Light and Temperature Regulation of Flowering in <i>Rosa chinensis</i> under Controlled Cultivation
Bibliographic record
Abstract
Rosa chinensis serves as a model for studying floral transition in perennial woody ornamentals. This study explores how light and temperature regulate flowering patterns, floral quality, and genotype × environment interactions under controlled and field conditions. Molecular analysis shows that the Rc CO -Rc FT module and RcPIF -FLC-like axis integrate environmental cues, with RcPHYA , RcCRY2 , RcPIF4 , and RcHsfA6 acting through downstream regulators such as RcSOC1. Transcriptomic and epigenetic data confirm convergence of these networks, enabling synchronized flowering, while high temperature and short-day conditions disrupt activators. Phenotypic trials demonstrate that temperature and light shape floral morphology, longevity, and symmetry. A case study at the Royal Botanic Gardens Kew illustrates how precise environmental management ensures display value and conservation. The findings support breeding climate-resilient rose cultivars using marker-assisted selection, transcriptome-based screening, and CRISPR/Cas9 editing, providing practical strategies for sustainable cultivation, ornamental display, and adaptation to climate change.
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) | 0.001 | 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".