Differentiation Parameters of Ribera del Duero Wines from Other Spanish Denominations of Origin
Silvia Pérez‐Magariño, M. L. Gonzlez-San Jos
Abstract
Silvia Pérez‐Magariño, M. L. Gonzlez-San Jos
Abstract
Commercial wines (247 samples) from different Spanish Denomination of Origin (D.O.) and from three consecutive vintages were analyzed. Stepwise discriminant analyses (SDA) were applied to the differentiation and classification of young red and rose wines by geographic origin. Good discriminant models with a small number of variables were obtained. These models gave high percentages of correct classification and prediction for both red (84.6% and 76.7%) and rose wines (87.7% and 82.6%). The variables with greater discriminating power were the phenolic compounds and the chromatic parameters. The discriminant models obtained to differentiate wines from D.O. “Ribera del Duero” were adequate with percentages of classification and prediction around 98%. So, these wines have some characteristics that differentiate them from the wines from other D.O.
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Commercial wines (247 samples) from different Spanish Denomination of Origin (D.O.) and from three consecutive vintages were analyzed. Stepwise discriminant analyses (SDA) were applied to the differentiation and classification of young red and rose wines by geographic origin. Good discriminant models with a small number of variables were obtained. These models gave high percentages of correct classification and prediction for both red (84.6% and 76.7%) and rose wines (87.7% and 82.6%). The variables with greater discriminating power were the phenolic compounds and the chromatic parameters. The discriminant models obtained to differentiate wines from D.O. “Ribera del Duero” were adequate with percentages of classification and prediction around 98%. So, these wines have some characteristics that differentiate them from the wines from other D.O.
Key concepts: Linear discriminant analysis, Mathematics, Statistics, Food science, Chemistry