RAPD Variations in Selected and Unselected Blue Grama Populations
Bibliographic record
Abstract
Blue grama (Bouteloua gracilis H.B.K. Lag. ex Steud.) is one of the most widespread native grasses in western North America. Little is known about the genetic diversity of this species and the genetic shift in selected populations. Random amplified polymorphic DNA (RAPD) markers were used to assess the genetic variations of blue grama plants in 11 natural source populations (SPs) in southern Manitoba and two selected populations. Population ‘BMSC’ was a balanced multisite composite of 99 clones selected for higher seed yield from the 11 SPs. Population ‘MSC’ was a mass‐selected composite of 25 clones with higher seed yield from eight SPs. Twelve RAPD primers were used to assay 108 original propagules from the 11 SPs and 96 seedlings from each selected population. A total of 69 polymorphic RAPD bands were detected. No unique RAPD bands were found for any SPs and 97.8% of the total RAPD variation was detected within SPs. Variation in RAPD markers was not associated with geographical distances. Highly significant changes in RAPD band frequency from their SPs were detected in both selected populations, but only MSC displayed the fixation of polymorphic bands. The estimated genetic shifts were small, 0.6% for BMSC and 1.9% for MSC.
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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".