Segregation of F‐2 interspecific hybrid growth performance and wing color patterns relative to parental species in the <i>Papilio machaon</i> species group (Lepidoptera: Papilionidae)
Bibliographic record
Abstract
Abstract A strange Papilio female specimen with a prominent yellow wing band type very much like P. brevicauda (and also seen in P. machaon, and P. zelicaon) was captured in the forested mountains of southwest Vermont, USA. Despite its brevicauda‐ like appearance, it had mt‐DNA of P. polyxenes. In eastern North America the P. brevicauda (Maritime Provinces of Canada) is currently believed to reflect previous (ancient) hybridization between ancestral P. machaon and P. polyxenes. It is uncertain whether the brevicauda‐like wing trait features in the odd Vermont female may be a result of some introgression of P. machaon or P. brevicauda with P. polyxenes in eastern North America as seen also in the Ozark Mountains with P. joanae. Nonetheless, the significance of wing trait analyses in relation to hybrid zones with P. polyxenes remains relevant. The segregation of wing color patterns and hostplant use abilities (efficiencies and growth rates) were examined for laboratory hand‐paired F‐2 hybrids of P. zelicaon × Papilio polyxenes relative to the parental species and primary hybrids. The black adult color pattern characterizing P. polyxenes is presumed to be inherited as a simple autosomal dominant. These hybrids were examined to determine: (i) how F‐1 primary hybrid offspring perform relative to the parental types in survival, growth rates, and growth efficiencies; and (ii) whether these larval traits and the adult color patterns might be linked with wing morphology in the F‐2 hybrids. While the F‐1 hybrids grew as well as the P. polyxenes parent (P. zelicaon was significantly less efficient and slower in growth than either of these), we could not convincingly determine whether the growth performances of the F‐2 segregants were linked with the parental wing patterns.
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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 | 0.000 |
| 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) | 0.003 | 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".