Ajuste e teste dos coeficientes genéticos do modelo de simulação Cropgro-soybean, para a região Noroeste do Estado do Paraná - DOI: 10.4025/actasciagron.v27i2.1857

Rivanildo Dallacort; Paulo Sérgio Lourenço de Freitas; Rogério Teixeira de Faria; Antonio Carlos Andrade de Gonçalves; Roberto Rezende; Altair Bertonha; Celso Helbel Júnior

doi:10.4025/actasciagron.v27i2.1857

Genetic coefficients adjustments and tests of Cropgro-soybean simulation model for the northwestern of Paraná State, Brazil - DOI: 10.4025/actasciagron.v27i2.1857

Rivanildo Dallacort UNEMAT
Paulo Sérgio Lourenço de Freitas UEM
Rogério Teixeira de Faria IAPAR
Antonio Carlos Andrade de Gonçalves UEM
Roberto Rezende UEM
Altair Bertonha UEM
Celso Helbel Júnior UEM

DOI: https://doi.org/10.4025/actasciagron.v27i2.1857

Abstract

Simulation models are tools that generate sceneries, considering the several combinations of factors that influence on crop productivity. Cropgrowith models provide with questions involving research, crop handling and planning. This is helpful to understand the genetic, physiologic and environmental interactions. It is also useful at decisions involving cultural practices before and during the field stage of crop, as fertilizer application and irrigation. This study was developed for Palotina region, Paraná state, (24º17' S of latitude, 53º50'30'' of longitude and 333 m of altitude). To simulate growth and development of soybean crop (Glycine max (L) Merrill), Cropgro-soybean simulation model was utilized. Genetic coefficients calibration was done to CD 202, CD 204, CD 206 and CD 210 soybean cultivars, cultivated in Palotina region, Paraná state. After calibration, a simulation of soybean productivity for sowing in November 1st was carried out. The aim was to test the calibrated coefficients in the 25 harvests between 1974 and 1999. According to the analysis, the model presented high sensibility to genetic coefficient variation of the studied cultivars. Rainfall distribution is one of the factors that mostly influenced the Leaf Area Index and productivity. This means that the model strongly penalizes in water deficit conditions. Maximum productivity potential of the four cultivars, for Palotina region, was approximately 3573 kg ha^-1.

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Author Biography

Rivanildo Dallacort, UNEMAT

Graduação em Engenharia Agrícola pela Universidade Estadual do Oeste do Paraná (2003) Mestrado em Agronomia pela Universidade Estadual de Maringá (2004) Doutorado em Agronômia pela Universidade Estadual de Maringá (2006) Atualmente é: - Professor titular da Universidade do Estado de Mato Grosso - Membro Comitê Científico Universidade do Estado de Mato Grosso Atuante na área de Engenharia Agrícola, atuando principalmente nos seguintes temas: agrometeorologia, modelagem agrometeorológica, soja, feijão, modelos de simulação, balanço da água no solo, irrigação, recursos hídricos e meio ambiente Currículo Lattes

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Published

2008-04-07

How to Cite

Dallacort, R., Freitas, P. S. L. de, Faria, R. T. de, Gonçalves, A. C. A. de, Rezende, R., Bertonha, A., & Helbel Júnior, C. (2008). Genetic coefficients adjustments and tests of Cropgro-soybean simulation model for the northwestern of Paraná State, Brazil - DOI: 10.4025/actasciagron.v27i2.1857. Acta Scientiarum. Agronomy, 27(2), 363-371. https://doi.org/10.4025/actasciagron.v27i2.1857

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Issue

Vol 27 No 2 (2005)

Section

Engineering

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