Effects of the phylogeny and seed traits on germination of <i>Polygonaceae</i> species from Subtropical Forest, Southeast China
Bibliographic record
Abstract
Seed germination directly influences seeding survival. Phylogenetically related species often exhibit similar germination traits; however, several environmental factors also play important roles in determining germination. In this study, we tested inter-specific variability in seeds and investigated relations between germination responses, seed morphology, and phylogenetic relatedness in 9 species of Polygonaceae. Seed dimensions (length, width, and height) were examined using a Stereo Microscope equipped with a microscope camera. Water permeability was assessed by measuring the mass of three replicates of 25 seeds. Seeds were tested at five different alternating temperature regimes: 5/10, 10/20, 20/30, 25/35, and 35/40 °C and under two different conditions: 24 h darkness (dark treatment) and 12 h light/12 h darkness (light treatment) and light regimes. The findings highlighted significant differences in the seed morphology, water uptake, and germination behavior. Some species exhibited physiological dormancy while other responded readily to light and temperature. Seed size was positively correlated with germination performance, while the seed morphology distance matrix was not correlated to phylogenetic distances. These findings suggest that while phylogeny is an important factor in determining a role in seed traits, environmental cues play a more intense role in the evolution of seed traits in Polygonaceae.
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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".