Spatial distribution of genetic diversity in populations of Hagenia abyssinica (Bruce) J.F. Gmel from Ethiopia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Genetic variation among 596 individuals from 22 natural and 3 planted populations of Hagenia abyssinica (Rosaceae) sampled from the montane forests of Ethiopia was investigated at amplified fragment length polymorphism (AFLP) loci. We observed 106 unequivocally scorable AFLP markers out of which 91.5 percent were polymorphic. Populations harbored varying genetic diversities (He = 0.139-0.362), and showed low but significant genetic differentiation among them (FST = 0.077). Significant differentiation was observed even though previous paleoecological studies indicated that Hagenia abyssinica recolonized Ethiopia only after the Last Glacial Maximum, and our earlier analyses of maternally inherited chloroplast DNA revealed low mixing of recolonizing lineages through seeds and rare long distance seed dispersal. Genetic diversity did not decrease along recolonization routes, confirming effective gene flow, most likely through pollen, among populations. The observed variation at putatively neutral AFLPs does not reflect clinal variation patterns. As expected, population differentiation is lower at anonymous, mostly biparentally inherited, AFLPs than at maternally inherited chloroplast haplotypes. Despite presumably efficient seed and pollen dispersal of H. abyssinica by wind, a significant non-random fine-scale spatial genetic structure was observed up to 80 m in some populations. Due to significant pair-wise differentiation observed between populations, as many populations as possible should be considered for conservation, tree improvement and forestation programs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| 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 it