terclim by ICS banner
IVES 9 IVES Conference Series 9 Fruit set rate clonal variation explains yield differences at harvest in Malbec

Fruit set rate clonal variation explains yield differences at harvest in Malbec

Abstract

Malbec is Argentina’s flagship variety, and it is internationally recognized for producing high-quality red wines. Fruit set rate is a major component in grapevine yield determination, and it is the outcome of multiple genetic and environmental interacting variables. Here, we characterized the reproductive performance of 25 Malbec clones grown under homogeneous conditions in a 23-years old experimental plot. We measured traits near flowering (like the number of flowers per inflorescence) and at harvest (including the number of berries per cluster and berry weight), during two consecutive seasons (2022 and 2023). After combining image-based systems to assist in the phenotyping with univariate and multivariate approaches for statistical analyses, we identified a wide range of clonal variation. For example, fruit set rate varied from 13.1 to 65.8% (avg. 38.4%) and from 9.8 to 50.0% (avg. 32.1%) in 2022 and 2023, respectively. A hierarchical clustering on principal components analysis identified three clonal groups of phenotypic similarity, consistent between seasons. Interestingly, two of these groups presented a similar number of flowers per inflorescence but markedly different fruit set rates. Consequently, clones from these two groups produced a significantly different number of berries per cluster. The in-depth analysis of clones assigned to these contrasting groups, for traits like pollen viability and flower morphology, allowed exploring the potential causes of the observed differences. We found that fruit set rate variation has multiple causes in Malbec, associated to anomalous flower development and functionality, which could ultimately impact on clonal yield differences at harvest.

DOI:

Publication date: June 13, 2024

Issue: Open GPB 2024

Type: Poster

Authors

Luciano Calderón1*, Javier Tello2*, Silvina van Houten1, Claudio Muñoz1,4, Tomas Oroño1, Laura Bree3, Daniel Bergamin3, Cristóbal Sola3, Natalia Carrillo4, José Miguel Martinez-Zapater2, Diego Lijavetzky1

1 Instituto de Biología Agrícola de Mendoza (CONICET-UNCuyo). Mendoza, Argentina
2 Instituto de las Ciencias de la Vid y del Vino (ICVV; CSIC, UR, Gobierno de La Rioja). Logroño, Spain
3 Vivero Mercier Argentina. Mendoza, Argentina
4 Facultad de Ciencias Agrarias (UNCuyo). Mendoza, Argentina

Contact the author*

Keywords

intra-varietal variation, reproductive performance, image-assisted phenotyping, flower development

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Measurement of grape vine growth for model evaluation

Within a research project for simulating the nitrogen turnover in vineyard soils and the nitrogen uptake by the grape vine, a previously developed plant growth model (Nendel and Kersebaum 2004) had to be evaluated. A dataset was obtained from a monitoring experiment at three vineyard sites with different soil types, conducted in the years 2003 and 2004.

Cultivation forms and viticulture models adapting to adverse “environmental” conditions

One of the main problems in viticultural production in Istria (Croatia) is a labour shortage in periods of intensive works, mainly during summer, respectively during tourist season.

AOC valorization of terroir nuances at plot scale in Burgundy

In the highly competitive global wine market, Burgundy has a long-established reputation to maintain. The vine and wine sector in Burgundy is based on a five-level ranking of AOC (Appellation d’Origine Contrôlée) wines and of the plots where the grapes are grown.

Bio-modulating wine acidity: The role of non-Saccharomyces yeasts

In this video recording of the IVES science meeting 2021, Alice Maria Correia Vilela (University of Trás-os-Montes and Alto Douro, Vila Real, Portugal) speaks about bio-modulating wine acidity: the role of non-Saccharomyces yeasts. This presentation is based on an original article accessible for free on IVES Technical Reviews.

Climate modeling at local scale in the Waipara winegrowing region in the climate change context

In viticulture, a warming climate can have a very significant impact on grapevine development and therefore on the quality and characteristics of wines across different spatial scales, ranging from global to local. In order to adapt wine-growing to climate change, global climate models can be used to define future scenarios, but only at the scale of major wine regions. Despite the huge progress made over the last ten years in terms of the spatial resolution of climate models (now downscaled to a few square kilometres), they are not yet sufficiently precise to account for the local climate variability associated with such parameters as local topography, in spite of these parameters being decisive for vine and wine characteristics. This study describes a method to downscale future climate scenarios to vineyard scale. Networks of data loggers have been used to collect air temperature at canopy level in the Waipara winegrowing region (New Zealand) over five growing seasons. These measurements allow the creation of fine-scale geostatistical models and maps of temperature (at 100 m resolution) for the growing season. In order to model climate change at pilot site scale, these geostatistical models have been combined with regional climate change predictions for the periods 2031-2050 and 2081-2100 based on the RCP8.5 climate change scenario. The integration of local climate variability with regionalized climate change simulations allows assessment of the impacts of climate change at the vineyard scale. The improved knowledge gained using this methodology results from the increased horizontal resolution that better addresses the concerns of winegrowers. The results provide the local winegrowers with information necessary to understand current processes, as well as historical and future viticulture trends at the scale of their site, thereby facilitating decisions about future response strategies.