Variation in morphological traits among and within populations of Austrodanthonia caespitosa (Gaudich.) H.P. Linder and four related species
Bibliographic record
Abstract
The native perennial grasses Austrodanthonia spp. are widespread and of great agricultural economic importance to large areas of southern Australia. However, little is known of the adaptive genetic variation that exists within wild populations. Intra-specific genetic variation has significant implications for the restoration and management of native plant communities because different seed sources may exhibit differences in adaptation. Using two common garden studies, we measured variation in morphological traits (flowering and growth) and water-use efficiency (carbon-isotope discrimination ?) of Austrodanthonia caespitosa (Gaudich.) H.P. Linder and related species (A. bipartita, A. eriantha, A. fulva and A. setacea) and related this variation to environmental characteristics. Most variation for all species occurred among populations suggesting ecotypic variation. The significant relationship between flowering and growth characteristics of A. caespitosa and both large-scale climatic variables such as spring rainfall and sunshine hours and small-scale site characteristics such as shading provides evidence for trait-dependent adaptation at different scales. While components of fecundity such as flowering time and number of inflorescences represent important fitness traits, for other traits such as intrinsic water use there were no significant differences between populations. We discuss the implication of these results to both growth characteristics and sourcing seed.
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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) | 0.001 | 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 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".