Upgrading and validating a soil water balance model to predict stem water potential in vineyards

Consultable a partir de

2026-12-15

Date

2024-12-15

Authors

Mirás-Ávalos, José M.
Escalona, José M.
Pérez-Álvarez, Eva Pilar
Romero Azorín, Pascual
Botia, Pablo
Navarro, Josefa
Uriarte, David
Intrigliolo, Diego S.

Director

Publisher

Elsevier
Acceso embargado / Sarbidea bahitua dago
Artículo / Artikulua
Versión aceptada / Onetsi den bertsioa

Project identifier

  • AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PDC2021-121210-C21/ES/ recolecta
  • AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PDC2021-121210-C22/ES/ recolecta
Impacto

Abstract

Efficient water management is pivotal for viticulture sustainability. Decision support tools can advise on how to optimize irrigation or on the feasibility of growing grapes in rainfed conditions, but reliable algorithms for assessing vine water status are required. In this context, the aim of the current study was to upgrade a soil water balance model specific for vineyards by incorporating meteorological, soil and vine vigor in equations that transform the fraction of transpirable soil water into midday stem water potential (Ψstem). The model's sensitivity to variations in the magnitude of input parameters was analyzed. Furthermore, the model was tested in a broad scope of Spanish vineyards with different grapevine cultivars (both red and white), rootstocks, plant age, soil and climatic conditions, and water regimes, totaling 129 scenarios. The model was only slightly sensitive to variations in the magnitude of most inputs, except for the fraction of transpirable water at which leaf stomatal conductance begin to decline. Moreover, the model satisfactorily reproduced the evolution of Ψstem over the growing season, although it slightly overestimated the measured ¿stem values, as the slopes of the fitted regression lines were lesser than 1 on most occasions, 76 out of 129. Nonetheless, the coefficients of determination for these relationships were greater than 0.9, except for 21 datasets. Mean errors averaged 0.024 ± 0.015 MPa, while root mean square errors averaged 0.27 ± 0.01 MPa. The index of agreement was greater than 0.75 in 51 datasets, with only three datasets showing an index of agreement lower than 0.5. Nevertheless, the deviations between observed and simulated Ψstem values did not alter the classification of the water stress undergone by grapevines. This upgraded model could constitute the core of a decision support system for water management in vineyards, applicable to both rainfed and irrigated conditions.

Description

Keywords

Evapotranspiration, Modelling, Stem water potential, Sustainable viticulture

Department

Agronomía, Biotecnología y Alimentación / Agronomia, Bioteknologia eta Elikadura / Institute for Multidisciplinary Research in Applied Biology - IMAB

Faculty/School

Degree

Doctorate program

item.page.cita

Mirás-Avalos, J. M., Escalona, J. M., Pérez-Álvarez, E. P., Romero, P., Botia, P., Navarro, J., Torres, N., Santesteban, L. G., Uriarte, D., Intrigliolo, D. S., Buesa, I. (2024). Upgrading and validating a soil water balance model to predict stem water potential in vineyards. Agricultural and Forest Meteorology, 359, 1-15. https://doi.org/10.1016/j.agrformet.2024.110281.

item.page.rights

© 2024 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0.

Licencia

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