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Impact of vine water status on sensory attributes of Cabernet Franc wines in the Niagara Peninsula of Ontario

2010· article· en· W2213636001 on OpenAlex
Javad Rezaei, Andrew G. Reynolds

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOENO One · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHorticultural and Viticultural Research
Canadian institutionsBrock University
FundersNatural Sciences and Engineering Research Council of CanadaBrock University
KeywordsVineyardTerroirVineAromaWinePeninsulaFlavorVintageVitis viniferaHorticultureSensory analysisGeographyFood scienceChemistryBiologyArchaeology

Abstract

fetched live from OpenAlex

<p style="text-align: justify;"><strong>Aim</strong>: To examine the impact of vine water status on sensory and chemical characteristics of Cabernet franc wines on non-irrigated sites in the Niagara Peninsula, Ontario, to assess whether vine water status might be a key factor in the determination of so-called terroir effects.</p><p style="text-align: justify;"><strong>Methods and results</strong>: The effects of vine water status on wine sensory characteristics were studied in <em>Vitis vinifera</em> L cv. Cabernet franc in the Niagara Peninsula (Ontario, Canada) in the 2005 and 2006 vintages. Vine water status was monitored throughout the growing season in ten vineyard blocks using midday leaf water potential (Ψ) values. Chemical and descriptive sensory analyses were performed on nine (2005) and eight (2006) pairs of experimental wines to elucidate differences between wines from high and low water status (HWS, LWS) zones in each vineyard. Twelve trained judges evaluated six aroma, six flavor and three mouthfeel/taste sensory attributes, as well as color intensity. In 2005, LWS wines had higher color intensity (four sites), black cherry flavor (one site), and red fruit aroma and flavor (two sites). Similar trends were observed in the 2006 vintage. No differences were found from one year to the next between the wines produced from the same vineyard, despite markedly different conditions in the 2005 and 2006 vintages.</p><p style="text-align: justify;"><strong>Conclusions</strong>: Measurement of midday leaf Ψ was successful in detecting differences among vine water status levels throughout the growing season. The range of leaf Ψ values were almost consistent at most sites in both 2005 and 2006 years. Differences in vine water status resulted in wines with different composition, aroma, flavor, and color intensity. Despite two different vintages of hot and dry (2005) and wet (2006) seasons, similar trends were observed in high and low water status wines.</p><p style="text-align: justify;"><strong>Significance and impact of study</strong>: The strong relationships between leaf Ψ and sensory attributes of Cabernet franc suggest that vine water status is a major basis for the terroir effect.</p>

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.771
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.041
GPT teacher head0.278
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it