Intraspecific variability in <i>Commelina erecta</i> : response to phosphorus addition
Bibliographic record
Abstract
To examine intraspecific variability, we studied the biomass production and physiological responses of clonal replicates of the widespread perennial herb Commelina erecta L. grown under different phosphorus concentrations. Five replicates per genotype collected from a small population were exposed to 0.01 or 1.0 mmol·L1 phosphate in a hydroponic solution and grown under natural radiation. High intraspecific variability occurred for ecologically important traits such as root, leaf, and total plant biomass, with significantly higher responses in the high phosphorus treatment. The norms of reaction for high versus low phosphorus supply often crossed, indicating that selection for different genotypes may be enhanced in some environments and reduced in others. The root phosphorus concentration and phosphorus absorption rate varied among clones. Phosphorus supply increased photosynthetic rates in all clones 15 days after the start of the experiment, but treatment differences were lost with development when significant clone variability was observed. Maximum photosynthetic rates and carboxylation efficiencies were different between clones and treatments; relative stomatal and mesophyll limitations to photosynthesis also varied among clones. Predawn photochemical efficiency remained relatively constant among treatments and clones. Commelina erecta showed a very high intraspecific variability, which is an important factor in plant survival and success.Key words: growth, norms of reaction, photosynthesis, phosphorus absorption.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".