Inbreeding depression in a rare deceptive orchid
Bibliographic record
Abstract
We quantified inbreeding depression for seed maturation and germination in a deceptively pollinated orchid (Dactylorhiza praetermissa (Druce) Soó). Deceptive species do not provide any reward to their pollinators, which thus visit few flowers per plant. Therefore, deceptive species are predicted to experience high outcrossing. In agreement with the prediction that species with high outcrossing rate should possess a heavy genetic load, we demonstrated inbreeding depression in one of the populations we studied. More surprisingly, we found some evidence of inbreeding depression at a small geographic scale. This was not expected, as deceptive orchids generally disperse their pollen and their seeds over long distances. We also demonstrated that the position of a flower within an inflorescence interacts with the type of cross. This indicates that resource availability might modify how severely deleterious mutations affect reproductive success. This could also explain why the intensity of inbreeding depression seems, in the populations we studied, to be determined more by environmental factors than by inbreeding level, as estimated from molecular markers. Inferences in terms of conservation biology are drawn from these results.Key words: inbreeding depression, deceptive pollination, orchid, Dactylorhiza praetermissa.
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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".