Field-scale model of the spatio-temporal vine water status in a viticulture system

摘要

The water status of a vine during the season is an important indicator and determinant of final grape quality. Using data collected from temporal measurements of pre-dawn vine water status from multiple locations over two consecutive seasons, a fieldscale spatio-temporal model of vine water status has been constructed. The model uses climatic variables to temporally model mean field values for vine water status, then easily measured vine and soil parameters to model a spatial error component at anygiven time. The spatial component significantly improved the fit of the temporal model to the data, especially at higher water stresses when information is more important for decision making. Spatial patterns associated with management decisions were similar between the modelled and interpolated data sets. Results are very encouraging and further model development and refinement will continue to make the model more applicable across different fields and varieties.