Wine Quantity and Quality Variations in Relation to Climatic Factors in the Tokaj (Hungary) Winegrowing Region

The effects of climatic elements on wine quantity and quality for the winegrowing region of Tokaj-Hegyalja, Hungary, were analyzed. By applying the Makra test, significant breaks were detected in both the wine quantity and wine quality data sets. Analysis of the relationship between climatic variables and wine quantity and quality, using different statistical methods, confirmed that the most important factors of wine quantity are hours of sunshine in May, June, July, and August and precipitation in September. For wine qualilty, mean temperature, precipitation, and hours of sunshine in May and September play key roles in addition to precipitation in July and hours of sunshine in August. The role of climate in September is most important, since aszu ( Botrytis ) formation, as an important component of wine quality, depends largely on conditions during September. Results indicate that the significant variables obtained by factor analysis better explain linear relationships between climate and wine quantity and quality than those obtained by the χ2 test. Seven objective vintage climate types were defined using the methods of factor and cluster analysis. Results show that the classification of vintage climate types is more effective in explaining variations in wine quantity than variations in wine quality. Overall, the research identifies the characteristics and importance of the climatic variables with significant relationships with wine quantity and quality in the region. The results are useful in applying quantity and quality assessment strategies for wine production in the region.

[1]  Robert E. Davis,et al.  Climate Influences on Grapevine Phenology, Grape Composition, and Wine Production and Quality for Bordeaux, France , 2000, American Journal of Enology and Viticulture.

[2]  Ian T. Jolliffe,et al.  Principal component analysis: A beginner's guide — II. Pitfalls, myths and extensions , 1993 .

[3]  Y. Cohen,et al.  Use of thermal and visible imagery for estimating crop water status of irrigated grapevine. , 2006, Journal of experimental botany.

[4]  Michael R. Anderberg,et al.  Cluster Analysis for Applications , 1973 .

[5]  Z. Sümeghy,et al.  An objective classification system of air mass types for Szeged, Hungary, with special interest in air pollution levels , 2006 .

[6]  R. Pongrácz,et al.  Analysis of expected climate change in the Carpathian Basin using the PRUDENCE results , 2008 .

[7]  W. Jahn,et al.  Die Faktoranalyse und ihre Anwendung , 1970 .

[8]  R. Pongrácz,et al.  Long term climate deviations: an alternative approach and application on the Palmer drought severity index in Hungary , 2002 .

[9]  Rui Menezes,et al.  Mutual information: a measure of dependency for nonlinear time series , 2004 .

[10]  J. Tondut,et al.  Climate trends in a specific Mediterranean viticultural area between 1950 and 2006 , 2008 .

[11]  H. Milionis,et al.  Effect of Meteorological Parameters on Acute Laryngitis in Adults , 2002, Acta oto-laryngologica.

[12]  K. Storchmann,et al.  Wine market prices and investment under uncertainty: an econometric model for Bordeaux Crus Classs , 2001 .

[13]  E. Maasoumi,et al.  A Dependence Metric for Possibly Nonlinear Processes , 2004 .

[14]  M. A. White,et al.  Climate Change and Global Wine Quality , 2005 .

[15]  S. Orlandini,et al.  Analysis of Italian Wine Quality Using Freely Available Meteorological Information , 2006, American Journal of Enology and Viticulture.

[16]  I. Jolliffe Principal Component Analysis , 2002 .

[17]  Ian T. Jolliffe,et al.  PRINCIPAL COMPONENT ANALYSIS: A BEGINNER'S GUIDE — I. Introduction and application , 1990 .

[18]  P. Mahalanobis On the generalized distance in statistics , 1936 .

[19]  Paul R. Petrie,et al.  Climate drivers of red wine quality in four contrasting Australian wine regions , 2008 .

[20]  C. Field,et al.  Historical effects of temperature and precipitation on California crop yields , 2007 .

[21]  J. H. Ward Hierarchical Grouping to Optimize an Objective Function , 1963 .

[22]  H. A. Quamme,et al.  Weather conditions associated with grape production in the Okanagan Valley of British Columbia and potential impact of climate change , 2002 .

[23]  D. Greer,et al.  Effect of Climate on Vine and Bunch Characteristics: Bunch Rot Disease Susceptibility , 2008 .

[24]  J. Hair Multivariate data analysis , 1972 .

[25]  H. Enke Jahn, W., und H. Vahle: Die Faktoranalyse und ihre Anwendung. Verlag Die Wirtschaft, Berlin 1970. 228 S., 15 Abb., 92 Tab., Preis 13,— M , 1971 .