Evaluation of a peanut yield model as a tool for crop planning and management
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Abstract
Crop management and the evaluation of strategies for better agricultural crop performances may be successfully achieved by using crop growth models. In order to provide a peanut crop growth model for such purposes, experimental trials were developed in the area of Carnerillo and Río Cuarto in the Province of Córdoba, Argentina. Using experimental data from the crop, meteorological data, and soil data from three crop seasons for each area, the PNUTGRO V1.02 peanut crop growth model was calibrated. Model evaluations in both experimental sites have shown satisfactory estimations of the dates of the phenological stages. The error in estimating grain yield in Río Cuarto was 9.6 % and 18.8 % in Carnerillo. Errors in the simulation of the biomass were greater, up to 32 % in Río Cuarto and 16 % in Carnerillo. The goodness of the model, mainly in the simulation of the crop growth stages and the grain yield, shows the use of the model as promising.
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