Different effects of dark treatment on pigment composition and photosystem I and II activities in intact cotyledons and primary leaves of Cucurbita pepo (zucchini)
Bibliographic record
Abstract
Darkness mediates different senescence-related responses depending on the targeting of dark treatment (whole plants or individual leaves) and the organs that perceive the signal (leaves or cotyledons). In this study, we presented data on the differential effects of 2-day dark treatment on progression of senescence in cotyledons and primary leaves of 14-day-old plants of Cucurbita pepo L. (zucchini). The lack of changes in chlorophyll a, chlorophyll b and carotenoid contents as well as in the PSI activity measured by the far-red induced alterations in the P700 oxidation levels and the quantum yield of electron transport from Q A − to PSI end acceptors ( $$\varphi_{\hbox{R}_0}$$ ) indicated higher resistance of cotyledons to the applied dark stress compared to the primary leaves. In contrast to cotyledons, PSI activity in the primary leaves was significantly inhibited. Concerning the activity of PSII analyzed by the changes in the JIP-test parameters (the maximal efficiency of PSII photochemistry, $$\varphi_{\hbox{P}_0}$$ ; the performance index, PIABS; the efficiency of Q A − reoxidation, ψ 0 and the effective dissipation per reaction center, DI0/RC), no differences were observed between cotyledons and primary leaves, thus suggesting that PSI activity in the true leaves was more susceptible to the applied dark stress. The transfer of the darkened plants to normal light regime resulted in delayed senescence in cotyledons which was in contrast to results on Arabidopsis, thus implying the existence of specific mechanisms of cotyledon senescence in different monocarpic plants.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.001 | 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".