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Agrometeorological models for groundnut crop yield forecasting in the Jaboticabal, São Paulo State region, Brazil Agronomy
Moreto, Victor Brunini; Rolim, Glauco de Souza.
Forecast is the act of estimating a future event based on current data. Ten-day period (TDP) meteorological data were used for modeling: mean air temperature, precipitation and water balance components (water deficit (DEF) and surplus (EXC) and soil water storage (SWS)). Meteorological and yield data from 1990-2004 were used for calibration, and 2005-2010 were used for testing. First step was the selection of variables via correlation analysis to determine which TDP and climatic variables have more influence on the crop yield. The selected variables were used to construct models by multiple linear regression, using a stepwise backwards process. Among all analyzed models, the following was notable: Yield = - 4.964 x [SWS of 2° TDP of December of the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Agrometeorologia 5.01.05.00-0 crop model; Water balance; Prediction; Production. agrometeorologia.
Ano: 2015 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/19766
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