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	Provedor de dados Agronomy (2) Autor Rolim, Glauco de Souza (2) Caporusso, Natália Buzinaro (1) Moreto, Victor Brunini (1) Palavra-chave 5.01.00.00-9 model (1) Agrometeorologia 5.01.05.00-0 crop model (1) Penman-monteith (1) Prediction (1) Priestley and Taylor (1) Production. agrometeorologia (1) Tanner and Pelton (1) Thornthwaite irrigação e drenagem (1) Water balance (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2015 (1) 2014 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Reference evapotranspiration models using different time scales in the Jaboticabal region of São Paulo, Brazil Agronomy Caporusso, Natália Buzinaro; Rolim, Glauco de Souza. The aim of this paper is to compare 18 reference evapotranspiration models to the standard Penman-Monteith model in the Jaboticabal, São Paulo, region for the following time scales: daily, 5-day, 15-day and seasonal. A total of 5 years of daily meteorological data was used for the following analyses: accuracy (mean absolute percentage error, Mape), precision (R2) and tendency (bias) (systematic error, SE). The results were also compared at the 95% probability level with Tukey’s test. The Priestley-Taylor (1972) method was the most accurate for all time scales, the Tanner-Pelton (1960) method was the most accurate in the winter, and the Thornthwaite (1948) method was the most accurate of the methods that only used temperature data in the equations.  Tipo: Info:eu-repo/semantics/article Palavras-chave: 5.01.00.00-9 model; Penman-monteith; Priestley and Taylor; Tanner and Pelton; Thornthwaite irrigação e drenagem. Ano: 2014 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/18277 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 Registros recuperados: 2 Primeira ... 1 ... Última

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