Multisite evaluation of microtensiometer and osmotic cell stem water potential sensors in almond orchards
Isaya Kisekka, Srinivasa Rao Peddinti, Peter Savchik, Liyuan Yang, Mae Culumber, Khalid Bali, L. Milliron, Erica Edwards, Mallika Nocco, Clarissa Reyes, Robert F. Mahoney, Kenneth A. Shackel, Allan Fulton
Abstract
• Microtensiometer SWP sensors tracked almond tree response to irrigation management. • Microtensiometer performance ranged from good to acceptable versus the pressure chamber. • Osmometer performance ranged from good to unacceptable versus the pressure chamber. • Microtensiometer diurnal SWP patterns provided new insights into almond water dynamics. In the face of climate change, optimization of almond irrigation management is critical for ensuring the long-term sustainability of nut production and water resources. To achieve optimal irrigation management, continuous monitoring of the plant water status is critical in scheduling irrigation. It is a widely accepted practice to use stem water potential (SWP) as a measure of plant water status in woody perennials like almonds. However, the pressure chamber (PC) commonly used to make these measurements is labor-intensive and does not provide continuous data without significant additional labor. In this study, we evaluated two recently developed stem water potential sensors (Microtensiometer [MT], and Osmotic Cell [OC]), both of which can measure the SWP nearly continuously when embedded in stem sapwood tissue (typically in the trunk or branch of a tree). SWP sensors were evaluated in nine commercial almond orchards in the Central Valley of California. The SWP values obtained from both sensors were compared to the values measured using a PC using statistical software called FITEVAL. Overall, sensor performance varied from good to acceptable and from acceptable to unacceptable for MT and OC sensors respectively. The MT sensors demonstrated higher accuracy with a Nash-Sutcliff Coefficient of Efficiency (NSE) of 0.84 (95 % CI: 0.78–0.88) and a Root Mean Square Error (RMSE) of −0.24 MPa (95 % CI: −0.21 to −0.28 MPa), while the OC sensor had an NSE of 0.68 (95 % CI: 0.61–0.74) and an RMSE of −0.32 MPa (95 % CI: −0.29 to −0.35 MPa). MT sensors exhibited the added advantage of providing sub-hourly data and displaying tree recovery from water stress following irrigation, positioning them as potentially superior for precision almond orchard water management. If widely adopted, SWP sensors have the potential to optimize water use in almond production.