A soil water indicator for a dynamic model of crop and soil water interaction

Water scarcity is a critical issue in agriculture, and the development of reliable methods for determining soil water content is crucial for effective water management. This study proposes a novel, theoretical, non-physiological indicator of soil water content obtained by applying the next-generatio...

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Main Authors: Edwin Duque-Marín, Alejandro Rojas-Palma, Marcos Carrasco-Benavides
Format: Article
Language:English
Published: AIMS Press 2023-06-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023618?viewType=HTML
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author Edwin Duque-Marín
Alejandro Rojas-Palma
Marcos Carrasco-Benavides
author_facet Edwin Duque-Marín
Alejandro Rojas-Palma
Marcos Carrasco-Benavides
author_sort Edwin Duque-Marín
collection DOAJ
description Water scarcity is a critical issue in agriculture, and the development of reliable methods for determining soil water content is crucial for effective water management. This study proposes a novel, theoretical, non-physiological indicator of soil water content obtained by applying the next-generation matrix method, which reflects the water-soil-crop dynamics and identifies the minimum viable value of soil water content for crop growth. The development of this indicator is based on a two-dimensional, nonlinear dynamic that considers two different irrigation scenarios: the first scenario involves constant irrigation, and the second scenario irrigates in regular periods by assuming each irrigation as an impulse in the system. The analysis considers the study of the local stability of the system by incorporating parameters involved in the water-soil-crop dynamics. We established a criterion for identifying the minimum viable value of soil water content for crop growth over time. Finally, the model was calibrated and validated using data from an independent field study on apple orchards and a tomato crop obtained from a previous field study. Our results suggest the advantages of using this theoretical approach in modeling the plants' conditions under water scarcity as the first step before an empirical model. The proposed indicator has some limitations, suggesting the need for future studies that consider other factors that affect soil water content.
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spelling doaj.art-c787a84fd8b34ea994a3df7b8e3843ba2023-07-11T01:34:59ZengAIMS PressMathematical Biosciences and Engineering1551-00182023-06-01208138811389910.3934/mbe.2023618A soil water indicator for a dynamic model of crop and soil water interactionEdwin Duque-Marín 0Alejandro Rojas-Palma 1Marcos Carrasco-Benavides21. Doctorado en Modelamiento Matemático Aplicado, Facultad de Ciencias Básicas, Universidad Católica del Maule, Talca 3460000, Chile1. Doctorado en Modelamiento Matemático Aplicado, Facultad de Ciencias Básicas, Universidad Católica del Maule, Talca 3460000, Chile 2. Departamento de Matemática, Física y Estadística, Facultad de Ciencias Básicas, Universidad Católica del Maule, Talca 3460000, Chile1. Doctorado en Modelamiento Matemático Aplicado, Facultad de Ciencias Básicas, Universidad Católica del Maule, Talca 3460000, Chile3. Departamento de Ciencias Agrarias, Facultad de Ciencias Agrarias y Forestales, Universidad Católica del Maule, Curicó 3340000, ChileWater scarcity is a critical issue in agriculture, and the development of reliable methods for determining soil water content is crucial for effective water management. This study proposes a novel, theoretical, non-physiological indicator of soil water content obtained by applying the next-generation matrix method, which reflects the water-soil-crop dynamics and identifies the minimum viable value of soil water content for crop growth. The development of this indicator is based on a two-dimensional, nonlinear dynamic that considers two different irrigation scenarios: the first scenario involves constant irrigation, and the second scenario irrigates in regular periods by assuming each irrigation as an impulse in the system. The analysis considers the study of the local stability of the system by incorporating parameters involved in the water-soil-crop dynamics. We established a criterion for identifying the minimum viable value of soil water content for crop growth over time. Finally, the model was calibrated and validated using data from an independent field study on apple orchards and a tomato crop obtained from a previous field study. Our results suggest the advantages of using this theoretical approach in modeling the plants' conditions under water scarcity as the first step before an empirical model. The proposed indicator has some limitations, suggesting the need for future studies that consider other factors that affect soil water content.https://www.aimspress.com/article/doi/10.3934/mbe.2023618?viewType=HTMLindicatorimpulsive irrigationmathematical modelvegetative growthwater scarcity
spellingShingle Edwin Duque-Marín
Alejandro Rojas-Palma
Marcos Carrasco-Benavides
A soil water indicator for a dynamic model of crop and soil water interaction
Mathematical Biosciences and Engineering
indicator
impulsive irrigation
mathematical model
vegetative growth
water scarcity
title A soil water indicator for a dynamic model of crop and soil water interaction
title_full A soil water indicator for a dynamic model of crop and soil water interaction
title_fullStr A soil water indicator for a dynamic model of crop and soil water interaction
title_full_unstemmed A soil water indicator for a dynamic model of crop and soil water interaction
title_short A soil water indicator for a dynamic model of crop and soil water interaction
title_sort soil water indicator for a dynamic model of crop and soil water interaction
topic indicator
impulsive irrigation
mathematical model
vegetative growth
water scarcity
url https://www.aimspress.com/article/doi/10.3934/mbe.2023618?viewType=HTML
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