Climate and Phenology: Behavior of Autochthonous Italian Grapevine Varieties in the Uplands of Southern Brazil
Bibliographic record
Abstract
<p>The present study aimed to characterize the mesoclimate of the municipality of Água Doce, Brazil, and its influence on the phenological development and thermal requirements of autochthonous Italian varieties (<em>Vitis vinifera</em> L). The climate data were provided by a local automatic weather station. The principal phenological stages of red varieties (Aglianico, Ancellotta, Lambrusco, Malvasia Nera, Negroamaro, Nero d’Avola, Primitivo, Sangiovese, and Rebo) and white varieties (Fiano, Garganega and Vermentino) are analyzed. Results show that the mean temperature measured during the phenological cycles from September to April were higher than the climatological average (1961 to 2012). According to the Winkler, Huglin, and Cool Night bioclimatic indexes, the region is classified as “Region II”, cold and with cool nights, respectively. The average heat summation for the phenological cycles of the varieties was 1740 GDD (205 days, 2009-2010), 1463 GDD (187 days, 2010-2011), and 1408 GDD (176 days, 2011-2012). The Lambrusco variety presented the longest phenological cycle (203 days), while Garganega presented the shortest one (178 days). The lower temperatures of Água Doce, when compared to those in other regions where the varieties are traditionally produced, determine longer growing cycles and a shift in the timing of the phenological stages.</p>
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".