Flowering transition in grapevine (<i>Vitis vinifera</i>L.)This review is one of a selection of papers presented at the symposium on<i>Vitis</i>at the XVII International Botanical Congress held in Vienna, Austria, 2005.
Bibliographic record
Abstract
The available information on the regulation of flowering transition in model systems, such as Arabidopsis and rice, provides a framework to undertake the study of this process in plant species with different growth strategies. The grapevine ( Vitis vinifera L.) is the most widely cultivated and economically important fruit crop in the world. Understanding the regulation of flowering transition in this species can be relevant for the improvement of yield and quality of the crop. The grapevine is a representative of the family Vitaceae, whose species mostly grow as vines and have evolved climbing organs, tendrils, which are ontogenetically related to the reproductive organs. Here, we summarize the available information on the flowering transition in the grapevine. With this purpose, we first describe the vegetative and reproductive development of the grapevine as well as the reports on the physiology of flowering induction in this species. As well, we review the recent information on the molecular genetics of flowering signal integrator and flower meristem identity genes in the grapevine and compare the process with what is already known in model systems such as Arabidopsis. Finally, we propose a preliminary model to explain the regulation of flower initiation in the grapevine that is useful to identify its differential features and infer future prospects in the understanding of this process.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".