Physicochemical characteristics, phenolic profile, and antioxidant capacity, of Syrah tropical wines: Effects of vineyard management practices
Bibliographic record
Abstract
The present study evaluated the influence of training systems and rootstocks on the quality of Syrah tropical wines, produced at São Francisco Valley, Brazil. For this purpose, physicochemical characteristics, phenolic composition, and antioxidant activity were assessed in wines produced with grapes grown under divided trellis system (lyre) and esparlier or vertical shoot position (VSP) training systems, grafted on IAC 572, IAC 766 and Paulsen 1103 rootsotcks and harvested at two different periods. Harvest season had the strongest influence on wine quality, followed by the rootstock. Regardless of the training system and climatic variability between the harvests, the use of the IAC 766 rootstock led to wines with higher alcohol, anthocyanins contents and color intensity. The interaction between the espalier training system and the rootstock IAC 766 resulted in higher flavonols contents, phenolic acids, and malvidin-3-O-glucoside, which was detected as the major phenolic as quantified by HPLC. This wine also presented significant levels of procyanidins A2 and B2, which showed a positive correlation with the antioxidant activity.
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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) | 0.000 | 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".