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 Article

Proximal Sensing and Relationships to Soil and Vine Water Status, Yield, and Berry Composition in Ontario Vineyards

Elena Kotsaki, Andrew G. Reynolds, Ralph Brown, Marilyne Jollineau, Hyun-Suk Lee, Emily Aubie
Am J Enol Vitic. April 2020 71: 114-131; published ahead of print December 16, 2019 ; DOI: 10.5344/ajev.2019.19018
Elena Kotsaki
1Graduate Research Assistant, Cool Climate Oenology and Viticulture Institute, Brock University, St. Catharines, ON
  • 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
Andrew G. Reynolds
2Professor of Viticulture, Cool Climate Oenology and Viticulture Institute, Brock University, St. Catharines, ON
7Present Address: 613 Memorial Drive, Fenwick, ON L0S1C0, Canada.
  • 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: andrewreynolds2007@gmail.com
Ralph Brown
3Adjunct Professor, Dept. of Biological Sciences, Brock University, St. Catharines, ON
  • 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
Marilyne Jollineau
4Professor of Geography, Environmental Sustainability Research Centre, Brock University, St. Catharines, ON
  • 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
Hyun-Suk Lee
5Technical Assistant, Cool Climate Oenology and Viticulture Institute, Brock University, St. Catharines, ON
  • 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
Emily Aubie
6Postdoctoral Fellow, Cool Climate Oenology and Viticulture Institute, Brock University, St. Catharines, ON
  • 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
  • Supplemental
  • Info & Metrics
  • PDF
Loading

Abstract

Proximal sensing technology was developed to overcome many of the restrictions related to satellite- or aircraft-based remote sensing systems. Ground-based proximal sensing systems collect multispectral images in the visible and near-infrared wavebands and calculate vegetation indices, such as the normalized difference vegetation index (NDVI). The objective of this study was to assess the usefulness in viticulture of NDVI measurements acquired by the GreenSeeker™ optical sensor technology and to relate those measurements with grapevine physiological indicators. It was hypothesized that variability in vegetative expression, yield, and plant water status would relate to NDVIs and that differences in grape composition, including phenols and color, would be identified. It was also hypothesized that spatial variability in the study plots would exhibit temporally stable patterns. Results suggested that NDVI successfully established relationships with most variables; positive relationships were exhibited with vine size and yield components, while inverse correlations were demonstrated with phenols in red cultivars and monoterpenes in Riesling. Clustering patterns in NDVI were confirmed by k-means clustering analysis and Moran’s I spatial autocorrelation index. The usefulness of the GreenSeeker proximal sensing tool was confirmed and is indicative of the future applicability of this technology to divide vineyards into subblocks of different productivity.

  • monoterpenes
  • NDVI
  • phenolics
  • precision viticulture
  • proximal sensing technology
  • spatial variability
  • Received February 2019.
  • Revision received November 2019.
  • Accepted November 2019.
  • © 2020 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 71 Issue 2

Issue Cover
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • 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.
Proximal Sensing and Relationships to Soil and Vine Water Status, Yield, and Berry Composition in Ontario Vineyards
(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
Proximal Sensing and Relationships to Soil and Vine Water Status, Yield, and Berry Composition in Ontario Vineyards
Elena Kotsaki, Andrew G. Reynolds, Ralph Brown, Marilyne Jollineau, Hyun-Suk Lee, Emily Aubie
Am J Enol Vitic.  April 2020  71: 114-131;  published ahead of print December 16, 2019 ; DOI: 10.5344/ajev.2019.19018

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
Proximal Sensing and Relationships to Soil and Vine Water Status, Yield, and Berry Composition in Ontario Vineyards
Elena Kotsaki, Andrew G. Reynolds, Ralph Brown, Marilyne Jollineau, Hyun-Suk Lee, Emily Aubie
Am J Enol Vitic.  April 2020  71: 114-131;  published ahead of print December 16, 2019 ; DOI: 10.5344/ajev.2019.19018
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
    • Discussion
    • Conclusions
    • Acknowledgments
    • Footnotes
    • Literature Cited
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • PDF

Related Articles

Cited By...

More from this TOC section

  • 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

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