Temporary variation of the sensitivity indices of a crop model for tomato in greenhouse
Variación temporal de los índices de sensibilidad de un modelo de cultivo para jitomate en invernadero
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Decision support systems (DSS) are tools that can be based on a crop model and are used to manage certain aspects in an agro-system such as: irrigation scheduling, climate control, fertilization, and yields. HORTSYST is a dynamic growth model, developed to be implemented in an expert system to manage irrigation and crop nutrition in intensive systems. It has 16 parameters, three state variables: dry matter production (DMP), photothermal index (PTI) and absorbed nitrogen (Nup), besides two output variables; Crop transpiration (ETc) and Leaf Area Index (LAI). The inputs of the model are: Global solar radiation (Rg), air temperature (Ta) and relative humidity (Hr). The simulations of HORTSYST model are based on estimation of a photothermal index. Which represents the development time of crop, which LAI is calculated. ETc is estimated with a mass and energy balance equation. DMP is determined with the radiation use efficiency (RUE) approach and Nup is calculated with dilution curve of nitrogen content in DMP. The objective of this work is to perform a global sensitivity analysis using the Sobol´s method, to know the importance of each parameter in the output variables at ten days after transplantation (DDT), during the vegetative stages (25 DDT), beginning of fruiting (40 DDT), harvest (80 DDT) and at the end (119 DDT) of the tomato crop cycle (Solanum lycopersicum L.), grown hydroponically in a greenhouse during spring-summer. It was found that the main and total effect indices, as a measure of the influence of the parameters, do not follow an established order as the crop cycle progresses. This temporal variation is a function of the stage of development and should be considered when conducting a sensitivity analysis.
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