Evaluation of thermal-based physiological indicators for determining water-stress thresholds in drip-irrigated 'Regina' cherry trees

Carrasco-Benavides, Marcos; Espinoza-Meza, Sergio; Umemura, Kashike; Ortega-Farias, Samuel; Baffico-Hernandez, Antonella; Neira-Roman, Jose; Avila-Sanchez, Carlos; Fuentes, Sigfredo


This work aimed to assess the performance of different thermal infrared (TIR)-based physiological indicators (PI) as an alternative to the stem water potential (Psi s) and stomatal conductance (gs) to monitor the water status of grafted drip-irrigated 'Regina' cherry trees. In addition, we evaluated the usefulness of piecewise linear regression for finding PI thresholds that are important for post-harvest regulated deficit irrigation (RDI) management. With this purpose, an irrigation experiment was carried out in the post-harvest period. Trees were submitted to three Psi s-based water-stress treatments: T0 (fruit grower management treatment, or control) (Psi s > - 1.0 MPa, without-to-low water stress); T1 (low-to-mild water-stress treatment = - 1.0 > Psi s > - 1.5 MPa); and T2 (mild-to-severe water-stress treatment = - 1.5 > Psi s > - 2.0 MPa). The results indicated that the trees were more stressed in T2 than in T0. In the former, averages of Psi s and gs were - 1.75 MPa and 372 mmol m(-2) s(-1), whereas they were - 1.56 MPa and 427 mmol m(-2) s(-1) in T0. The piecewise model allowed determining the water-stress thresholds of almost all studied PI. The breakpoints yielded by this analysis indicated that trees at Psi s lower than - 1.5 MPa had a gs lower than 484 mmol m(-2) s(-1). These results also showed that TIR-based PI, whose equations incorporate a temperature normalization, are a better indicator of cherry tree water status than those without normalization. The derived TIR-based PI threshold values could be used as a reference for managing drip-irrigated 'Regina' cherry trees.

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Título según WOS: ID WOS:001174864700001 Not found in local WOS DB
Título de la Revista: IRRIGATION SCIENCE
Editorial: Springer
Fecha de publicación: 2024


Notas: ISI