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The performance of the CROPGRO model for bean (Phaseolus vulgaris L.) yield simulation Translated title: Desempenho do modelo CROPGRO-Dry bean na simulação do rendimento de feijão (Phaseolus vulgaris L.)

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      Abstract

      The aim of this study was to evaluate the CROPGRO-Dry bean model for simulating dry bean yield. The model's genetic coefficients were calibrated based on the cultivars 'Pérola', 'Ouro Negro' and 'Ouro Vermelho' in Viçosa, State of Minas Gerais, Brazil. The coefficients were adjusted based on two experiments that were performed in 2003 with irrigated and nonirrigated water regimes. An additional experiment with irrigation was conducted in 2004. After calibration, the model simulated the bean yield for the period from 1975 through 2006. The simulations were based on daily data on maximum and minimum air temperatures, total precipitation and global solar radiation. The physical and hydric characteristics of the soil and crop management practices were also included. The results show that the crop model can correctly reproduce the observed yield. This finding may indicate that the model is a useful tool to evaluate the crop response to variability and changing climate.

      Translated abstract

      O presente trabalho teve como objetivo avaliar o modelo CROPGRO-Dry bean como ferramenta de previsão de rendimento de feijão (Phaseolus vulgaris L.), tendo como base as cultivares 'Pérola', 'Ouro Negro' e 'Ouro Vermelho', cultivados em Viçosa, Estado de Minas Gerais. O ajuste dos coeficientes genéticos do modelo foi obtido a partir de dois experimentos realizados em 2003, um conduzido com irrigação e outro em condições de sequeiro. Além destes, outro experimento foi conduzido em 2004, com irrigação. Após o ajuste dos coeficientes, realizou-se a simulação do rendimento do feijoeiro com base em dados de 31 safras entre o período de 1975 a 2006. As simulações foram baseadas em dados meteorológicos diários de temperaturas máxima e mínima do ar, precipitação pluvial e radiação solar global, características físico-hídricas do solo e dados de manejo da cultura. Por meio das análises realizadas nas simulações, verificou-se que o modelo mostrou-se viável como ferramenta para a previsão de rendimento do feijão, obtendo-se estimativa adequada de rendimento com 30 dias de antecedência da colheita.

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      Most cited references 28

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      Levantamento sistemático da produção agrícola

      (2012)
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        Application of the CSM-CERES-Maize model for planting date evaluation and yield forecasting for maize grown off-season in a subtropical environment

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          Estimating millet production for famine early warning: an application of crop simulation modelling using satellite and ground-based data in Burkina Faso

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            Author and article information

            Affiliations
            [1 ] Instituto Federal de Educação, Ciência e Tecnologia do Espirito Santo Brazil
            [2 ] Universidade Federal de Viçosa Brazil
            [3 ] Empresa de Pesquisa Agropecuária de Minas Gerais Brazil
            [4 ] Embrapa Brazil
            [5 ] Instituto Federal de Santa Catarina Brazil
            Contributors
            Role: ND
            Role: ND
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            Role: ND
            Journal
            asagr
            Acta Scientiarum. Agronomy
            Acta Sci., Agron.
            Editora da Universidade Estadual de Maringá - EDUEM (Maringá )
            1807-8621
            September 2012
            : 34
            : 3
            : 239-246
            S1807-86212012000300002
            10.1590/S1807-86212012000300002

            http://creativecommons.org/licenses/by/4.0/

            Product
            Product Information: SciELO Brazil
            Categories
            AGRONOMY

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