The use of midday leaf water potential for scheduling deficit irrigation in vineyards

By Joan Girona, M. Mata, J. D. Campo, A. Arbonés, E. Bartra, J. Marsal. Irrigation science, 2005

235 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Plant Science, Soil Science

View Paper: https://www.semanticscholar.org/paper/bac2411f77538de229b023acdab0cf0a740b3a1a

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Citations in the corpus

Deficit irrigation for reducing agricultural water use. (2006, background): “There have been commercial applications of PRD and the system has already been tested in vineyards located in many environments (Dos Santos et al., 2003; Girona et al., 2006).”
Evaluation of grapevine water status from trunk diameter variations (2007, background): “These values are very close to the threshold value of i1.2 MPa successfully tested by Girona et al. (2006) for scheduling deWcit irrigation in Pinot noir, increasing grape quality with almost no reduction in yield.”
Water Productivity, Yield, and Berry Composition in Sustained versus Regulated Deficit Irrigation of Merlot Grapevines (2014, background): “Vine response to water deficit depends on the pattern and severity of the imposed water stress (Hardie and Considine 1976), and this information has been used to develop deficit irrigation strategies.”
Interaction of rootstock and applied water amounts at various fractions of estimated evapotranspiration (ETc) on productivity of Cabernet Sauvignon (2010, background): “2008), or plant-based deficit irrigation scheduling (Girona et al. 2006), grapevine water use efficiency will increase.”
Variations of soil properties affect the vegetative growth and yield components of “Tempranillo” grapevines (2011, background): “…holding capacity of soils can influence the yield of the vines (van Leeuwen et al. 2004; Bodin and Morlat 2006a; Reynolds et al. 2007), but for a given season the effect of climate is more important to determine the yield than the soil characteristics (van Leeuwen et al. 2004; Girona et al. 2006).”
Combining leaf physiology, hyperspectral imaging and partial least squares-regression (PLS-R) for grapevine water status assessment (2015, background): “All three variables are known for their relevance to grapevine irrigation scheduling, due to their preliminary and indicative response to water status changes (Acevedo-Opazo et al., 2010; Cifre et al., 2005; Flexas et al., 2002; Girona et al., 2006).”