The relationship between leaf anthocyanin content and chlorophyll fluorescence,as well as excited energy distribution during leaf expansion of Syringa oblata Lindl.
Bibliographic record
Abstract
In this paper,effects of changes in anthayanin content on chlorophyll contents,chlorophyll fluorescence characteristics and excitation energy distribution in photosynthetic apparatus in leaves of Syringa oblata Lindl. during leaf expansion were investigated. The results showed that anthocyanin contents decreased and chlorophyll contents increased in leaves of S. oblata with the expansion of leaves. There was a significant negative relationship between anthocyanin content and chlorophyll content,and capability of light capture and utilization of leaves were strengthened gradually with the increasing of anthocyanin contents,but the maximal PSⅡ photochemical efficiency( F v / F m) had no significant change. During leaf expansion,leaf anthocyanin contents decreased,and the quantum yield of thermal dissipation in non-functional PSⅡ( Ф NF) and the quantum yield of light-dependent and △pH-and xanthophyll-mediated regulated thermal dissipation( Ф NPQ) decreased. This showed that the younger leaf age was,the more anthocyanin contents had. And not only energy proportion of trans-thylakoid pH gradient and xanthophyll-regulated thermal energy dissipation in young leaves were higher than in mature leaves,but also quantum yield of thermal dissipation assigned by light absorption of PSⅡ reaction center to non-functional PSⅡ was larger. The distribution mechanism of light energy significantly decreased the pressure of active PSⅡ response center in young leaves,therefore,anthocyanin can prevent young leaves form the destruction of excess light energy.
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) | 0.000 | 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 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".