Pollen transfer patterns in a distylous plant with overlapping pollen‐size distributions
Bibliographic record
Abstract
In this study we quantify the relative rates and amounts of between‐morph (legitimate) cross‐pollination, within‐morph (illegitimate) cross‐pollination and self‐pollination in a natural population of distylous Gaertnera vaginata (Rubiaceae) endemic to the oceanic island of La Réunion in the Indian Ocean. Since pollen size distributions of each morph overlap we develop a method, based on chi‐squared comparisons of observed to expected pollen size distributions, to quantify pollen transfer proficiencies. This method, unlike previous methods, does not assume an equal chance of pollen transfer for pollen grains in the region of overlap. The probability that a single pollen grain from a short‐styled plant undergoes legitimate pollen transfer to long‐styled flowers (4.19×10 −2 ) was more than twice that for illegitimate transfer to other short‐styled plants (1.56×10 −2 ). In contrast, the probability that a single pollen grain from a long‐styled flower undergoes legitimate pollen transfer to short‐styled flowers (1.65×10 −2 ) was no greater than that of illegitimate pollen transfer to other long‐styled plants (2.15×10 −2 ). The transfer proficiencies of individual pollen grains are thus highly asymmetric. However, because long‐styled flowers produce significantly more pollen, the ratio of legitimate to illegitimate pollen on the stigmas of short‐styled flowers (1.85) markedly exceeded that for long‐styled flowers (1.11). Short‐styled flowers incurred significantly higher levels of self‐pollination than long‐styled plants, emphasizing the importance for self‐pollination to be removed before comparing stigmatic pollen loads. The method we propose could be applied to other distylous species with pollen size overlap between morphs and thus allow for a more widespread study of the pollination ecology of heterostylous species.
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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) | 0.001 | 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 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".