Genetic Diversity of the Canadian Dry Bean Varieties Released Since 1930: A Pedigree Analysis
Bibliographic record
Abstract
ABSTRACT A pedigree database of bean ( Phaseolus vulgaris L.) varieties of different market classes released in Canada since 1930 was developed. The coefficient of parentage was estimated for all pair‐wise combinations of varieties, parental and (or) ancestral genotypes. A cluster analysis was employed to study the genetic diversity of dry bean in the Canadian gene pool. The pedigree‐based estimate of genetic diversity (1 − coefficient of parentage) for all dry bean varieties released between 1930 and 2010 was 0.93. This value was smaller for varieties within each evolutionary race, estimated at 0.89 for the varieties of race Durango (pinto, Great Northern, and small red beans), 0.83 for varieties of race Mesoamerica (navy and black), and 0.76 for varieties of race Nueva Granada (kidney and cranberry beans). The results indicated a narrow genetic diversity among the Canadian beans of Andean origin (kidney and cranberry beans), suggesting that the breeding efforts for these market classes would benefit from the introduction of new genetic diversity. Among the small‐seeded beans of race Mesoamerica, varieties ‘Ex‐Rico 23’ (s yn . ICA Bunsi) and ‘Seafarer’, the medium‐sized beans of race Durango varieties ‘UI‐111’ and ‘NW‐63’, and the large‐seeded beans of race Nueva Granada varieties, ‘Montcalm’ and ‘California Dark Red Kidney’, were identified as the major progenitors of Canadian dry beans.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".