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…

Statewide relationships between water potentials, gas exchange and δ13c of grape musts in California. Implications for use in precision viticulture

The measurement of carbon isotopic discrimination of musts (δ13C) at harvest is an integrated assessment of water status during ripening of grapevine. It is an alternative to traditional measurements of water status in the field, which is crucial for understanding spatial variability of plant physiology at the vineyard scale, proven useful for delineation of management zones in precision viticulture. The aim of this work was to attune the method for the first time to California conditions across a range of areas and cultivars with different hydric behavior, and to evaluate its efficiency in delineating management zones for selective harvest in commercial vineyards.

Caractérisation du terroir en Espagne : méthodologie de l’évaluation et de la validation

In recent years, there has been a growing interest in characterizing the ecological environment of vineyard production, and the growing need to delimit and characterize with precision the different homogeneous viticultural units. This has allowed the development of new studies which have as their objective the Vineyard Zoning. The delimitation and characterization of wine-growing areas poses specific problems in Spain, not only linked to the specific characteristics of the territory, but also to the size, distribution and index of viticultural occupation in the designations of origin.

Estimation of degree brix in grapes by proximal hyperspectral sensing and nanosatellite imagery through the random forest regressor

The assessment of physiological parameters in vineyards can be done by direct measurements or by remote, indirect methods. The latter option frequently yields useful data, and development of methods and techniques that make them possible is worthwhile. One of the parameters most looked for to define the quality status of a vineyard is the degree Brix of its grapes, a quantity usually determined by direct measurement.

Applications of a novel molecular phenology scale to align the stages of grape berry development

Phenology scales widely adopted by viticulturists (i.e., BBCH or modified E-L systems) are classification tools that describe seasonal and precisely recognized stages of fruit growth and development based on specific descriptors such as visual/physical traits or easy-to-measure compositional parameters.

Improved vineyard sampling efficiency using aerial NDVI

Random sampling is often considered to be the best protocol for fruit sampling because it is assumed to produce a sample that best represents the vineyard population.