Banques de données biologiques annuelles par terroir et optimisation des itinéraires culturaux

The use of toasted vine-shoots as an alternative enological tool to make differentiated wines has generated interest among researchers and wineries. However, the evolution of these wines in bottle and the effect on the sensory profile has not been studied so far.

AIM: The aim of this research was to determine the influence of performing malolactic fermentation (MLF) of Tempranillo wines by coinoculation with Lactobacillus plantarum or Oenococcus oeni and Saccharomycescerevisiae on the composition and color of the final wines in comparison with sequential inoculation with Oenococcus oeni and spontaneous MLF. METHODS: Around 1500 Kg of Tempranillo grapes from Pagos de Anguix winery (Anguix, AOC Ribera de Duero, Spain) were harvested at the optimal maturity

L’économie cidricole française est concentrée dans les régions du grand Ouest avec environ 40% de la production nationale de pommes à cidre pour la seule région Bas-Normande où le Pays d’Auge occupe

The Maule region hosts up to a third of the total area of vineyards in Chile, in an environment where ancient practices inherited from the colonial past coexist with modernity and dynamism that include technified irrigation and fine vines. In the dry land of Maule there is a viticulture that has subsisted with ancient vines and traditions transmitted over generations, and there is little clarity about the origin and classification of the Maule viticulture, giving rise to the use of different concepts as synonyms to describe the ancient, minority, patrimonial or Criollas vines. In order to characterize and protect the ancient material, we studied the genetic diversity of a territorial collection that covers 80% of the communes of the region, prioritizing plants established more than 40-60 years ago.

It is fundamental for wineries to know the potential yield of their vineyards as soon as possible for future planning of winery logistics. As such, non-invasive image-based methods are being investigated for early yield prediction. Many of these techniques have limitations that make it difficult to implement for practical use commercially. The aim of this study was to assess whether yield can be estimated using images taken in-field with a smartphone at different phenological stages. The accuracy of the method for predicting bunch weight at different phenological stages was assessed for seven different varieties.