Seasonal differences in climate in the Chianti region of Tuscany and the relationship to vintage wine quality.

Climatic factors and weather type frequencies affecting Tuscany are examined to discriminate between vintages ranked into the upper- and lower-quartile years as a consensus from six rating sources of Chianti wine during the period 1980 to 2011. These rankings represent a considerable improvement on any individual publisher ranking, displaying an overall good consensus for the best and worst vintage years. Climate variables are calculated and weather type frequencies are matched between the eight highest and the eight lowest ranked vintages in the main phenological phases of Sangiovese grapevine. Results show that higher heat units; mean, maximum and minimum temperature; and more days with temperature above 35 °C were the most important discriminators between good- and poor-quality vintages in the spring and summer growth phases, with heat units important during ripening. Precipitation influences on vintage quality are significant only during veraison where low precipitation amounts and precipitation days are important for better quality vintages. In agreement with these findings, weather type analysis shows good vintages are favoured by weather type 4 (more anticyclones over central Mediterranean Europe (CME)), giving warm dry growing season conditions. Poor vintages all relate to higher frequencies of either weather type 3, which, by producing perturbation crossing CME, favours cooler and wetter conditions, and/or weather type 7 which favours cold dry continental air masses from the east and north east over CME. This approach shows there are important weather type frequency differences between good- and poor-quality vintages. Trend analysis shows that changes in weather type frequencies are more important than any due to global warming.

The influence of climate on durum wheat quality in Tuscany, Central Italy.

Climate and meteorological conditions greatly affect agricultural activities, modifying plant responses and determining the quantity and the quality of production. In this respect, the aim of this research was to analyze the quality of winter durum wheat (Triticum turgidum L. var. durum), in terms of protein content through the use of meteorological information. Meteorological conditions were described utilizing both local weather station data (air temperature, cumulated precipitation) and large-scale information available freely on the internet, such as geopotential height (GPH), sea surface temperature (SST), and the North Atlantic Oscillation (NAO) index. The analysis was carried out for the period 1997-2009 in the Tuscany region, Central Italy. Grain protein was positively correlated with air temperature during the February to June period, and negatively with cumulative precipitation during the entire period from November to June. Protein content was also negatively correlated with 500 hPa GPH over Gibraltar and North-Western Africa during the March to June period and with the SST of the Atlantic Ocean south-west of the Canary Islands during the January to June period. Finally, with regard to the NAO, winter durum wheat quality was positively correlated with the specific index for several months, in particular during the winter period. These results demonstrate that precipitation and air temperature over the production area represent two crucial variables driving the vegeto-productive responses of winter durum wheat. On the other hand, the use of large-scale meteorological information showed great potential from the perspective of a local quality forecast system setup.