Abstract
The performance of the CROPGRO-Drybean model for the prediction of soil water balance, as well as growth components and bean crop yield, was assessed using data from two field experiments conducted at the State University of Maringa Iirrigation Technical Center, Parana, Brazil, (latitude 23o27'S, longitude 51o57' and altitude 542 m) during the 2005 and 2006 growing seasons. This assessment aimed to analyze growth components, evapotranspiration and bean crop yield for the edaphoclimatic conditions of the area as simulated by the CROPGRO-Drybean model. This is a model for legumes, and it is grouped in a Decision Support System for Agrotechnology Transference (DSSAT). The model simulates growth, development and yield components of beans as a function of daily climatologic elements for each soil's specific conditions. It is possible to affirm that water deficit during flowering caused the model to penalize yield severely. It showed discrepant values in leaf area index simulation, and also accentuated discrepancies between measured and simulated values of soil moisture on the day following rainfall. Correlations between measured and simulated values of soil moisture exceeded 70% in both experiments. Yield was underestimated by the model in both experiments.
Highlights
Growth simulation models are valuable tools for estimating crop yield, considering various combinations of crop input, environmental factors and management practices
Agronomy as dynamic and mechanistic because they describe daily changes in the plant state variables, considering the main morphophysiological processes that occur during the period of simulation.Using simulations, the most suitable strategies can be assessed for each specific condition, such as irrigation management strategies, which can be simulated to predict effects on crop yield, and hydrologic components, such as evapotranspiration and crop water requirements
Moisture simulated by the CROPGRO-Drybean model showed great variations in amounts when compared to moisture measured through TDR (Figure 2)
Summary
Growth simulation models are valuable tools for estimating crop yield, considering various combinations of crop input, environmental factors and management practices. Evangelista et al (2006) evaluated the performance of the CLIGEN model in generating the climatic elements to utilize as input parameters for hydrological and agronomical models, comparing the generated values of climatic elements with the observed values. They concluded that the model showed good performance in generating climatic elements
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