GiESCO 2019 banner
IVES 9 IVES Conference Series 9 GiESCO 9 GiESCO 2019 9 Climate change 9 The temperature‐based grapevine sugar ripeness (GSR) model for adapting a wide range of Vitis vinifera L. cultivars in a changing climate

The temperature‐based grapevine sugar ripeness (GSR) model for adapting a wide range of Vitis vinifera L. cultivars in a changing climate

Abstract

Context and purpose of the study ‐ Temperatures are increasing due to climate change leading to advances in grapevine phenology and sugar accumulation in grape berries. This study aims (i) to develop a temperature‐based model that can predict a range of target sugar concentrations for various cultivars of Vitis vinifera L and (ii) develop extensive classifications for the sugar ripeness of cultivars using the model.

Material and methods ‐ Time series of sugar concentrations were collected from research institutes, extension services and private companies from various European countries. The Day of the Year (DOY) to reach the specified target sugar concentration (170, 180, 190, 200, 210, and 220 g/l) was determined and a range of models tested using these DOYs to develop the best fit model for Vitis vinifera L.

Results ‐ The best fit linear model– Growing Degree Days (parameters: base temperature (t0) = 0°C, start date (Tb) = 91 or 1 April), Northern Hemisphere) – represented the model that required the least parameters and therefore the simplest in application. The model was used to characterise and classify a wide range of cultivars for DOY to reach target sugar concentrations.
The model is referred to as the Grapevine Sugar Ripeness Model (GSR). It is viticulturist‐ friendly as it’s simple in form (linear) and its growing degree day units are easily calculated by adding average temperatures (base temperature was optimized at 0°C) derived from weather stations from the 91th day of the year (Northern Hemisphere). The classifications based on this model can inform cultivar choice as an alternative adaptation strategy to climate change, where changing cultivars may prevent the harvesting of grapes at high sugar concentrations which leads to higher alcohol wines.

DOI:

Publication date: June 19, 2020

Issue: GiESCO 2019

Type: Article

Authors

Amber K. PARKER (1), Inaki GARCÍA DE CORTÁZAR‐ATAURI (2), Laurence GÉNY (3), Jean‐Laurent SPRING (4), Agnès DESTRAC (5), Hans SCHULTZ (6), Manfred STOLL (6), Daniel MOLITOR (7), Thierry LACOMBE (8), Antonio GRACA (9), Christine MONAMY (10), Paolo STORCHI (11), Mike TROUGHT (12), Rainer HOFMANN (1), Cornelis VAN LEEUWEN (5)

(1) Department of Wine, Food and Molecular Biosciences, Faculty of Agriculture and Life Sciences, PO Box 85084, Lincoln University, Lincoln 7647, Christchurch, New Zealand
(2) Institut National de la Recherche Agronomique (INRA), US 1116 AGROCLIM, F-84914 Avignon, France
(3) Institut des Sciences de la Vigne et du Vin, Université de Bordeaux, Unité de Recherche Oenologie EA 4577 – USC 1366 INRA, 210 chemin de Leysotte – CS 50008, 33882 Villenave d’Ornon cedex
(4) Agroscope, Av. de Rochettaz 21,1009 Pully, Switzerland
(5) EGFV, Bordeaux Sciences Agro, INRA, Univ. Bordeaux, ISVV, 33883 Villenave d’Ornon, France
(6) Hochschule, Giesenheim University, Von-Lade-Straße 1, D-65366 Geisenheim
(7) Luxembourg Institute of Science and Technology (LIST), Environmental Research and Innovation (ERIN) Department 41, rue du Brill, L-4422 Belva, Luxembourg
(8) Institut National de la Recherche Agronomique (INRA), AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, 2 place Viala, F-34060 Montpellier, France
(9) Sogrape Vinhos S.A., R. 5 de Outubro 558, 4430-809 Avintes, Portugal
(10) Bureau Interprofessionnel des Vins de Bourgogne – BIVB, 12 boulevard Bretonnière, 21200, Beaune, France
(11) CREA – Centro di ricerca Viticoltura ed Enologia, Viale Santa Margherita 80 52100 – Arezzo, Italy 12The New Zealand Institute for Plant and Food Research Limited, Blenheim 7240, New Zealand, Department of Wine, Food and Molecular Biosciences, Faculty of Agriculture and Life Sciences, PO Box 85084, Lincoln University, Lincoln 7647, Christchurch, New Zealand

Contact the author

Keywords

modelling, temperature, sugar, cultivars, climate change

Tags

GiESCO 2019 | IVES Conference Series

Citation

Related articles…

Effect of partial net shading on the temperature and radiation in the grapevine canopy, consequences on the grape quality of cv. Gros Manseng in PDO Pacherenc-du-vic-Bilh

As elsewhere, southwestern France vineyards face more recurrent summer heat waves these last years. Among the possibilities of adaptation to this climate changing parameter, the use of net shading is a technique that allow for limiting canopy exposure to radiations. In this trial, we tested net shading installed on one face of the canopy, on a north-south row-oriented plot of cv. Gros Manseng trained on VSP system in the PDO Pacherenc-du-Vic-Bilh. The purpose was to characterize the effects on the ambient canopy temperatures and radiations during the season and to observe the consequences on the composition of grapes and wines. Two sorts of net were used with two levels of obstruction (50% and 75%) of the photosynthesis active radiation (PAR). They have been installed on the west side of the canopy and compared to a netless control. Temperature and PAR sensors registered hourly data during the season. On specific summer day (hot and sunny) manual measurements took also place on bunches (temperature) and in different spots of the canopy (PAR). The results showed that, on clear days, the radiation is lowered by the shade nets respecting the supplier criteria. The effects on the ambient canopy temperature were inconstant on this plot when we observed the data from the global period of shading between fruit set and harvest. However, during hot days (>30°C), the temperature in the canopy was reduced during afternoon and the temperature of the bunch surface was reduced as well comparing to the control. A decrease of the maturity parameters of the berries, sugar and acidity, was also observed. Concerning the wine aromatic potential, no differences clearly appeared.

Metabolomic discrimination of grapevine water status for Chardonnay and Pinot noir

Water status impact in viticulture has been widely explored, as it strongly affects grapevine physiology and grape chemical composition. It is considered as a key component of vitivinicultural terroir. Most of the studies concerning grapevine water status have focused on either physiological traits, or berry compounds, or traits involved in wine quality. Here, the response of grapevine to water availability during the ripening period is assessed through non-targeted metabolomics analysis of grape berries by ultra-high resolution mass spectrometry. The grapevine water status has been assessed during 2 consecutive years (2019 & 2020), through carbon isotope discrimination on juices from berries collected at maturity (21.5 brix approx.) for 2 Vitis vinifera cv. Pinot noir (PN) and Chardonnay (CH). A total of 220 grape juices were collected from 5 countries worldwide (Italy; Argentina; France; Germany; Portugal). Measured δ13C (‰) varied from -28.73 to -22.6 for PN, and from -28.79 to -21.67 for CH. These results also clearly revealed higher water stress for the 2020 vintage. The same grape juices have been analysed by Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR-MS) and Liquid Chromatography coupled to Mass Spectrometry (LC-qTOF-MS), leading to the detection of up to 4500 CHONS containing elemental compositions, and thus likely tens of thousands of individual compounds, which include fatty acids, organic acids, peptides, phenolics, also with high levels of glycosylation. Multivariate statistical analysis revealed that up to 160 elemental compositions, covering the whole range of detected masses (100 –1000 m/z), were significantly correlated to the observed gradients of water status. Examples of chemical markers, which are representative of these complex fingerprints, include various derivatives of the known abscisic acid (ABA), such as phaesic acid or abscisic acid glucose ester, which are significantly correlated with higher water stress, regardless of the variety. Cultivar-specific behaviours could also be identified from these fingerprints. Our results provide an unprecedented representation of the metabolic diversity, which is involved in the water status regulation at the grape level, and which could contribute to a better knowledge of the grapevine mitigation strategy in a climate change context.

The impact of sustainable management regimes on amino acid profiles in grape juice, grape skin flavonoids, and hydroxycinnamic acids

One of the biggest challenges of agriculture today is maintaining food safety and food quality while providing ecosystem services such as biodiversity conservation, pest and disease control, ensuring water quality and supply, and climate regulation. Organic farming was shown to promote biodiversity and carbon sequestration, and is therefore seen as one possibility of environmentally friendly production. Consumers expect organically grown crops to be free from chemical pesticides and mineral fertilizers and often presume that the quality of organically grown crops is different or higher compared to conventionally grown crops. Integrated, organic, and biodynamic viticulture were compared in a replicated field trial in Geisenheim, Germany (Vitis vinifera L. cv. Riesling). Amino acid profiles in juice, grape skin flavonoids, and hydroxycinnamic acids were monitored over three consecutive seasons beginning 7 years after conversion to organic and biodynamic viticulture, respectively. In addition, parameters such as soil nutrient status, yield, vigor, canopy temperature, and water stress were monitored to draw conclusions on reasons for the observed changes. Results revealed that the different sustainable management regimes highly differed in their amino acid profiles in juice and also in their skin flavonol content, whereas differences in the flavanol and hydroxycinnamic acid content were less pronounced. It is very likely that differences in nutrient status and yield determined amino acid profiles in juice, although all three systems showed similar amounts of mineralized nitrogen in the soil. Canopy structure and temperature in the bunch zone did not differ among treatments and therefore cannot account for the observed differences in favonols. A different light exposure of the bunches in the respective systems due to differences in vigor together with differences in berry size and a different water status of the vines might rather be responsible for the increase in flavonol content under organic and biodynamic viticulture.

Towards a regional mapping of vine water status based on crowdsourcing observations

Monitoring vine water status is a major challenge for vineyard management because it influences both yield and harvest quality. It is also a challenge at the territorial scale for identifying periods of high water restriction or zones regularly impacted by water stress. This information is of major importance for defining collective strategies, anticipating harvest logistic or applying for irrigation authorisation. At this spatial scale, existing tools and methods for monitoring vine water status are few and often require strong assumptions (e.g. water balance model). This paper proposes to consider a collaborative collection of observations by winegrowers and wine industry stakeholders (crowdsourcing) as an interesting alternative. Indeed, it allows the collection of a large number of field observations while pooling the collection effort. However, the feasibility of such a project and its interest in monitoring vine water status at regional scale has never been tested.

The objective of this article is to explore the possibility of making a regional map of vine water status based on crowdsourcing observations. It is based on the study of the free mobile application ApeX-Vigne, which allows the collection of observations about vine shoot growth. This information is easy to collect and can be considered, under certain conditions, as a proxy for vine water status. This article presents the first results obtained from the nearly 18,000 observations collected by winegrowers and wine industry stakeholders during 2019, 2020 and 2021 seasons. It presents the vine shoot growth maps obtained at regional scale and their evolution over the three vintages studied. It also proposes an analysis of the factors that favoured the number of observations collected and those that favoured their quality. These results open up new perspectives for monitoring vine water status at a regional scale but above they provide references for other crowdsourcing projects in viticulture.

Modeling island and coastal vineyards potential in the context of climate change

Climate change impacts regional and local climates, which in turn affects the world’s wine regions. In the short term, these modifications rises issues about maintaining quality and style of wine, and in a longer term about the suitability of grape varieties and the sustainability of traditional wine regions. Thus, adaptation to climate change represents a major challenge for viticulture. In this context, island and coastal vineyards could become coveted areas due to their specific climatic conditions. In regions subject to warming, the proximity of the sea can moderate extremes temperatures, which could be an advantage for wine. However, coastal and island areas are particular prized spaces and subject to multiple pressures that make the establishment or extension of viticulture complex.
In this perspective, it seems relevant to assess the potentialities of coastal and island areas for viticulture. This contribution will present a spatial optimization model that tends to characterize most suitable agroclimatic patterns in historical or emerging vineyards according to different scenarios. Thanks to an in-depth bibliography a global inventory of coastal and insular vineyards on a worldwide scale has been realized. Relevant criteria have been identified to describe the specificities of these vineyards. They are used as input data in the optimization process, which will optimize some objectives and spatial aspects. According to a predefined scenario, the objectives are set in three main categories associated with climatic characteristics, vineyards characteristics and management strategies. At the end of this optimization process, a series of maps presents the different spatial configurations that maximize the scenario objectives.