within vineyard variability as affecting yield

0 downloads 0 Views 2MB Size Report
The study was carried out during three years (2010-2012) in a viticultural ... The sensory evaluation of wines was performed 6 months after harvest in all years.
WITHIN VINEYARD VARIABILITY AS AFFECTING YIELD PARAMETERS AND WINE QUALITY: RESULTS OF THREE YEARS OF INVESTIGATION IN FRIULI COLLI ORIENTALI D.O.C. AREA VARIABILITÉ INTRA VIGNOBLE AFFECTANT LES PARAMÈTRES DE RÉCOLTE ET LA QUALITÉ DES VINS: RÉSULTATS DE TROIS ANS DE RECHERCHE DANS L’AOC «FRIULI COLLI ORIENTALI» Giovanni Bigot1, Lorenzo Bigot1, Gilberto Bragato2, Alessandro Freccero1, Davide Mosetti1, Michele Stecchina1, Carlos Lujan1, Paolo Sivilotti3 1perleuve

S.r.l., via Isonzo 25, I-34070 Cormons, Italy - 2Centro di Ricerca per lo Studio delle Relazioni tra Pianta e Suolo, via Trieste 23, I-34170 Gorizia, Italy - 3University of Nova Gorica, Glavni trg 8 - 5271 Vipava, Slovenia

INTRODUCTION The winegrowing area “Friuli Colli Orientali and Ramandolo” is located at the border with Slovenia, with the vineyards settled in hills at the foot of the Alp mountains. Because of the geological origin of the hills, many important differences in soil characteristics and microclimate can be easily found also within the same vineyard. Thus, gradients of vegetation grow can be observed along the fields, with important implications also for the biosynthesis of metabolites that accumulates in grape berries.

MATERIALS AND METHODS The study was carried out during three years (2010-2012) in a viticultural farm located in Prepotto, a little town in the North-Eastern part of Italy near the Slovenian border. NDVI (Normalised Difference Vegetation Index) was evaluated during the summer seasons, using two ACS210 sensors (Holland scientific Inc., Lincoln, Nebraska) laterally mounted on a four-wheeler (All-Terrain Vehicle). In the first year NDVI measurements have been processed into geostatistic approach with the aim to divide two macro-zones (within a vineyard unit) characterized by low (LV) and high vigour (HV), respectively. Within each macro-zone, ten plots have been randomly selected for data collection (4 varieties, 80 plots with 5 plants). Two white (Sauvignon blanc and Friulano) and two red varieties (Pignolo and Schioppettino) were selected. For each plot yield parameters have been assessed and 200 berry samples were randomly and grape quality parameters analysed. In white grapes total soluble solids, titratable acidity and pH were evaluated while in reds also phenolic parameters were computed (Glories, 1978). In the same three years 2010-12, wines were made keeping separately the grapes of the two macro-zones as identified in the season 2009, since in the following years the differences between vigour were basically maintained The sensory evaluation of wines was performed 6 months after harvest in all years. In case of Schioppettino, in the year 2013 also wines from 2011 and 2010 were again evaluated. A two way ANOVA was performed using the General Linear Model (GLM) procedure (STATISTICA - StatSoft Inc., Oklahoma, US), by considering vigour as a fixed factor and the season as the random factor. The significance of the interaction vigour x season was also tested and reported. When ANOVA test was significant, means were separated using Student-Newman-Keuls test (p