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Modeling the Oleic Acid Content in Sunflower Oil

^a Departamento de Producción Vegetal, Botánica, Polytechnic University of Madrid, Ciudad Universitaria, 28040 Madrid, Spain
^b Departamento de Matemática Aplicada, Polytechnic University of Madrid, Ciudad Universitaria, 28040 Madrid, Spain
^c Departamento de Edafología, Escuela Técnica Superior Ingenieros Agrónomos, Polytechnic University of Madrid, Ciudad Universitaria, 28040 Madrid, Spain

View larger version (37K): [in a new window]   Fig. 1. Main sunflower-producing areas selected: (1) West Andalucia (Córdoba, Sevilla, Málaga, and Cadiz), (2) East Andalucia (Jaén and Granada), (3) Albacete-Murcia, (4) Badajoz, (5) Toledo-Ciudad Real, (6) Cuenca-Guadalajara, (7) North plateau (Soria, Burgos, Valladolid, Palencia, Zamora, Salamanca, Avila, and Segovia), and (8) Ebro River basin (Logroño, Navarra, Zaragoza, and Lérida).

View larger version (16K): [in a new window]   Fig. 2. Residual plot of observed values for each model using: (A) geographical variables (Model I), (B) temperature variables (Model II), and (C) temperature and altitude variables (Model III).

View larger version (18K): [in a new window]   Fig. 3. Predicted vs. observed values of the data points used in model fitting according to each model: (A) Model I based on geographical variables (r2 = 0.97), (B) Model II based on temperature variables (r2 = 0.99), and (C) Model III based on temperature and altitude variables (r2 = 0.99).

View larger version (14K): [in a new window]   Fig. 4. Predicted vs. observed values of the eight data points not used in the model-fitting procedure: (A) using geographical variables (Model I), (B) using temperature variables (Model II), and (C) using temperature and altitude variables (Model III). Dotted line corresponds to y = x. The regression equation and r2 for each model are shown in the graph.