An Index for User-Friendly Proximal Detection of Water Requirements to Optimized Irrigation Management in Vineyards

We propose an index for proximal detection of water requirements to optimize the use resources in arid and semi-arid wine growing regions. To test accuracy representativeness proposed irrigation need (IIN), plant status physiological performances were monitored during seasons 2019 2020 two grapevine varieties with different anisohydric degree (Vermentino Cannonau) grown 3 sites Sardinia (Italy). Daily leaf gas exchange curves stem potential recorded. Canopy temperature was monitored, using both thermistor sensors (Tc) infrared thermometry (IR). Meteorological data, including dry wet bulb temperatures collected compute parametrize IIN, based on energy balance equation. Vineyard balance, thermal time productivity characterized. Linear regression analysis allowed validate IIN establish target thresholds mild, moderate severe deficit high yield quality objectives. well represents status, either Tc or IR, allows rapid easy heat stress condition, even when a stricter stomatal control determines slighter variation lower response potential, as plants low degree.