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Use of dynamic simulation and Forrester diagrams to describe the growth of lettuce (Lactuca sativa L.) under field conditions
Uso de simulación dinámica y diagramas de Forrester para describir el crecimiento de lechuga (Lactuca sativa L.) en condiciones de campo
DOI:
https://doi.org/10.15446/agron.colomb.v42n1.111795Keywords:
state variables, maximum system capacity, Vensim (en)variables de estado, máxima capacidad del sistema, Vensim (es)
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The use of computational tools to describe some processes of crop growth has evolved in recent decades and remains an area of active research, where more and more applications are incorporated with the integration of a greater number of mathematical tools, statistics, and computational calculation efficiency, simplifying the tasks of modeling and visualizing the components of the system used. The present research proposes a dynamic growth model for lettuce cultivation using Forrester diagrams to evaluate different scenarios involving five growth functions and five lettuce cultivars in field conditions of the Bailadores region (Venezuelan Andes, 2550 m a.s.l.). The lettuce variety Coastal Star achieved the greatest accumulation of dry matter used as a response in each model. The logistics of growth function was properly adjusted to the experimental data compared to the other models. The proposed diagram model can be used as a basis for the construction of more complex models that incorporate other physiological variables of the crop and the growth environment.
El uso de herramientas computacionales para describir algunos procesos del crecimiento de los cultivos ha evolucionado en las últimas décadas y sigue siendo un área de investigación activa, donde se incorporan cada vez más aplicaciones con la integración de una mayor cantidad de herramientas matemáticas, estadísticas y de eficiencia de cálculo computacional, simplificando las tareas de modelado y las de visualización de los componentes del sistema utilizado. La presente investigación propone para el cultivo de lechuga un modelo de crecimiento dinámico utilizando diagramas de Forrester, para evaluar diferentes escenarios involucrando cinco funciones de crecimiento y cinco variedades de lechuga en condiciones de campo de la región de Bailadores (Andes venezolanos, 2550 m s.n.m). La variedad de lechuga Coastal Star fue la que logró la mayor acumulación de materia seca (usada como respuesta en cada modelo). Se encontró que la función de crecimiento logístico ajustó adecuadamente los datos experimentales en comparación con los otros modelos. El modelo diagramado propuesto puede ser usado como base para la construcción de modelos más complejos que incorporen otras variables fisiológicas y el ambiente del cultivo.
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