Enhancing grape traceability from grower to consumer through GS1 Standards: A case study of the Australian table grape industry

Mandilaria, a red grape variety indigenous to the Aegean islands, is well known for its robust tannins and pronounced astringency, which can challenge the palatability and marketability of its wines. The aim of this study was the reduction of astringency in wines made exclusively from mandilaria grapes through dehydrations practices and targeted winery applications.

Faced with the likely withdrawal of commercial specialities from use in the short to medium term, France has decided to implement an ambitious action plan to anticipate and avoid withdrawal without alternative solutions. The French wine industry (cniv and ifv) has been heavily involved in this action to define priorities. faced with the risk of the withdrawal of multi-site fungicides (folpel, dithianon, copper) coupled with the probable reduction in single-site fungicide solutions, mildew and black rot have been identified as the priority uses.

Rotundone, the pepper aroma compound, has been detected in wines made from a large number of grape varieties. However, given the fact that analyzed wines were sourced from different winegrowing regions and seasons, made using different winemaking techniques and at different scales, it remains difficult to assess the real variety potential to produce rotundone.

There are currently enzyme preparations on the market with specific protease activities capable of degrading unstable must proteins and preventing turbidity in white and rosé wines. The main drawback is the need to heat the must at 75ºc for 1-2 minutes to denature the proteins and facilitate enzyme action.

The selection of ancient grapevine varieties aims to achieve genetic gains in several important traits that can make the variety more interesting for the objectives of the producers. Traditionally, yield and quality traits of the must have been considered for selection, but many others can be taken into account. Linear mixed models are fitted to the data to predict the empirical best linear unbiased predictors (EBLUPs) of genotypic effects for each evaluated trait, which will be the basis for selection.