Terroir 1996 banner
IVES 9 IVES Conference Series 9 Application of the simplified quality bioclimatical index of Fregoni: suggestion of using its evolution curve

Application of the simplified quality bioclimatical index of Fregoni: suggestion of using its evolution curve

Abstract

Les indices bioclimatiques constituent un bon outil pour piloter le développement vitivinicole dans une région précise. Plusieurs indices bioclimatiques ont été proposés par la littérature mondiale (WINKLER 1970; HIDALGO, 1980; HUGLIN, 1986, TONIETO et CARBONEAU, 2000), mais pour des raisons physiologiques ces indices n’incluent pas dans leurs formules les températures journalières inférieures à 10 °C, à l’exception de l’indice de FREGONI (FREGONI et PEZZUTTO, 2000). Cet auteur établit une relation entre les variations thermiques, les températures inférieures à 10 °C et la qualité des vins, en particulier pour les 30 jours précédant les vendanges. Parmi les indices appliqués au Chili, celui de WINKLER et AMERINE (WINKLER, 1970) est probablement le plus utilisé, cependant il présente quelques liplites (Mc INTYRE et al. 1987; JACKSON et CHERRY, 1988) et des résultats incongrus ont été signalés pour le Chili. En effet, il classe dans le même groupe des zones littorales avec d’autres proches à la cordillère des Andes, présentant des températures moyennes similaires mais avec des variations thermiques sensiblement différentes (SANTIBANEZ et al. (1984).
FREGONI et PEZZUTTO (2000) affirment que le Chili présente les plus hautes variations thermiques journalières pendant le mois précédant la récolte, ce qui justifierait l’utilisation de l’indice de FREGONI pour la vitiviniculture de ce pays.
On a utilisé la formule simplifiée de l’indice de FREGONI (IFss), en multipliant l’amplitude thermique par le nombre de jours au-dessous de 10 °C pour le mois précédant la récolte, sans, prendre en compte le nombre d’heures pendant lesquelles ces températures au-dessous de 10 °C se maintiennent : IFss = Σ (T maxima – T minima)*Σ (N° jours < 10° C). L’indice de FREGONI est calculé pour le mois précédant la récolte, en l’occurrence, le mois de mars pour l’hémisphère sud.
Le calcul de l’indice de FREGONI pour différents lieux de la région du Maule au Chili permet de différencier 4 zones agroclimatiques. Ces valeurs obtenues ne correspondent pas .aux niveaux les plus élevés possibles pour ces zones, qui se produisent généralement pendant le mois d’avril.
Par ailleurs, au Chili et plus particulièrement dans les zones de la région du Maule, les vendanges s’étalent, en fonction du cépage, du mois de février à mai. Par conséquent, le calcul de l’indice uniquement pour le mois de mars se révèle inapproprié.
Afin de mieux caractériser chaque lieu, on propose donc l’utilisation de la courbe d’évolution de IFss, caractérisée par 4 périodes. Cette courbe d’évolution de l’indice peut avoir différentes applications pratiques.

Bioclimatic indices are good tools to orientate the development of viticultural areas. Several bioclimatic indices have been proposed in international literature (WINKLER 1970; HIDALGO, 1980; HUGLIN, 1986, TONIETO et CARBONEAU, 2000) but, for physiological reasons, daily temperatures under 10°C are not included, excepted in FREGONl’s index (FREGONI and PEZZUTTO, 2000). These authors establishes a relationship between daily temperature variations, temperatures under 10°C and wine quality, for the 30 days before harvest.
WINKLER and AMERINE’s index (WINKLER, 1970) is certainly the most frequently used, among different climatic indices used in Chile. However, it has some limitations (Mc INTYRE et al. 1987; JACKSON and CHERRY, 1988) and some wrong results have been reported for Chile. In fact, this index classifies in the same class coastal zones and closed to the Andes mountains areas. For these two areas, average temperatures are similar but daily variations oftemperature are quite different (SANTIBANEZ et al. 1984).
FREGONI and PEZZUTTO (2000) observed that Chile presents the highest daily variations of temperature during the month before harvest and suggested that it could justify the use of FREGONI’ s index for Chilean viticultural areas.
Simplified FREGONI’ s indice (lfss) was used by multiplying daily temperature amplitude and the number of days under 10°C, for the month before harvest, but not regarding duration of temperature under 10°C period: Ifss = S (T maxima – T minima)*S (N° days < 10° C). FREGONI’ s index is calculated for the month before harvest, March for the southern hemisphere.
FREGONI’ s index was applied to different areas of Chilean Maule region and 4 agroclimatic zones were distinguished. Results don’t correspond to the highest potential levels for these areas, generally found in April. In Chile, and more particularly in the Maule region, the harvest period spread from February to May, according to the cultivar. Consequently, FREGONl’s index application only for March is quite inexact. The lfss curve evolution, characterized by 4 periods, is proposed to characterize viticultural areas. This curve presents different practical applications.

 

 

 

DOI:

Publication date: February 15, 2022

Issue:Terroir 2002

Type: Article

Authors

Ph. PSZCZOLKOWSKJ (1), E. ALEMP ARTE (1) and M. I. CARDENAS (2)

(1) Departamento de Fruticultura y Enología
Facultad de Agronomia e Ingenieria Forestal
Pontificia Universidad Catolica de Chile
Casilla 306-22, Santiago, Chile
(2) CIREN-CORFO
Manuel Montt 1164; Santiago, Chile

Contact the author

Keywords

Chili, zonage vitivinicole, indice bioclimatique
Chile, viti-vinicultural zoning, bio-climatic index

Tags

IVES Conference Series | Terroir 2002

Citation

Related articles…

Biodiversity in the vineyard agroecosystem: exploring systemic approaches

Biodiversity conservation and restoration are essential for guarantee the provision of ecosystem services associated to vineyard agroecosystem such as climate regulation trough carbon sequestration and control of pests and diseases. Most of published research dealing with the complexity of the vineyard agroecosystems emphasizes the necessity of innovative approaches, including the integration of information at different temporal and spatial scales and development of systemic analysis based on modelling. A biodiversity survey was conducted in the Franciacorta wine-growing area (Lombardy, Italy), one of the most important Italian wine-growing regions for sparkling wine production, considering a portion of the territory of 112 ha. The area was divided into several Environmental Units (EUs), defined as a whole vineyard or portion of vineyard homogenous in terms of four agronomic characteristics: planting year, planting density, cultivar, and training system. In each EU a set of compartments was identified and characterised by specific variables. The compartments are meteorology, morphology (altitude, slope, aspect, row orientation, and solar irradiance), ecological infrastructures and management. The landscape surrounding EU was also characterised in terms of land-use in a buffer zone of 500 m. For each component a specific methodology was identified and applied. Different statistical approaches were used to evaluate the method to integrate the information related to different compartments within the EU and related to the buffer zone. These approaches were also preliminarily evaluated for their ability to describe the contribution of biodiversity and landscape components to ecosystem services. This methodological exploration provides useful indication for the development of a fully systemic approach to structural and functional biodiversity in vineyard agroecosystems, contributing to promote a multifunctional perspective for the all wine-growing sector.

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.

Co-design and evaluation of spatially explicit strategies of adaptation to climate change in a Mediterranean watershed

Climate change challenges differently wine growing systems, depending on their biophysical, sociological and economic features. Therefore, there is a need to locally design and evaluate adaptation strategies combining several technical options, and considering the local opportunities and constraints (e.g. water access, wine typicity). The case study took place in a typical and heterogeneous Mediterranean vineyard of 1,500 ha in the South of France. We developed a participatory modeling approach to (1) conceptualize local climate change issues and design spatially explicit adaptation strategies with stakeholders, (2) numerically evaluate their effects on phenology, yield and irrigation needs under the high-emissions climate change scenario RCP 8.5, and (3) collectively discuss simulation results. We organized five sets of workshops, with in-between modeling phases. A process-based model was developed that allowed to evaluate the effects of six technical options (late varieties, irrigation, water saving by reducing canopy size, adjusting cover cropping, reducing density, and shading) with various distributions in the watershed, as well as vineyard relocation. Overall, we co-designed three adaptation strategies. Delay harvest strategy with late varieties showed little effects on decreasing air temperature during ripening. Water constraint limitation strategy would compensate for production losses if disruptive adaptations (e.g. reduced density) were adopted, and more land got access to irrigation. Relocation strategy would foster high premium wine production in the constrained mountainous areas where grapevine is less impacted by climate change. This research shows that a spatial distribution of technical changes gives room for adaptation to climate change, and that the collaboration with local stakeholders is a key to the identification of relevant adaptation. Further research should explore the potential of adaptation strategies based on soil quality improvement and on water stress tolerant varieties.

Teasing apart terroir: the influence of management style on native yeast communities within Oregon wineries and vineyards

Newer sequencing technologies have allowed for the addition of microbes to the story of terroir. The same environmental factors that influence the phenotypic expression of a crop also shape the composition of the microbial communities found on that crop. For fermented goods, such as wine, that microbial community ultimately influences the organoleptic properties of the final product that is delivered to customers. Recent studies have begun to study the biogeography of wine-associated microbes within different growing regions, finding that communities are distinct across landscapes. Despite this new knowledge, there are still many questions about what factors drive these differences. Our goal was to quantify differences in yeast communities due to management style between seven pairs of conventional and biodynamic vineyards (14 in total) throughout Oregon, USA. We wanted to answer the following questions: 1) are yeast communities distinct between biodynamic vineyards and conventional vineyards? 2) are these differences consistent across a large geographic region? 3) can differences in yeast communities be tied to differences in metabolite profiles of the bottled wine? To collect our data we took soil, bark, leaf, and grape samples from within each vineyard from five different vines of pinot noir. We also collected must and a 10º brix sample from each winery. Using these samples, we performed 18S amplicon sequencing to identify the yeast present. We then used metabolomics to characterize the organoleptic compounds present in the bottled wine from the blocks the year that we sampled. We are actively in the process of analysing our data from this study.

A predictive model of spatial Eca variability in the vineyard to support the monitoring of plant status

[lwp_divi_breadcrumbs home_text="IVES" use_before_icon="on" before_icon="||divi||400" module_id="publication-ariane" _builder_version="4.19.4" _module_preset="default" module_text_align="center" module_font_size="16px" text_orientation="center"...