Optimising grape quality and value to improve vineyard profitability and sustainability

Alain Deloire, Leigh Schmidtke, John Blackman, Guillaume Antalick, Katja Suklje, Campbell Meeks

Research output: Book/ReportCommissioned report (public)

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The objectives of this investigation were to employ predictive models of wine style based upon grape berry sugar accumulation profiles, or berry skin colour, to create a harvest decision framework. Specific wine styles (Fresh, Intermediate & Mature) were predicted for Shiraz and Cabernet Sauvignon cultivars based upon a specified number of days following cessation of sugar accumulation in the grape berry. Compositional measure of grapes, wine and wine sensory scores could be used to consistently predict the specified wine styles from the plateau of sugar accumulation irrespective of vineyard location, altitude or vine yield. Industry partners in the Barossa Valley undertook field based trials incorporating irrigation scheduling with the sugar accumulation models for harvest decision making. For the white cultivars Chardonnay and Sauvignon Blanc, grape berry skin colour measures of hue and tint angle determined using a Dyostem™ instrument was used to optimise harvest decisions for specific wine styles.
Original languageEnglish
Place of PublicationWagga Wagga, NSW
PublisherCharles Sturt University
Commissioning bodyAustralian Grape and Wine Authority trading as Wine Australia
Number of pages212
Publication statusPublished - 2017

Grant Number

  • NWG1301


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