Correlation between agronomic performance and resistance gene in PIWi varieties in the field

A large varietal collection including over 1700 varieties was maintained in Conegliano, ITA, since the 1950s. Phenological data on a subset of 400 grape varieties including wine grapes, table grapes, and raisins were acquired at bud break, flowering, veraison, and ripening since 1964. Despite the efforts in maintaining and acquiring data over such an extensive collection, the data set has varying degrees of missing cases depending on the variety and the year. This is ubiquitous in phenology datasets with significant size and length. In this work, we evaluated four state-of-the-art methods to estimate missing values in this phenological series: k-Nearest Neighbour (kNN), Multivariate Imputation by Chained Equations (mice), MissForest, and Bidirectional Recurrent Imputation for Time Series (BRITS). For each phenological stage, we evaluated the performance of the methods in two ways. 1) On the full dataset, we randomly hold-out 10% of the true values for use as a test set and repeated the process 1000 times (Monte Carlo cross-validation). 2) On a reduced and almost complete subset of varieties, we varied the percentage of missing values from 10% to 70% by random deletion. In all cases, we evaluated the performance on the original values using normalized root mean squared error. For the full dataset we also obtained performance statistics by variety and by year. MissForest provided average errors of 17% (3 days) at budbreak, 14% (4 days) at flowering, 14.5% (7 days) at veraison, and 17% (3 days) at maturity. We completed the imputations of the Conegliano dataset, one of the world’s most extensive and varied phenological time series and a steppingstone for future climate change studies in grapes. The dataset is now ready for further analysis, and a rigorous evaluation of imputation errors is included.

The use of bees as pollinators in vine varieties with physiologically female flowers (Picolit, Bicane, Ceresa, Moscato rosa, etc.) (Cargnello, 1983) and as bio-indicators for biodiversity and environmental sustainability is well-known. Furthermore, there are interests in: 1-a. Making the viticulture of Belluno (Province of Veneto in North-eastern Italy, which is also famous for the Dolomites -a UNESCO World Heritage-) regain the socioeconomic role which it is entitled to and which it had got in its past by aiming at the enhancement of local grape variety in harmony with others, for example with the neighboring area of the Conegliano and Valdobbiadene Prosecco Superiore DOCG; 2-a. Maintaining and further improving the important natural and healthy environment of Belluno, and making its territory and the “lookout” means of the environmental sustainability, including its vineyards, even more naturally original and sustainable 4.1C.

There is a growing interest in the exploitation of vine-shoots waste, since they are often left or burned. Sánchez-Gómez et al. [1] have shown that vines-shoots aqueous extracts have significant contents of bioactive compounds, among which several polyphenols and volatiles are highlighted. Recent studied had demonstrated that the chemical composition of vine-shoots is enhanced when vine-shoots are toasted
[2,3]. The application of vegetable products in the vineyards has led to significant changes towards a more “Sustainable Viticulture”. An innovative foliar application for Airén vine-shoot extracts have been carried out to the vineyard. It has been shown that they act as grape biostimulants, improving certain wine quality characteristics [4].

The main objective is to unravel the yeast biosynthetic pathways for MEL, SER and HT by using the respective labelled amino acids precursors: 15N2-L tryptophan and 13C-tyrosine.
The alcoholic fermentation experiments are performed with two different commercial
S cereviseae yeasts using synthetic must with the addition of the labelled compounds and the bioactive compounds were followed during the fermentation process. Six biological replicates of the fermentations were considered. MEL, SER and HT were analysed by UHPLC coupled to High Resolution Mass Spectrometry (HRMS). Accurate mass determination allowed to unequivocally distinguishing labelled and unlabelled compounds.

Brandy is a spirit drink produced from wine spirit aged for at least six months in oak casks with a capacity of less than 1000 L and minimum alcohol by volume (ABV) of 36%. During the aging process, physicochemical and sensory changes take place. Manifested by colour, flavour or aroma variations that improve the quality of the initial distillate.