Exploring thermal imaging variables for the detection of stress responses in grapevine under different irrigation regimes

TLDR

Leaf and canopy temperatures indicate stomatal closure under soil water deficit. The study aims to evaluate thermal imaging for irrigation scheduling and crop performance monitoring. The authors used fully irrigated and non‑irrigated canopies as references and averaged temperatures over multiple leaves per canopy to reduce leaf‑angle variation. Thermal imaging distinguished irrigated from non‑irrigated canopies, correlated inversely with stomatal conductance, and a crop water stress index based on FI/NI references effectively detected stress, with average canopy temperatures proving more reliable than individual leaf temperatures.

Abstract

Temperatures of leaves or canopies can be used as indicators of stomatal closure in response to soil water deficit. In 2 years of field experiments with grapevines (Vitis vinifera L., cvs Castelão and Aragonês), it was found that thermal imaging can distinguish between irrigated and non-irrigated canopies, and even between deficit irrigation treatments. Average canopy temperature was inversely correlated with stomatal conductance measured with a porometer. Variation of the distribution of temperatures within canopies was not found to be a reliable indicator of stress. A large degree of variation between images was found in reference 'wet' and 'dry' leaves used in the first year for the calculation of an index proportional to stomatal conductance. In the second year, fully irrigated (FI) (100% Et(c)) and non-irrigated (NI) canopies were used as alternatives to wet and dry leaves. A crop water stress index utilizing these FI and NI 'references', where stressed canopies have the highest values and non-stressed canopies have the lowest values, was found to be a suitable measure for detecting stress. It is suggested that the average temperatures of areas of canopies containing several leaves may be more useful for distinguishing between irrigation treatments than the temperatures of individual leaves. Average temperatures over several leaves per canopy may be expected to reduce the impact of variation in leaf angles. The results are discussed in relation to the application of thermal imaging to irrigation scheduling and monitoring crop performance.