Macrowine 2021
IVES 9 IVES Conference Series 9 Macrowine 9 Macrowine 2021 9 Grapevine diversity and viticultural practices for sustainable grape growing 9 Preliminary evaluation of agronomic and enological properties of preselected grapevine clones of ‘Tempranillo’ and ‘Graciano’ in DOCa Rioja (Spain)

Preliminary evaluation of agronomic and enological properties of preselected grapevine clones of ‘Tempranillo’ and ‘Graciano’ in DOCa Rioja (Spain)

Abstract

AIM. Cultivation of a few number of clones is causing the loss of vineyard biodiversity, resulting in the disappearance of biotypes that could be of interest to face future challenges, such as climate change or appearance of new pests. This topic is so relevant that OIV dedicated a recent resolution (OIV, 2019) to the recovery and conservation of intra-varietal diversity. In order to avoid the loss of grapevine intra-varietal diversity of DOCa Rioja grape varieties, Regional Government of La Rioja established a germplasm bank with more than 1.600 accessions, which origin lies in the prospecting and sampling of ancient vineyards located throughout the whole region. 30 clones of Tempranillo and 13 clones of Graciano were preselected and multiplied in a new vineyard for further observations. The aim of this work is to describe the first results obtained from the agronomic characterization of these preselected clones, which constitute the base of a new clonal selection that aims to increase the range of available certified clones.

METHODS. Candidate clones (30 cv. Tempranillo; 13 cv. Graciano) were planted in 2016 in an experimental vineyard in La Rioja (Spain). A complete randomized block design was set up with four replicates of 10 plants. In 2020, clones were evaluated according to their phenological data (time of bud burst, full bloom, veraison and physiological ripeness). At harvest, yield parameters were determined: weight of 100 berries (g), cluster weight (g), fertility (clusters/shoot), yield (kg/plant) and cluster compactness (OIV descriptor Nº204). Must chemical composition was determined by analyzing ºBrix, pH, total acidity (g/l), tartaric acid (g/l), malic acid (g/l) and potassium (mg/l). The following vegetative growth parameters were determined: average shoot weight (g), pruning fresh weight (kg/plant) and Ravaz Index. In addition, clones were vinified and wine physical-chemical parameters, total phenolic index (TPI), anthocyanin content (mg/l) and color intensity were determined.

RESULTS. Significant differences between clones were found for each parameter. Results confirmed therefore the huge wide genetic variability existing between the clones regarding their agronomic behaviour. Moreover, clones also showed great differences regarding wine composition. Nonetheless, data collection needs to continue for at least 3 vintages in order to fulfill their caracterization independently from climatic conditions.

CONCLUSIONS

Clones have shown big differences in many of the parameters analyzed. The diversity found is a potential tool for the selection of those candidates with the best properties and constitutes the best guarantee of adaptation of these varieties to future objectives and environmental conditions.

DOI:

Publication date: September 1, 2021

Issue: Macrowine 2021

Type: Article

Authors

Javier Portu , Gobierno de La Rioja,  Finca La Grajera, Elisa BAROJA, Juana MARTÍNEZ.  Luis RIVACOBA. Enrique GARCÍA-ESCUDERO, 

Instituto de Ciencias de la Vid y del Vino (Gobierno de La Rioja, Universidad de La Rioja, CSIC). Ctra. de Burgos Km. 6, Logroño, La Rioja 26007, Spain,

Contact the author

Keywords

intra-varietal diversity, climate change, clonal selection, genetic erosion

Citation

Related articles…

Cold plasma at atmospheric pressure for eliminating Brettanomyces from oak wood

In the oenological industry, the maintenance and sanitation of oak barrels has become a fundamental task. The wood has a porous structure that facilitates the penetration not only of the wine, but of the microorganisms it contains, such as the alterative yeast Brettanomyces bruxellensis.

Integrating genomic prediction into grapevine breeding programs

Genomic selection (GS) has emerged as a transformative tool for accelerating breeding programs by predicting the genetic potential of individuals using genome-wide markers.

Influence of agrophotovoltaic on vine and must in a cool climate

The current energy crisis means that interest in agrophotovoltaics has increased significantly. The reason behind this is that the system aims to combine agricultural production with energy production. During the three-year period from 2020 to 2022, the effects of photovoltaic panels on the vine, the yield and the quality of the must were studied in Walenstadt in northern Switzerland, an area with a cool, humid climate. 65 Pinot noir vines were planted in the 160m2 study area. Because of the large edge effects, only 3 repetitions with 4 vines each could be created. A significantly lower leaf infestation by Plasmopara viticola was observed among the panels in each of the three years.

Chemical and sensory profile of Brazilian red wines upon the cultivar and geographic origin of vineyards

Many vineyards implanted in Brazil in the last 20 years are placed under very different natural conditions if compared to Serra Gaúcha, the oldest and more traditional viticultural region in the country.

From genes to vineyards: system biology and new breeding technologies for water stress tolerance in grapevines

One of the major challenges for food security and sovereignty is to produce stress-tolerant plants without introducing foreign DNA, because the legislative process, that bans transgenics, challenges us to find new solutions for producing plants that can survive the drought. To achieve this goal, we need to identify genes that can be modified to improve stress tolerance in plants. In this work, we present an online tool for exploring the transcriptome of grapevines under water stress, which is one of the most important abiotic stresses affecting viticulture. The tool is based on a comprehensive collection of rna-seq data from 997 experiments, covering four different tissues (leaf, root, berry, and shoot), various levels of water stress, and diverse genetic backgrounds (cultivars and rootstocks) with different levels of tolerance to water stress.