Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/1271
Title: Eficiência do modelo ceres-maize na predição da produtividade de milho em áreas com presença de variabilidade espacial
Other Titles: Ceres-Maize model efficiency in corn yield prediction within spatial variable areas
Keywords: Zea mays L.
Modelagem
DSSAT
Model
Issue Date: 2005
Publisher: Universidade Federal de Lavras
Citation: HURTADO, S. M. C. PAGLIS, C. M. ; PINHO, R. G. von. Eficiência do modelo ceres-maize na predição da produtividade de milho em áreas com presença de variabilidade espacial. Ciência e Agrotecnologia, Lavras, v. 29, n.6. nov./dez. 2005.
Abstract: Simulation models are tools utilized for optimization of managements practices as well as to estimate crop yield. The present study aimed to test the efficiency of the CERES-maize model to simulate corn yield related to the field spatial variability. The experimental area was located at Federal University of Lavras, where experimental plots were established according to the variable areas of base saturation (V%), a parameter regarded as decisive in the observed yields. Data of maximum and minimum temperatures, rainfall and solar radiation; soil data in the 0-27, 27-45, 45-68, 68-80 and 80-100 cm layers to each experimental plot, management information of corn crop and genetic parameters of the corn hybrid, were collected. The simulation presented better results when the genetic parameters, particular to each plot, were utilized. Observed yield simulations were higher in areas of elevated base saturation. Due to that, it follows that the simulation was capable to estimate a trend of the distinguished yields as related to the spatial variables of the soil attribute (V%), obtaining more precise simulations with the use of the values of the genetic parameters estimated in each plot.
URI: http://repositorio.ufla.br/jspui/handle/1/1271
Appears in Collections:DAG - Artigos publicados em periódicos



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