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Modeling of corn yield in Brazil as a function of meteorological conditions and technological level PAB
Monteiro,José Eduardo Boffino de Almeida; Assad,Eduardo Delgado; Sentelhas,Paulo Cesar; Azevedo,Letícia da Costa.
Abstract: The objective of this work was to develop and evaluate a method for estimating corn yield using a minimum number of parameters and limited information about crop management. The proposed method estimates potential and attainable yields based on the technological level of the production systems and on relatively simple agrometeorological models. Corn yield was estimated for the crop seasons from 2000/2001 to 2007/2008, considering several locations and regions in Brazil, and was compared with the actual yield data from official surveys. There was a high correlation between the estimated and observed yield (0.76≤R2<0.92; p<0.01), with model efficiency (E1’) ranging from 0.45 to 0.73; mean relative error (MRE) between -0.9 and 2.4%; and mean...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Zea mays; Large-area crop modeling; Paremetrization; Risk analysis; Technological potential yield; Yield forecast.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017000300137
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Rice yield estimation based on weather conditions and on technological level of production systems in Brazil PAB
Monteiro,José Eduardo Boffino de Almeida; Azevedo,Letícia da Costa; Assad,Eduardo Delgado; Sentelhas,Paulo Cesar.
The objective of this work was to evaluate an estimation system for rice yield in Brazil, based on simple agrometeorological models and on the technological level of production systems. This estimation system incorporates the conceptual basis proposed by Doorenbos &amp; Kassam for potential and attainable yields with empirical adjusts for maximum yield and crop sensitivity to water deficit, considering five categories of rice yield. Rice yield was estimated from 2000/2001 to 2007/2008, and compared to IBGE yield data. Regression analyses between model estimates and data from IBGE surveys resulted in significant coefficients of determination, with less dispersion in the South than in the North and Northeast regions of the country. Index of model...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Crop simulation model; Crop yield forecast; Model efficiency; Water deficit.
Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2013000200001
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