Skip to main content
Advertisement

Main menu

  • Home
  • AJEV Content
    • Current Volume
    • Papers in Press
    • Archive
    • Best Papers
    • ASEV National Conference Technical Abstracts
    • Collections
    • Free Sample Issue
  • Information For
    • Authors
    • Open Access and Subscription Publishing
    • Submission
    • Subscribers
      • Proprietary Rights Notice for AJEV Online
    • Permissions and Reproductions
    • Advertisers
  • About Us
  • Feedback
  • Alerts
    • Alerts
    • RSS Feeds
  • Help
  • Login
  • ASEV MEMBER LOGIN

User menu

  • Log in

Search

  • Advanced search
American Journal of Enology and Viticulture
  • Log in
  • Follow ajev on Twitter
  • Follow ajev on Linkedin
American Journal of Enology and Viticulture

Advanced Search

  • Home
  • AJEV Content
    • Current Volume
    • Papers in Press
    • Archive
    • Best Papers
    • ASEV National Conference Technical Abstracts
    • Collections
    • Free Sample Issue
  • Information For
    • Authors
    • Open Access and Subscription Publishing
    • Submission
    • Subscribers
    • Permissions and Reproductions
    • Advertisers
  • About Us
  • Feedback
  • Alerts
    • Alerts
    • RSS Feeds
  • Help
  • Login
  • ASEV MEMBER LOGIN
Research ArticleResearch ArticleResearch Articles

A Multivariate Methodological Approach to Relate Wine to Characteristics of Grape Composition: The Case of Typicality

Valentina Canuti, Monica Picchi, Bruno Zanoni, Giovanna Fia, Mario Bertuccioli
Am J Enol Vitic. January 2017 68: 49-59; published ahead of print September 22, 2016 ; DOI: 10.5344/ajev.2016.15111
Valentina Canuti
1GESAAF – Department of Agriculture, Food and Forestry Systems, University of Florence, via Donizetti, 6 – 50144 - Florence – Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Find this author on ADS search
  • Find this author on Agricola
  • Search for this author on this site
  • For correspondence: valentina.canuti@unifi.it
Monica Picchi
1GESAAF – Department of Agriculture, Food and Forestry Systems, University of Florence, via Donizetti, 6 – 50144 - Florence – Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Find this author on ADS search
  • Find this author on Agricola
  • Search for this author on this site
Bruno Zanoni
1GESAAF – Department of Agriculture, Food and Forestry Systems, University of Florence, via Donizetti, 6 – 50144 - Florence – Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Find this author on ADS search
  • Find this author on Agricola
  • Search for this author on this site
Giovanna Fia
1GESAAF – Department of Agriculture, Food and Forestry Systems, University of Florence, via Donizetti, 6 – 50144 - Florence – Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Find this author on ADS search
  • Find this author on Agricola
  • Search for this author on this site
Mario Bertuccioli
1GESAAF – Department of Agriculture, Food and Forestry Systems, University of Florence, via Donizetti, 6 – 50144 - Florence – Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Find this author on ADS search
  • Find this author on Agricola
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Typicality is defined as the characteristics of a Protected Designation of Origin (PDO) wine related to a terroir. In the context of a PDO, a typicality assessment can be used to assess the global quality of a PDO wine. This study used a two-phase method to identify the distinctive characteristics of a PDO wine and then apply those findings to a case study of Chianti Montespertoli DOCG wine, where DOCG is the Italian acronym for PDO. A panel of wine professionals evaluated the typicality of a series of selected PDO wine samples, and a partial least squares (PLS) regression model was used to associate wine typicality and chemical composition. The model was used to predict wine typicality from the chemical composition of experimental wines (2009, 2010, and 2011 vintages) produced from grapes growing in the PDO area. Finally, regression coefficients of the PLS model were analyzed to select which grape chemical parameters were significant in describing the typicality of the wine. These highlight the most important factors to manage during winemaking to ensure the typicality of this wine.

  • chemical composition
  • grape
  • multivariate analysis
  • PLS model
  • typicality
  • wine
  • ©2017 by the American Society for Enology and Viticulture
View Full Text

Sign in for ASEV members

ASEV Members, please sign in at ASEV to access the journal online.

Sign in for Institutional and Non-member Subscribers

Log in using your username and password

Forgot your user name or password?

Pay Per Article - You may access this article (from the computer you are currently using) for 2 day for US$10.00

Regain Access - You can regain access to a recent Pay per Article purchase if your access period has not yet expired.

Forgot your user name or password?

PreviousNext
Back to top

Vol 68 Issue 1

  • Table of Contents
  • Table of Contents (PDF)
  • Index by author
View full PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on AJEV.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
A Multivariate Methodological Approach to Relate Wine to Characteristics of Grape Composition: The Case of Typicality
(Your Name) has forwarded a page to you from AJEV
(Your Name) thought you would like to read this article from the American Journal of Enology and Viticulture.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
You have accessRestricted access
A Multivariate Methodological Approach to Relate Wine to Characteristics of Grape Composition: The Case of Typicality
Valentina Canuti, Monica Picchi, Bruno Zanoni, Giovanna Fia, Mario Bertuccioli
Am J Enol Vitic.  January 2017  68: 49-59;  published ahead of print September 22, 2016 ; DOI: 10.5344/ajev.2016.15111

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero

Share
You have accessRestricted access
A Multivariate Methodological Approach to Relate Wine to Characteristics of Grape Composition: The Case of Typicality
Valentina Canuti, Monica Picchi, Bruno Zanoni, Giovanna Fia, Mario Bertuccioli
Am J Enol Vitic.  January 2017  68: 49-59;  published ahead of print September 22, 2016 ; DOI: 10.5344/ajev.2016.15111
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Save to my folders

Jump to section

  • Article
    • Abstract
    • Materials and Methods
    • Results and Discussion
    • Conclusion
    • Acknowledgments
    • Literature Cited
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

Cited By...

More from this TOC section

Research Article

  • Phenological Stage and Tissue Type of Grapevines Impact Concentrations and Variability of Mineral Nutrients
  • Machine-Learning Methods for the Identification of Key Predictors of Site-Specific Vineyard Yield and Vine Size
  • Gibberellic Acid for Table Grape Inflorescence Elongation: Is It Worth It?
Show more Research Article

Research Articles

  • Phenological Stage and Tissue Type of Grapevines Impact Concentrations and Variability of Mineral Nutrients
  • Machine-Learning Methods for the Identification of Key Predictors of Site-Specific Vineyard Yield and Vine Size
  • Gibberellic Acid for Table Grape Inflorescence Elongation: Is It Worth It?
Show more Research Articles

Similar Articles

AJEV Content

  • Current Volume
  • Papers in Press
  • Archive
  • Best Papers
  • ASEV National Conference Technical Abstracts
  • Collections
  • Free Sample Issue

Information For

  • Authors
  • Open Access/Subscription Publishing
  • Submission
  • Subscribers
  • Permissions and Reproductions
  • Advertisers

Alerts

  • Alerts
  • RSS Feeds

Other

  • Home
  • About Us
  • Feedback
  • Help
  • Catalyst
  • ASEV
asev.org

© 2023 American Society for Enology and Viticulture.  ISSN 0002-9254.

Powered by HighWire