Application of a Daily Crop Water Stress Index to Deficit Irrigate Malbec Grapevine under Semi-Arid Conditions

Precision irrigation of wine grape is hindered by the lack of an automated method for monitoring vine water status. The objectives of this study were to: Validate an automated model for remote calculation of a daily crop water stress index (<i>CWSI</i>) for the wine grape (<i>Vitis...

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Bibliographic Details
Main Authors: Krista C. Shellie, Bradley A. King
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Agriculture
Subjects:
Online Access:https://www.mdpi.com/2077-0472/10/11/492
Description
Summary:Precision irrigation of wine grape is hindered by the lack of an automated method for monitoring vine water status. The objectives of this study were to: Validate an automated model for remote calculation of a daily crop water stress index (<i>CWSI</i>) for the wine grape (<i>Vitis vinifera</i> L.) cultivar Malbec and evaluate its suitability for use in irrigation scheduling. Vines were supplied weekly with different percentages of evapotranspiration-based estimated water demand (ET<sub>c</sub>) over four growing seasons. In the fifth growing season, different daily <i>CWSI</i> threshold values were used to trigger an irrigation event that supplied 28 mm of water. All three indicators of vine water status (<i>CWSI</i>, midday leaf water potential (Ψ<sub>lmd</sub>), and juice carbon isotope ratio (δ<sup>13</sup>C)) detected an increase in stress severity as the irrigation amount decreased. When the irrigation amount decreased from 100% to 50% ET<sub>c</sub>, 70% to 35% ET<sub>c</sub>, or the daily <i>CWSI</i> threshold value increased from 0.4 to 0.6, berry fresh weight and juice titratable acidity decreased, juice δ<sup>13</sup>C increased, the weekly <i>CWSI</i> increased, and Ψ<sub>lmd</sub> decreased. Under the semi-arid conditions of this study, utilizing a daily <i>CWSI</i> threshold for irrigation scheduling reduced the irrigation amount without compromising the yield or changes in berry composition and remotely provided automated decision support for managing water stress severity in grapevine.
ISSN:2077-0472