Inter-simple sequence repeat (ISSR)-PCR analysis to assess genetic diversity in a collection of wild cloudberry (<i>Rubus chamaemorus</i>L.) clones
Bibliographic record
Abstract
SummaryForty-eight wild cloudberry (Rubus chamaemorus L.) clones, collected from four Canadian Provinces, were assessed for genetic variability using inter-simple sequence repeat (ISSR)-PCR methods. Nine primers generated 138 polymorphic ISSR bands. A substantial degree of genetic diversity was found among the wild collection. Cluster analysis by the unweighted pair-group method with arithmetic averages (UPGMA) separated the 48 wild clones into six main clusters, and identified the one remaining clone as an outlier. Furthermore, within four of the clusters, the clones tended to form sub-clusters that were in agreement with a principal coordinate (PCO) analysis. Geographical distribution explained 8% of the total variation revealed by analysis of molecular variance (AMOVA). The ISSR markers detected a sufficient degree of polymorphism to differentiate among cloudberry clones, making this technology valuable for germplasm management, and more efficient choices of parents in current cloudberry breeding programmes.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".