Optimising grape quality and value to improve vineyard profitability and sustainability

Research output: Book/ReportCommissioned report

28 Downloads (Pure)

Abstract

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

Fingerprint

vineyards
profitability
wines
grapes
sugars
wine grapes
color
cultivars
irrigation scheduling
vines
small fruits
decision making
plateaus
valleys
industry

Grant Number

  • NWG1301

Cite this

@book{0e870a4a047d41df84b0b66af2a9c5cb,
title = "Optimising grape quality and value to improve vineyard profitability and sustainability",
abstract = "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.",
author = "Alain Deloire and Leigh Schmidtke and John Blackman and Guillaume Antalick and Katja Suklje and Campbell Meeks",
year = "2017",
language = "English",
publisher = "Charles Sturt University",
address = "Australia",

}

Optimising grape quality and value to improve vineyard profitability and sustainability. / Deloire, Alain; Schmidtke, Leigh; Blackman, John; Antalick, Guillaume; Suklje, Katja; Meeks, Campbell.

Wagga Wagga, NSW : Charles Sturt University, 2017. 212 p.

Research output: Book/ReportCommissioned report

TY - BOOK

T1 - Optimising grape quality and value to improve vineyard profitability and sustainability

AU - Deloire, Alain

AU - Schmidtke, Leigh

AU - Blackman, John

AU - Antalick, Guillaume

AU - Suklje, Katja

AU - Meeks, Campbell

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

M3 - Commissioned report

BT - Optimising grape quality and value to improve vineyard profitability and sustainability

PB - Charles Sturt University

CY - Wagga Wagga, NSW

ER -