Calibración y validación del modelo Aquacrop para tomate industrial (Solanum Lycopersicum)
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Date
2025
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Publisher
Universidad de Concepción
Abstract
El estudio se centra en la calibración y validación del modelo AquaCrop para el cultivo de tomate industrial (Solanum lycopersicum), abordando la importancia del tomate a nivel mundial y los desafíos que enfrenta la producción agrícola debido a la variación climática. Se llevó a cabo en el fundo San Antonio, San Carlos, Chile, en la temporada 2023-2024, utilizando un diseño experimental que incluyó riego por goteo, seguimiento del desarrollo del cultivo y un muestreo representativo del sitio experimental. El objetivo principal fue demostrar que AquaCrop puede predecir la cobertura de canopia, biomasa y el rendimiento del tomate con un margen de error inferior al 10%. Los resultados mostraron un NRMSE de 9,48% para la cobertura de canopia, indicando buena precisión, aunque el modelo sobrestimó el rendimiento y la biomasa final, con NRMSE de 46,7% y 18,71%, respectivamente. A pesar de estas discrepancias, la simulación de biomasa fue considerada aceptable, mientras que la del rendimiento fue deficiente, sugiriendo que la variedad de tomate utilizada podría influir en estas diferencias. Además, se evaluó la eficiencia del uso del agua (WUE), encontrando que una aplicación de agua excesiva puede aumentar el rendimiento, pero disminuir la eficiencia de su uso. En conclusión, aunque AquaCrop es efectivo para simular la cobertura de canopia, se requiere más temporadas de validación para los parámetros de rendimiento y biomasa.
This study focuses on the calibration and validation of the AquaCrop model for processing tomato cultivation (Solanum lycopersicum), addressing the global importance of tomatoes and the challenges faced by agricultural production due to climate variation. It was conducted at the San Antonio farm, San Carlos, Chile, during the 2023-2024 agricultural season, using an experimental design that included drip irrigation, monitoring of crop development, and representative sampling of the experimental site. The main objective was to demonstrate that AquaCrop can predict canopy cover, biomass, and tomato yield with an error margin of less than 10%. The results showed an NRMSE of 9.48% for canopy cover, indicating good accuracy, although the model overestimated yield and final biomass, with NRMSE of 46.7% and 18.71%, respectively. Despite these discrepancies, biomass simulation was considered acceptable, while yield simulation was poor, suggesting that the tomato variety used could influence these differences. Additionally, water use efficiency (WUE) was evaluated, finding that excessive water application can increase yield but decrease water use efficiency. In conclusion, although AquaCrop is effective in simulating canopy cover, more validation seasons are required for yield and biomass parameters.
This study focuses on the calibration and validation of the AquaCrop model for processing tomato cultivation (Solanum lycopersicum), addressing the global importance of tomatoes and the challenges faced by agricultural production due to climate variation. It was conducted at the San Antonio farm, San Carlos, Chile, during the 2023-2024 agricultural season, using an experimental design that included drip irrigation, monitoring of crop development, and representative sampling of the experimental site. The main objective was to demonstrate that AquaCrop can predict canopy cover, biomass, and tomato yield with an error margin of less than 10%. The results showed an NRMSE of 9.48% for canopy cover, indicating good accuracy, although the model overestimated yield and final biomass, with NRMSE of 46.7% and 18.71%, respectively. Despite these discrepancies, biomass simulation was considered acceptable, while yield simulation was poor, suggesting that the tomato variety used could influence these differences. Additionally, water use efficiency (WUE) was evaluated, finding that excessive water application can increase yield but decrease water use efficiency. In conclusion, although AquaCrop is effective in simulating canopy cover, more validation seasons are required for yield and biomass parameters.
Description
Tesis presentada para optar al título de Ingeniero Agrónomo
Keywords
Tomate (planta) - Calidad, Tomates - Crecimiento, Biomasa