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…

Protected Designation of Origin (D.P.O.) Valdepeñas: classification and map of soils

The objective of the work described here is the elaboration of a map of the different types of vineyard soils that to guide the famers in the choice of the most productive vine rootstocks and varieties. 90 vineyard soils profiles were analysed in the entire territory of the Origen Denominations of Valdepeñas. The sampling was carried out in 2018 (June to October) by making a sampling grid, followed by photointerpretation and control in the field. The studied soils can be grouped into 9 different soil types (according to FAO 2006 classification): Leptosols, Regosols, Fluvisols, Gleysols, Cambisols, Calcisols, Luvisols and Anthrosols. A map showing the soil distribution with different type of soils has been made with the ArcGIS program. Regarding to the choice of rootstock, Calcisoles are soils with a high active limestone content, so the rootstocks used in these soils must be resistant to this parameter; Luvisols are deep soils with high clay content, so they will support vigorous rootstocks. Because the cartographic units are composed of two or more subgroups, with are associated in variable proportions, 9 different soil associations have been established; Unit 1: Leptosols, Cambisols and Luvisols (80%, 15% and 5% respectively); Unit 2: Cambisols with Regosols and Luvisols (40%, 30% and 30% respectively); Unit 3: Cambisols and Gleysols with Regosols (40%, 40% and 20% respectively); Unit 4: Regosols with Cambisols, Leptosols and Calcisols (40%, 30%, 15% and 15% respectively); Unit 5: Cambisols, Leptosols, Calcisols and Regosols (25% each of them); Unit 6: Luvisols with Cambisol and Calcisols (80%, 10% and 10% respectively); Unit 7: Luvisols and Calcisols with Cambisols (40%, 40% and 20% respectively); Unit 8: Calcisols with, Cambisols and Luvisols (80%, 10% and 10% respectively); Unit 9: Anthrosols. These study allow to elaborate the first map of vineyard soils of this Protected Designation of Origin in Castilla-La Mancha.

Influence of grapevine rootstock/scion combination on rhizosphere and root endophytic microbiomes

Soil is a reservoir of microorganisms playing important roles in biogeochemical cycles and interacting with plants whether in the rhizosphere or in the root endosphere. The composition of the microbial communities thus impacts the plant health. Rhizodeposits (such as sugar, organic and amino acids, secondary metabolites, dead root cells …) are released by the roots and influence the communities of rhizospheric microorganisms, acting as signaling compounds or carbon sources for microbes. The composition of root exudates varies depending on several factors including genotypes. As most of the cultivated grapevines worldwide are grafted plants, the aim of this study was to explore the influence of rootstock and scion genotypes on the microbial communities of the rhizosphere and the root endosphere. The work was conducted in the GreffAdapt plot (55 rootstocks x 5 scions), in which the 275 combinations have been planted into 3 blocks designed according to the soil resistivity. Samples of roots and rhizosphere of 10 scion x rootstock combinations were first collected in May among the blocks 2 and 3. The quantities of bacteria, fungi and archaea have been assessed in the rhizosphere by quantitative PCR, and by cultivable methods for bacteria and fungi. The communities of bacteria, fungi and arbuscular mycorrhizal fungi (AMF) was analyzed by Illumina sequencing of 16S rRNA gene, ITS and 28S rRNA gene, respectively. The level of mycorrhization was also evaluated using black ink coloration of newly formed roots harvested in October. The level of bacteria, fungi and archaea was dependent on rootstock and scion genotypes. A block effect was observed, suggesting that the soil characteristics strongly influenced the microorganisms from the rhizosphere and root endosphere. High-throughput sequencing of the different target genes showed different communities of bacteria, fungi and AMF associated with the scion x rootstock combinations. Finally, all the combinations were naturally mycorrhized. The root mycorrhization intensity was influenced by the rootstock genotype, but not by the scion one. Altogether, these results suggest that both rootstock and scion genotypes influence the rhizosphere and root endophytic microbiomes. It would be interesting to analyze the biochemical composition of the rhizodeposition of these genotypes for a better understanding of the processes involved in the modulation of these microbiomes. Moreover, crossing our data with the plant agronomic characteristics could provide insights into their roles on plant fitness.

Influence of a spontaneous cover crop on the vineyard and soil erosion under Mediterranean climate

Sixty five % of the agricultural area of the Basque Country located in the DO Ca Rioja corresponds to vineyards. More than 40% of it has an average slope greater than 10%, which makes it sensitive to erosive processes. Furthermore, it is foreseeable that extreme weather events (storms, hail, extreme heat and cold, etc.) will be favored due to climate change. Cover cropping can mitigate this risk, and therefore the objective of this work is to evaluate the impact that a vegetable cover has on the agronomic behavior of the vineyard, the quality of the grape and soil erosion. For this, a trial has been carried out with a Graciano variety vineyard with a slope between 10% -20% during the years 2020 and 2021. Conventional tillage management in the area has been compared (4-6 passes per year of tillage machinery) versus spontaneous vegetation cover management in the vineyard. This implies not tilling and allowing the grass of the land to colonize the range between the lines of vines, controlling their height through 1-3 mowing passes per year, always trying to affect the surface of the land as little as possible. The vegetative growth, yield and quality of the grape and wine was measured. Furthermore, erosion has been measured using Gerlasch boxes. The yield was lower in the second year of the trial in the cover crop treatment, but erosion was significantly reduced.

Climate projections over France wine-growing region and its potential impact on phenology

Climate change represents a major challenge for the French wine industry. Climatic conditions in French vineyards have already changed and will continue to evolve. One of the notable effects on grapevine is the advancing growing season. The aim of this study is to characterise the evolution of agroclimatic indicators (Huglin index, number of hot days, mean temperature, cumulative rainfall and number of rainy days during the growing season) at French wine-growing regions scale between 1980 and 2019 using gridded data (8 km resolution, SAFRAN) and for the middle of the 21th century (2046-2065) with 21 GCMs statistically debiased and downscaled at 8 km. A set of three phenological models were used to simulate the budburst (BRIN, Smoothed-Utah), flowering, veraison and theoretical maturity (GFV and GSR) stages for two grape varieties (Chardonnay and Cabernet-Sauvignon) over the whole period studied. All the French wine-growing regions show an increase in both temperatures during the growing season and Huglin index. This increase is accompanied by an advance in the simulated flowering (+3 to +9 days), veraison (+6 to +13 days) and theoretical maturity (+6 to +16 days) stages, which are more noticeable in the north-eastern part of France. The climate projections unanimously show, for all the GCMs considered, a clear increase in the Huglin index (+662 to 771 °C.days compared to the 1980-1999 period) and in the number of hot days (+5.6 to 22.6 days) in all the wine regions studied. Regarding rainfall, the expected evolution remains very uncertain due to the heterogeneity of the climates simulated by the 21 models. Only 4 regions out of 21 have a significant decrease in the number of rainy days during the growing season. The two budburst models show a strong divergence in the evolution of this stage with an average difference of 18 days between the two models on all grapevine regions. The theoretical maturity is the most impacted stage with a potential advance between 40 and 23 days according to wine-growing regions.

Grapevine yield-gap: identification of environmental limitations by soil and climate zoning in Languedoc-Roussillon region (south of France)

Grapevine yield has been historically overlooked, assuming a strong trade-off between grape yield and wine quality. At present, menaced by climate change, many vineyards in Southern France are far from the quality label threshold, becoming grapevine yield-gaps a major subject of concern. Although yield-gaps are well studied in arable crops, we know very little about grapevine yield-gaps. In the present study, we analysed the environmental component of grapevine yield-gaps linked to climate and soil resources in the Languedoc Roussillon. We used SAFRAN data and IGP Pays d’Oc wine yields from 2010 to 2018. We selected climate and soil indicators proving to have a significant effect on average wine yield-gaps at the municipality scale. The most significant factors of grapevine yield were the Soil Available Water Capacity; followed by the Huglin Index and the Climatic Dryness Index. The Days of Frost; the Soil pH; and the Very Hot Days were also significant. Then, we clustered geographical zones presenting similar indicators, facilitating the identification of resources yield-gaps. We discussed the number of zones with the experts of IGP Pays d’Oc label, obtaining 7 zones with similar limitations for grapevine yield. Finally, we analysed the main resources causing yield-gaps and the grapevine varieties planted on each zone. Mapping grapevine resource yield-gaps are the first stage for understanding grapevine yield-gaps at the regional scale.