Patterns of amplified restriction fragment polymorphism in natural populations and corresponding seed collections of plains rough fescue (<i>Festuca hallii</i>)
Bibliographic record
Abstract
Plains rough fescue ( Festuca hallii (Vasey) Piper) is a dominant native grass species in the Fescue Prairie region of North America that has undergone dramatic range reduction in the past century. Little is known about the genetic diversity of this species. The amplified restriction fragment polymorphism (AFLP) technique was applied to assess the comparative genetic diversity of six plains rough fescue populations in Manitoba and Saskatchewan and their corresponding seed collections. Three AFLP primer pairs were employed to screen 529 samples, representing about 30 samples each of reproductive tiller, vegetative tiller, and seed collected from each population. A total of 330 polymorphic AFLP bands were scored for each sample; their occurrence frequencies ranged from 0.01 to 0.99 and averaged around 0.47. Analysis of molecular variance revealed more than 90% of the total AFLP variation resided within natural populations (reproductive and vegetative tillers) and within seed samples. Four populations sampled from protected areas appear to have relatively lower within-population variation than two unprotected populations. Only 0.2% AFLP difference was revealed among the three tissue types examined. The tiller samples revealed slightly larger among-population variation than the seed samples and captured substantial associations of AFLP variation with population geographic distances. These findings are important for germplasm sampling for ex situ conservation, are useful for germplasm development for pasture seeding, and should facilitate the management of fragmented fescue populations.
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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 | 0.000 |
| 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 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".