Metal Tolerance of Scented Geranium (Pelargonium sp. ‘Frensham’): Effects of Cadmium and Nickel on Chlorophyll Fluorescence Kinetics
Bibliographic record
Abstract
ABSTRACT The ability of scented geraniums (Pelargonium sp. Frensham) to tolerate metal stress was assessed using chlorophyll a fluorescence kinetics. The effects of various concentrations of cadmium and nickel in the culture solution on photosynthetic efficiency in scented geranium was evaluated in comparison to two well-established metal accumulators, the Indian mustard (Brassica juncea), and the sunflower (Helianthus annuus), under greenhouse conditions. The efficiency of the photosynthetic apparatus was affected to varying degrees at all metal concentrations for the plants tested. High concentrations of cadmium (1000 mg L-1) did not significantly affect the efficiency of photosystem II activity, expressed as the ratio of variable fluorescence to maximal fluorescence (Fv/Fm), which remained high (0.738) in scented geraniums, but decreased significantly (P < 0.05) in Indian mustard (0.089) and sunflower (0.026) plants following 4 days of metal exposure. Similar trends were observed for nickel treatments. Also, the number and size of active photosynthetic reaction centers, as measured by the Fv/Fo ratio, was not significantly affected by metal exposure in scented geranium plants, while the ratio significantly decreased in Indian mustard and sunflower seedlings. The results suggest that scented geranium plants were able to overcome metal stress through (1) maintaining an efficient photosystem II activity, which is required for plant metabolism and physiological functions, as well as to overcome metal ion mediated stress, and (2) restricting damage to the photosynthetic apparatus (reaction centers) by metal ions.
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 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".