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The pitfalls of water potential for irrigation scheduling

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  • García-Tejera, Omar
  • López-Bernal, Álvaro
  • Orgaz, Francisco
  • Testi, Luca
  • Villalobos, Francisco J.

Abstract

The water potential (Ψp), has been widely used as an indicator of plant water status for irrigation management purposes. The simple infrastructure needed for its measurement and its direct relation to basic plant physiological processes, have contributed to the popularity of the methodology. When used for irrigation scheduling, it is commonly assumed that an unavoidable relationship exists between plant transpiration (T), soil water content and Ψp. Nevertheless, it is worth remembering that variations in Ψp are not solely related to changes in soil water content, but are also an expression of the interaction between the plant and its environment. We used a soil-plant-atmosphere-continuum (SPAC) model to highlight the importance of considering such interactions through a series of in silico experiments. Our analysis shows that evaporative demand, the hydraulic architecture of the plant, and the texture and depth of the soil play key roles in the final Ψp observed. To establish irrigation programs based on Ψp, without considering the environmental and plant factors that influence it, can create the paradox of having a plant that suffers greater water stress even when high irrigation volumes are applied. The conclusions from our in silico analysis provide some warnings that should be considered when using Ψp to schedule irrigation.

Suggested Citation

  • García-Tejera, Omar & López-Bernal, Álvaro & Orgaz, Francisco & Testi, Luca & Villalobos, Francisco J., 2021. "The pitfalls of water potential for irrigation scheduling," Agricultural Water Management, Elsevier, vol. 243(C).
    • Handle: RePEc:eee:agiwat:v:243:y:2021:i:c:s0378377420300536
    DOI: 10.1016/j.agwat.2020.106522
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    References listed on IDEAS

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    1. Levin, Alexander D., 2019. "Re-evaluating pressure chamber methods of water status determination in field-grown grapevine (Vitis spp.)," Agricultural Water Management, Elsevier, vol. 221(C), pages 422-429.
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    1. Ahmed A. Abdelmoneim & Roula Khadra & Angela Elkamouh & Bilal Derardja & Giovanna Dragonetti, 2023. "Towards Affordable Precision Irrigation: An Experimental Comparison of Weather-Based and Soil Water Potential-Based Irrigation Using Low-Cost IoT-Tensiometers on Drip Irrigated Lettuce," Sustainability, MDPI, vol. 16(1), pages 1-15, December.
    2. Ramírez-Cuesta, J.M. & Ortuño, M.F. & Gonzalez-Dugo, V. & Zarco-Tejada, P.J. & Parra, M. & Rubio-Asensio, J.S. & Intrigliolo, D.S., 2022. "Assessment of peach trees water status and leaf gas exchange using on-the-ground versus airborne-based thermal imagery," Agricultural Water Management, Elsevier, vol. 267(C).
    3. Blanco, Victor & Kalcsits, Lee, 2023. "Long-term validation of continuous measurements of trunk water potential and trunk diameter indicate different diurnal patterns for pear under water limitations," Agricultural Water Management, Elsevier, vol. 281(C).
    4. Iglesias, Maria Agustina & Rousseaux, M. Cecilia & Agüero Alcaras, L. Martín & Hamze, Leila & Searles, Peter S., 2023. "Influence of deficit irrigation and warming on plant water status during the late winter and spring in young olive trees," Agricultural Water Management, Elsevier, vol. 275(C).
    5. Antonio Valente & Carlos Costa & Leonor Pereira & Bruno Soares & José Lima & Salviano Soares, 2022. "A LoRaWAN IoT System for Smart Agriculture for Vine Water Status Determination," Agriculture, MDPI, vol. 12(10), pages 1-17, October.

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