Techniques for sunburn reduction in bunches in Vitis vinifera L. cv. Graciano

Vine water use is a critical determinant of vineyard management practices, especially in the context of climate change.

High temperatures typical of warm climates cause the colour of red wines to become increasingly unstable over time.

The microbial diversity during spontaneous grape must fermentation has a determinant influence on the chemical composition and sensory properties of wine. Therefore, yeast diversity is an important target to better understand wine regionality. Hence, the aim of this study was to isolate, identify, and characterize the yeast core microbiota in grape must during the early stage of lab-scale spontaneous fermentation of withered grapes to produce Amarone della Valpolicella wine (Verona, Italy).

Fast, accurate, and non-destructive analytical techniques based on hyperspectral imaging (hsi) represent effective tools for food quality evaluation. A visible change in the appearance of a fresh product often negatively impacts the perceived quality from a consumer’s point of view.

Modern grapevine breeding programs have overcome many challenges using genomic selection, which has allowed breeders to make targeted selections at earlier stages in the breeding process. However, the cost of genetic testing may present a burden for some programs, and markers often struggle to accurately predict quantitative traits. Recent advances in high throughput, high-dimensional data have provoked investigation into the use of high-dimensional phenomics as a low-cost addition to the grape breeder’s toolkit that may offer advantages in predicting quantitative traits. High-dimensional secondary trait (HDST) data has been employed in annual crops for prediction of agriculturally important traits such as yield.