An agro-physiological dataset on industrial tomatoes from nine years of field experiments conducted with alternative water-saving strategies in Mediterranean environments

DI is a widely investigated farming strategy that reduces water applications below optimal crop requirements during the crop cycle without compromising production. The dataset comprises 100 experimental plots carried out in nine years and entails 32 DI treatments.

The treatments include nine controls (well-watered), 15 constant DI treatments (i.e., same irrigation regime during the crop cycle), and eight variable DI treatments. The dataset is released as a Microsoft Excel file (extension .xlsx) organized in eight sheets corresponding to the main typologies of data, i.e., irrigation water scheduling (volume and timing), physical soil characteristics, daily weather data, and agro-physiological variables (i.e., phenology, stomatal conductance, crop temperature, crop yield, and quality).