Open Access
Issue
BIO Web of Conferences
Volume 7, 2016
39th World Congress of Vine and Wine
Article Number 01036
Number of page(s) 4
Section Viticulture
DOI https://doi.org/10.1051/bioconf/20160701036
Published online 26 October 2016
  • E. F. Gris. V.M. Burin. E. Brighenti. H. Vieira and M.T. Bordignon-Luiz. Phenology and ripening of Vitis vinifera L. grape varieties in São Joaquim. southern Brazil: a new South American wine growing region. Cie. Inv. Agr. 37, 61–75 (2010) [Google Scholar]
  • L.I. Malinovski. L.J. Welter. A.F. Brighenti. H.J. Vieira. M.P. Guerra and A.L. Da Silva. 2012. Highlands of Santa Catarina/Brazil: a region with high potential for wine production. Acta Hort. 931, 433–440 (2012) [Google Scholar]
  • A.F. Brighenti. E. Brighenti. V. Bonin. and L. Rufato. Caracterização fenológica e exigência térmica de diferentes variedades de uvas viníferas em São Joaquim. Santa Catarina – Brasil. Ciên. Rural. 43, 1162–1167 (2013) [Google Scholar]
  • J.L. Marcon Filho. Sistemas de condução na produção de uvas viníferas e composição química e aromática de vinhos em região de altitude de Santa Catarina. (Thesis. Lages. 188. 2016) [Google Scholar]
  • R. S. Jackson. Wine science: principles and application (4th ed. San Diego. Elsevier. 789. 2014) [Google Scholar]
  • E. Peterlunger. E. Celotti. G. Da Dalt. S. Stefanelli. G. Gollino and R. Zironi. Effect of training system on Pinot noir grape and wine composition. Am. J. Enol. Vitic. 53, 14–18 (2002) [Google Scholar]
  • D. Ferree. T. Steiner. J. Gallander. D. Scurlock. G. Johns and R. Riesen. Performance of ‘Seyval Blanc’ Grape in Four Training Systems Over Five Years. Hortscince. 7, 1023–1027 (2002) [Google Scholar]
  • Z. S. Beslic. S. R. Todic. V. V. Tesevic. M. B. Jadranin. M. M. Novakovic and D. Tesic. Pruning effect on content of quercetin and catechin in berry skins of cv. Blaufränkisch (Vitis vinifera L.) Turk J Agric For. 34, 461–466 (2010) [Google Scholar]
  • L. F. Wessner and S. K. Kurtural. Pruning Systems and Canopy Management Practice Interact on the Yield and Fruit Composition of Syrah. Am. J. Enol. Vitic. 64, 134–138 (2013) [CrossRef] [Google Scholar]
  • T. Bates and J. Morris Mechanical Cane Pruning and Crop Adjustment Decreases Labor Costs and Maintains Fruit Quality in New York ‘Concord’ Grape Production. Horttechnology. 19, 247–253 (2009) [Google Scholar]
  • J. M. Gambetta. S. E. P. Bastian. D. Cozzolino. and D. W. Jeffery. Factors Influencing the Aroma Composition of Chardonnay Wines J. Agric. Food Chem. 62, 6512–6534 (2014) [CrossRef] [PubMed] [Google Scholar]
  • P. Iland. P. Dry. T. Proffit and S. Tyerman. The Grapevine – From the Science to the Practice of Growing Vines for Wine (Wine Promotions: Adelaide. Australia. 2011) [Google Scholar]
  • OIV - Organization Internationale de la Vigne et du Vin. Compendium of International Methods of Wine and Must Analysis (OIV. Paris. 2009) [Google Scholar]
  • V.L. Singleton. J.A. Rossi. Colorymetry of total phenolics with phosphomolibdic-phosphotungstic acid reagent. Am. J. Enol. Vitic. 16, 144–158 (1965) [Google Scholar]
  • G. S. Howell. Sustainable grape productivity and the growth-yield relationship: A review. Am. J. Enol. Vitic. 52, 165–174 (2001) [Google Scholar]
  • F. Bernizzoni. Long-term Performance of Barbera Grown under Different Training Systems and Within-Row Vine Spacings. Am. J. Enol. Vitic., 60, 339–348 (2009) [Google Scholar]
  • D. Ferree, T. Steiner, J. Gallander, D. Scurlock, G. Johns, and R. Riesen. Performance of ‘Seyval Blanc’ Grape in Four Training Systems Over Five Years Hortscince, 7, 1023–1027 (2002) [Google Scholar]
  • A.G. Reynolds and J.E. Vanden Heuvel. Influence of grapevine training systems on vine growth and fruit composition: A review. Am. J. Enol. Vitic. 60, 251–268 (2009) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.