Comparison of genetic diversity between Canadian adapted genotypes and exotic germplasm of soybean
Bibliographic record
Abstract
Soybean (Glycine max (L.) Merr.) was domesticated in China and the greatest genetic diversity for this species is found in Asia. In contrast, in North America, soybean cultivars trace back to a small number of plant introductions from Asia and genetic diversity is typically quite limited. The purpose of this work was to measure and compare the genetic diversity in two sets of soybean lines. The first set (termed "local") was composed of 100 lines used in a private breeding program in Quebec. The second set (termed "exotic") was composed of 200 lines from elsewhere in the world (but mostly from Asia) and included a few lines of Glycine soja, the wild progenitor of cultivated soybean. Almost all the genotypes belonged to maturity groups between 000 and II. A total of 39 microsatellites (SSRs) were used to genotype the two collections. The number of alleles per locus was almost twice as great in the exotic set compared with the local set. Also, the number of "unique" alleles, i.e., those uniquely present in one set and absent in the other, was almost fivefold greater (191 vs. 37) in a subset of 108 exotic lines with good adaptation than among the local set. A genetic distance matrix, a UPGMA cluster analysis, and a principal coordinate analysis were conducted based on the SSR data. These analyses all indicated that the exotic set was much more diverse and formed a clearly distinct group from the local set. Interestingly, some of the lines showing the best adaptation to local conditions were quite distinctive in terms of their genotype and could potentially contribute useful novel genetic variation within the breeding program.
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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 | 0.000 |
| 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) | 0.000 | 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".