii genotypes, B. julianae, B. koreana, B. vulgaris and B. vulgaris ‘Atropurpurea’. Seven different accessions of B. thunbergii ‘Crimson Pygmy ’ from a variety of sources had identical AFLP profiles, indicating that there is only one genotype in cultivation and not a collection of similar genotypes. B. thunbergii cultivars ‘Crimson Pygmy’, ‘Crimson Dwarf’, and ‘Monomb ’ Cherry Bomb ™ could not be distinguished and appeared to be the same genotype. The B. thunbergii cultivars ‘Concorde ’ and ‘Criruzam ’ Crimson Ruby ™ are most likely genotypes of B. ottawensis since they formed a cluster with known B. ottawensis cultivars. The B. thunbergii var. atropurpurea accessions analysed had Jaccard’s coefficients ranging from 0.89 – 0.99 and, therefore, were probably derived from highly inbred seed. A dichotomous identification key was developed for 42 B. thunbergii cultivars and hybrids and B. vulgaris ‘Atropurpurea ’ using 23 markers.This key can be used to ensure that only legal cultivars are sold, if cultivar-specific bans are enacted, and to prevent the importation of rust-susceptible cultivars into Canada. Ornamental cultivars of Japanese barberry (Berberisthunbergii DC.) are among the most popular garden shrubs in the United States due to their hardiness, ease of
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".