Within-vineyard variation in the ‘pepper’ compound rotundone is spatially structured and related to variation in the land underlying the vineyard
Why this work is in the frame
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Bibliographic record
Abstract
Background and Aims Previous studies have highlighted the importance of vineyard variability and the benefits that may accrue through targeting management in response to it. In this study, we were interested to see whether the concentration of rotundone in Shiraz (Vitis vinifera L.) grapes was spatially structured and related to other aspects of vineyard variability so as to inform the possible selective harvesting of grapes destined for wines of ‘peppery’ character. Methods and Results Immediately prior to harvest of a 6.1-ha block in the Grampians region of Victoria, a region known for producing wines of ‘peppery’ character, fruit was sampled from 177 ‘target vines’ and analysed for its rotundone concentration. The resulting data were mapped and overlain with other map layers describing variation in soils, topography and vine vigour. Berry rotundone concentration was found to be markedly spatially variable. The results further suggest that within-vineyard variation in berry rotundone concentration is associated with variation in soil properties and topography, with the influence of the latter on ambient temperature implicated as a likely key driver of rotundone variation. Conclusions Consistent with previous analyses of variability in indices of fruit quality, variation in berry rotundone concentration was found to be spatially structured; that is, its variation was not random. As with these previous studies, variation in berry rotundone concentration was associated with variation in the land underlying the vineyard. Significance of the Study To our knowledge, this is the first study of within-vineyard spatial variability in a grape-derived flavour compound. It highlights the potential opportunity, with further understanding of rotundone biosynthesis, to use selective harvesting and/or viticultural manipulation as a means of influencing wine style – in this case the ‘pepperiness’ of Shiraz.
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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 | 0.005 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it