Assessment of an empirical spatial prediction model of vine water status for irrigation management in a grapevine field

Assessment of an empirical spatial prediction model of vine water status for irrigation... 1 Introduction</h5> In a recent study, Acevedo-Opazo et al. (2010b) discussed the importance of monitoring the spatial variability of vine water status for scheduling differential field management due to the known effects of vine water status on yield and grape quality ( Acevedo-Opazo et al., 2010a; Champagnol, 1984; Dry and Loveys, 1998; Ojeda et al., 2004; Seguin, 1983 ). In the case of irrigated vineyards, several studies have shown that water potential measurements are the preferred method for controlling irrigation, particularly when regulated deficit irrigation (RDI) is a common management practice ( Acevedo-Opazo et al., 2010a; Acevedo-Opazo et al., 2008b; Girona et al., 2006; Ojeda et al., 2002 ). Vine irrigation management can then be aimed at maintaining the water potential between an optimal range of values (that varies depending on the variety and the type of management) during the major vine phenological periods in order to produce good quality grapes. In a related body of work, spatial prediction models to extrapolate vine water status measurements over a whole field from a single reference site have also been proposed ( Acevedo-Opazo et al., 2008a; Acevedo-Opazo et al., 2010b ). The application of these spatial models has enabled the http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Agricultural Water Management Elsevier

Assessment of an empirical spatial prediction model of vine water status for irrigation management in a grapevine field

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Publisher
Elsevier
Copyright
Copyright © 2013 Elsevier B.V.
ISSN
0378-3774
D.O.I.
10.1016/j.agwat.2013.03.018
Publisher site
See Article on Publisher Site

Abstract

1 Introduction</h5> In a recent study, Acevedo-Opazo et al. (2010b) discussed the importance of monitoring the spatial variability of vine water status for scheduling differential field management due to the known effects of vine water status on yield and grape quality ( Acevedo-Opazo et al., 2010a; Champagnol, 1984; Dry and Loveys, 1998; Ojeda et al., 2004; Seguin, 1983 ). In the case of irrigated vineyards, several studies have shown that water potential measurements are the preferred method for controlling irrigation, particularly when regulated deficit irrigation (RDI) is a common management practice ( Acevedo-Opazo et al., 2010a; Acevedo-Opazo et al., 2008b; Girona et al., 2006; Ojeda et al., 2002 ). Vine irrigation management can then be aimed at maintaining the water potential between an optimal range of values (that varies depending on the variety and the type of management) during the major vine phenological periods in order to produce good quality grapes. In a related body of work, spatial prediction models to extrapolate vine water status measurements over a whole field from a single reference site have also been proposed ( Acevedo-Opazo et al., 2008a; Acevedo-Opazo et al., 2010b ). The application of these spatial models has enabled the

Journal

Agricultural Water ManagementElsevier

Published: Jun 1, 2013

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