GiESCO 2019 banner
IVES 9 IVES Conference Series 9 GiESCO 9 Cabernet-Sauvignon ripening in Chile: follow-up study from 2012 to 2018

Cabernet-Sauvignon ripening in Chile: follow-up study from 2012 to 2018

Abstract

Context and purpose of the study – Temperature is a relevant parameter during vineyard development, affecting vine phenology and grape maturity. Moreover, the climate of the different Chilean valleys influences the varieties cultivated, the ripening period and the final quality of the wines. The use of growing degree days (GDD) is known worldwide for the study of climate in viticulture regions. However, little is known about the evolution of maturity and the sugar loading stop, based on this parameter. GDD, as being independent of the date variable, allows incorporating the effect of climate in the analysis. The present study was aimed to understand the variation between seasons and the effect of temperature in grape maturity and in bioclimatic index. We found correlations that allow predict the behavior of next years, based on growing degree days.

Material and methods – Temperatures were collected from national agro climatic network (AGROMET). Four meteorological stations were consulted depending on the location of the company vineyards. Growing degree days (GDD) were calculated with a base temperature of 10°C from September 1 through March 31. Huglin index, a bioclimatic index of the ripening period, was calculated using daily mean temperature, daily maximum temperature and a day length coefficient of 1, because the vineyard is placed in latitude lower 40°00´. Grape maturity was monitored once a week, recording the sugar concentration and the volume of grapes with Dyostem machine. These data was used to calculate the sugar loading dynamics and the date of sugar loading stop. In average, 145 blocks of Cabernet Sauvignon were measured from four different valleys (Maule valley (M), Curicó valley (C), Maipo Valley (Ma) and Rapel valley (R)).

Results – For the three valleys, the sugar loading stop was beginning at lower GDD for 2015 and 2017, influenced by the higher temperatures in January. But the average potential alcohol was lower in these years, reaching 12.1; 12.3; 13.1 and 11.4 %v/v at 2015 and 12.4; 11.3; 13.5 and 11.9 %v/v at 2017 for M, R, Ma y C respectively. The rate of sugar loading was higher in M and C valley than R and Ma valley for 2015 and 2017, indicating that the high temperatures affect greater R and Ma valley than the other valleys studied. Moreover, in 2017, the dynamics of maturity (mg of sugar per berry) were lower compared with 2015, due to the higher temperatures registered in Cabernet sauvignon blocks in January to April. The maximum temperatures in 2017 were 39.4°C including 13 days with temperatures over 35°C in M valley, 36°C including 7 days with temperatures over 35°C in R, 37°C including 5 days with temperatures over 35°C in Ma valley and 35.7°C including 3 days with temperatures over 35°C in C valley. These temperatures generated a blockage of vines. On the other hand, the year 2014 was the best season, with average potential alcohol at the sugar loading stop of 14.5; 13.6; 14 and 13%v/v for M, R, Ma and C valley. In 2014, the maximum quantity of sugar per berry was higher (250-350 mg of sugar per berry), perhaps because the vines have enough time to load sugars, with lower temperatures from January to April compared with the other years. A year to year comparison of the 4 valleys reveals that the maximum quantity of sugar per berry was decreasing the last three years, from 200-300 mg of sugar per berry in 2012, 2013 and 2015 to 170-260 in 2016, 2017 and 2018 approximately. Analyzing the bioclimatic index, M valley has a warm climate from 2014 onwards; C valley has a warm temperate climate from 2014 onwards and R and Ma valley has a warm climate the last two years. The data of bioclimatic index showed a tendency towards a warm climate. The GDD curves have a polynomic tendency respect to the date. These results could be used to predict GDD for 2019 and a probable date of harvest.

DOI:

Publication date: September 28, 2023

Issue: GiESCO 2019

Type: Poster

Authors

M.Isabel MOENNE1*, Ricardo RODRIGUEZ1, Juan CURY1, Miguel RENCORET1

VSPT Wine Group, Avenida Vitacura 2670 Piso 16, Santiago, Chile

Contact the author

Keywords

grapevine, degree day, Cabernet, Sauvignon, climate, ripening, maturity

Tags

GiESCO | GiESCO 2019 | IVES Conference Series

Citation

Related articles…

Climate change projections to support the transition to climate-smart viticulture

The Earth’s system is undergoing major changes through a wide range of spatial and temporal scales as a response to growing anthropogenic radiative forcing, which is pushing the whole system far beyond its natural variability. Sources of greenhouse gases largely exceed their sinks, thus leading to a strengthened greenhouse effect. More energy is thereby being supplied to the system, with inevitable shifts in climatic patterns and weather regimes. Over the last decades, these modifications have been manifested in the full statistical distributions of the atmospheric variables, with dramatic changes in the frequency and intensity of extremes. Natural hazards, such as severe droughts, floods, forest fires, or heatwaves, are being triggered by extreme atmospheric events worldwide, thus threatening human activities. Viticultculture is not only exposed to changing climates but is also highly vulnerable, as grapevine phenology and physiological development are strongly controlled by atmospheric conditions. Therefore, the assessment of climate change projections for a given region is critical for climate change adaptation and risk reduction in viticulture. By adopting timely and suitable measures, the future sustainability and resiliency of the sector can be fostered. Climate-grapevine chain modelling is an essential tool for better planning and management. However, the accuracy of the resulting projections is limited by many uncertainties that must be duly taken into account when transferring knowledge to stakeholders and decision-makers. Climate-smart viticulture will comprise ensembles of locally tuned strategies, envisioning both adaptation and mitigation, assisted by emerging technologies and decision-support systems.

Variety and climatic effects on quality scores in the Western US winegrowing regions

Wine quality is strongly linked to climate. Quality scores are often driven by climate variation across different winegrowing regions and years, but also influenced by other aspects of terroir, including variety. While recent work has looked at the relationship between quality scores and climate across many European regions, less work has examined New World winegrowing regions. Here we used scores from three major rating systems (Wine Advocate, Wine Enthusiast and Wine Spectator) combined with daily climate and phenology data to understand what drives variation across wine quality scores in major regions of the Western US, including regions in California, Oregon and Washington. We examined effects of variety, region, and in what phenological period climate was most predictive of quality. As in other studies, we found climate, based mainly on growing degree day (GDD) models, was generally associated with quality—with higher GDD associated with higher scores—but variety and region also had strong effects. Effects of region were generally stronger than variety. Certain varieties received the highest scores in only some areas, while other varieties (e.g., Merlot) generally scored lower across regions. Across phenological stages, GDD during budbreak was often most strongly associated with quality. Our results support other studies that warmer periods generally drive high quality wines, but highlight how much region and variety drive variation in scores outside of climate.

Effect of fertigation strategies to adapt PGI Côtes de Gascogne production to hot vintage

The development of fertigation could be a possible solution to adapt PGI Côtes de Gascogne (south-western France) wine production to climate change. The goal would be to limit the negative effects of water stress on yield performance expectation (around 15 tons per hectare) and to make the use of fertilizers more efficient. This study aimed to compare the effects of three strategies of water and minerals supply on grapes and wines qualities. Two fertigation practices were compared to a rainfed control which is the current standard of the local grape growing production. The fertilizers (nitrogen and potassium) were (i) fully brought by irrigation pipe during the season, (ii) partially brought by irrigation pipe and partially on the soil or (iii) fully brought on the soil at the beginning of the season for the non-irrigated control (local standard). The trial was run on cv. Colombard trained on spur pruned with vertical shoot positioning system on a sandy-silty-clay soil over the 2020 vintage which was particularly hot for the region. Moderate to strong water deficit appeared during the growing period of the berries and held on after veraison. Irrigation strategies allowed for maintaining grapevine without water deficit and being significantly different from the control water status. Grapevine with fully or partial fertigation strategies produced 25% more yield mainly due to the increase of the bunch weight. Also, the fully fertigation showed the best ratio between yield and maturity and brought 30% less of fertilizers (both nitrogen and potassium) than the two other strategies. Finally, the analysis of aromatic compounds in Colombard wines, varietal thiols family, showed the same level of concentrations for the 3 treatments, confirming that the yield performance did not impact the aromatic potential in this trial.

Climate and the evolving mix of grape varieties in Australia’s wine regions

The purpose of this study is to examine the changing mix of winegrape varieties in Australia so as to address the question: In the light of key climate indicators and predictions of further climate change, how appropriate are the grape varieties currently planted in Australia’s wine regions? To achieve this, regions are classified into zones according to each region’s climate variables, particularly average growing season temperature (GST), leaving aside within-region variations in climates. Five different climatic classifications are reported. Using projections of GSTs for the mid- and late 21st century, the extent to which each region is projected to move from its current zone classification to a warmer one is reported. Also shown is the changing proportion of each of 21 key varieties grown in a GST zone considered to be optimal for premium winegrape production. Together these indicators strengthen earlier suggestions that the mix of varieties may be currently less than ideal in many Australian wine regions, and would become even less so in coming decades if that mix was not altered in the anticipation of climate change. That is, grape varieties in many (especially the warmest) regions will have to keep changing, or wineries will have to seek fruit from higher latitudes or elevations if they wish to retain their current mix of varieties and wine styles.

Use of a new, miniaturized, low-cost spectral sensor to estimate and map the vineyard water status from a mobile 

Optimizing the use of water and improving irrigation strategies has become increasingly important in most winegrowing countries due to the consequences of climate change, which are leading to more frequent droughts, heat waves, or alteration of precipitation patterns. Optimized irrigation scheduling can only be based on a reliable knowledge of the vineyard water status.

In this context, this work aims at the development of a novel methodology, using a contactless, miniaturized, low-cost NIR spectral tool to monitor (on-the-go) the vineyard water status variability. On-the-go spectral measurements were acquired in the vineyard using a NIR micro spectrometer, operating in the 900–1900 nm spectral range, from a ground vehicle moving at 3 km/h. Spectral measurements were collected on the northeast side of the canopy across four different dates (July 8th, 14th, 21st and August 12th) during 2021 season in a commercial vineyard (3 ha). Grapevines of Vitis vinifera L. Graciano planted on a VSP trellis were monitored at solar noon using stem water potential (Ψs) as reference indicators of plant water status. In total, 108 measurements of Ψs were taken (27 vines per date).

Calibration and prediction models were performed using Partial Least Squares (PLS) regression. The best prediction models for grapevine water status yielded a determination coefficient of cross-validation (r2cv) of 0.67 and a root mean square error of cross-validation (RMSEcv) of 0.131 MPa. This predictive model was employed to map the spatial variability of the vineyard water status and provided useful, practical information towards the implementation of appropriate irrigation strategies. The outcomes presented in this work show the great potential of this low-cost methodology to assess the vineyard stem water potential and its spatial variability in a commercial vineyard.