Hyperspectral imaging and machine learning for monitoring grapevine physiology

vine plant material is one of the major factors of terroir. The vine numbers over 1,000 species, of which the main cultivated species, Vitis vinifera, includes some 6,000 varieties. For the last forty years, selection has been carried out on these, mainly through clonal selection. However, today, only 300 varieties present one or more clones. A dozen varieties are considered as international. The extreme requirements of selection, in terms of diseases, provoke the elimination of the majority of selected plants. This approach to selection is not thorough because it focuses mainly on elimination of virosis and phytoplasma diseases.

Throughout the growing season, grapevine frequently encounters environmental challenges associated with heat and light radiation stress, especially during the ripening stage, thereby constraining the yield and quality of berries. MYB24 has been previously proposed to control light responses during late fruit ripening stages, and it has been found to require the co-factor MYC2. We have generated transcriptomic data from grapevine leaves transiently co-transformed with MYB24 and MYC2. Differential expression analysis revealed 179 up-regulated genes (URGs). Considering tissue specificity, where MYB24 is specifically and highly expressed in flowers and late-ripening berries, the expression of these URGs was explored using a previously published Berry Development Atlas gathering berry development data of cv. ‘Pinot Noir’ and ‘Cabernet Sauvignon’ in different vintages.

Grape pomace is one of the main by-products generated after pressing in winemaking.Emerging methods, such as ultrasound-assisted extraction with eutectic mixtures, have great potential due to their low toxicity, and high biodegradability. Choline chloride (ChCl) was used as a hydrogen bond acceptor and its corresponding hydrogen bond donor (malic acid, citric acid, and glycerol: urea). Components were heated at 80 °C and stirred until a clear liquid was obtained. Distilled water was added (30 % v/v). A solid-liquid ratio of 1 g pomace per 10 ml of eutectic solvent was used.

In viticoltura, la comprensione dell’influenza della temperatura dell’aria sulla dinamica della maturazione assume importante rilievo in relazione all’ ottimizzazione dell’ epoca di raccolta da cui dipende in modo significativo la qualità del prodotto finale.

In order to study the impact of climate change on Bordeaux grape varieties and to assess the behavior of candidate grape varieties potentially better adapted to the new climatic conditions, an experimental vineyard composed of 52 grape varieties was planted in 2009 at the INRAE Bordeaux Aquitaine center[1]. Among the many parameters studied since 2012, berry weight for each variety was measured weekly from mid-veraison to maturity, with four independent replicates. The kinetics obtained allowed to study berry growth, a key parameter in grape composition and yield.