Leaf necrosis induced by the insecticide carbaryl in Vitis rupestris ‘B38’

Grapevine breeding and germplasm curation require a scalable, cost-effective genotyping solution that performs robustly across wine, table, raisin, juice, and muscadine grapes from diverse Vitis species.

Un peu d’histoire pour nous efforcer de mettre le sujet des appellations dans un contexte général. Six cents ans avant Jésus-Christ, le Côte du Rhône était plantée en vignes peu après l’arrivée des Grecs

The pinking is a phenomenon that can occur in white wine produced with white grape causing the color change from yellow to red-salmon hue. Even if its appearance is highly variable and dependent to the vintage, the wines from certain grape varieties, such as Sauvignon blanc, Chardonnay, Riesling and Trebbiano di Lugana, have been identified to be more susceptible to the pinking.

The habit of regular, moderate wine consumption, particularly with meals, is associated with protective effects from coronary heart disease. Epidemiological studies looking at myocardial protection/recovery focus mainly on the effects of red wine due to its high content in antioxidants, especially polyphenols. In several previous studies, conducted in our laboratory, we have concentrated on the effects of moderate consumption of white wine, by experimental animals (rats), gaining a significant experience in technical and procedural challenges. The scientific literature, and our past experience, suggests that rats are resilient towards consumption of full bodied, barrique red wines.

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.