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Record W7016187690

Yeast communities of Nova Scotia wine grapes : characterization and implications for winemaking

2024· article· en· W7016187690 on OpenAlexfundaboutno aff

Bibliographic record

VenueSaint Mary's University Institutional Repository (Saint Mary's University) · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFermentation and Sensory Analysis
Canadian institutionsnot available
FundersMount Saint Vincent University
KeywordsWinemakingNova scotiaWineYeastVineyard
DOInot available

Abstract

fetched live from OpenAlex

Wine grapes host a community of yeasts that reflects the unique geography, climate, and \nmanagement of a vineyard. After grapes are crushed to produce must, a dynamic succession of yeasts takes place as fermentation unfolds. Initially, many basidiomycete and ascomycete species may be abundant, before one or few fermentative ascomycete yeasts, most often Saccharomyces cerevisiae (Desm.) Meyen 1838, become dominant and complete the fermentation. However, all yeasts contribute to the chemistry of a fermentation via interactions with each other and by using nutrients, secreting enzymes, and producing aromatic compounds. The cumulative result is the distinctive aroma and body of the wine. Despite the importance of yeast communities during fermentation, wine grape yeasts in Nova Scotia have yet to be evaluated. This emerging wine region generates >$245 M/year, supports >1100 jobs, and stimulates tourism. Therefore, the \nyeast communities of L’Acadie blanc grapes, a cool-climate hybrid cultivar, were characterized using high throughput sequencing. Considering rising demand for sustainable products, vineyards using organic and conventional cultivation practices were sampled. Yeast communities in musts were composed of predominantly basidiomycete yeasts and were significantly different among vineyard sites and between cultivation practices. One organic vineyard was selected for further analysis using two sequencing platforms (Illumina MiSeq and PacBio) to address biases and evaluate changes following spontaneous fermentation. Both S. cerevisiae and Saccharomyces uvarum Beij. 1898 were found to complete fermentations, but discrepancies in the proportions of these and Hanseniaspora uvarum (Niehaus) Shehata, Mrak and Phaff ex MT Sm 1956 were detected between the sequencing systems. Finally, considering their abundance, a \nreview of wine grape associated basidiomycete yeasts and their potential applications in \nwinemaking was conducted, highlighting known effects on wine aroma. Understanding the \ncomplexity of yeast diversity in wine musts and during fermentation can inform both vineyard management and winemaking.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.803
Threshold uncertainty score0.392

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.019
GPT teacher head0.205
Teacher spread0.186 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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