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…

Vineyards and clay minerals: multi-technique analytical approach and correlations with soil properties

Purpose of this research is to quantitatively assess the mineral component of vineyard soils, with particular attention to the mineralogical analysis of clays, which represent an element of high importance in the vineyard culture as well as in general agriculture. An X-ray diffraction (XRD) / thermogravimetric (TG) multi-technique analytical approach was developed, tested on soil samples taken from vineyards around the world. This codified analytical procedure was necessary to obtain precise qualitative and quantitative mineralogical data, globally comparable to distinguish the geopedological identity of the vineyards. Soil samples from vineyards of various locations were analysed, in very different geological conditions. The bulk-rock quantitative phase analysis (QPA) was obtained by the Rietveld method while the detailed composition of the clay-sized fraction was determined by modelling of the oriented X-ray diffraction patterns. The research provided a precise classification of the mineral component of soils, distinguishing the mineral phases of the clays and the so-called mixed-layer clay minerals. We found that the content in mixed layers can be directly correlated with the water retention and the cation exchange capacity ​​of the soil, while the presence of other clayey minerals and phyllosilicates in this research did not affect this CEC parameter, which codes the fertility level of the soils. The study demonstrates that terroir, in particular soils formed in complex or very different geological conditions, can only be effectively interpreted by properly analysing its mineral phases, in particular the mixed-layer clay component. These are characteristic abiotic ecological indicators, which may have specific eco-physiological influences on the plant.

Climate, Viticulture, and Wine … my how things have changed!

The planet is warmer than at any time in our recorded past and increasing greenhouse emissions and persistence in the climate system means that continued warming is highly likely. Climate change has already altered the basic framework of growing grapes for wine production worldwide and will likely continue to do so for years to come. The wine sector can continue to play an important role in leading the agricultural sector in addressing climate change. From developing on…

Grapevine yield estimation in a context of climate change: the GraY model

Grapevine yield is a key indicator to assess the impacts of climate change and the relevance of adaptation strategies in a vineyard landscape. At this scale, a yield model should use a number of parameters and input data in relation to the information available and be able to reproduce vineyard management decisions (e.g. soil and canopy management, irrigation). In this study, we used data from six experimental sites in Southern France (cv. Syrah) to calibrate a model of grapevine yield limited by water constraint (GraY). Each yield component (bud fertility, number of berries per bunch, berry weight) was calculated as a function of the soil water availability simulated by the WaLIS water balance model at critical phenological phases. The model was then evaluated in 10 grapegrowers’ plots, covering a diversity of biophysical and technical contexts (soil type, canopy size, irrigation, cover crop). We identified three critical periods for yield formation: after flowering on the previous year for the number of bunches and berries, around pre-veraison and post-veraison of the same year for mean berry weight. Yields were simulated with a model efficiency (EF) of 0.62 (NRMSE = 0.28). Bud fertility and number of berries per bunch were more accurately simulated (EF = 0.90 and 0.77, NRMSE = 0.06 and 0.10, respectively) than berry weight (EF = -0.31, NRMSE = 0.17). Model efficiency on the on-farm plots reached 0.71 (NRMSE = 0.37) simulating yields from 1 to 8 kg/plant. The GraY model is an original model estimating grapevine yield evolution on the basis of water availability under future climatic conditions.  It allows to evaluate the effects of various adaptation levers such as planting density, cover crop management, fruit/leaf ratio, shading and irrigation, in various production contexts.

From a local to an international scale: sensory benchmarking of PDO wines. Quincy and Reuilly PDO wines (Sauvignon blanc) as a case study (France)

In a collective marketing strategy, the Protected Designation of Origin (PDO) can be used as a quality indicator. To highlight terroir specificities, it is useful to know how the wines are positioned on the local, national or international market from a sensory point of view. This is especially true for a comparison of varietal wines (e.g. Sauvignon blanc). We focus on the case of two closed Loire Valley PDO (France): Quincy and Reuilly. Three distinct tastings were organized. Firstly, at the local level comparing the 2 PDO (11 and 9 wines, 17 professional assessors); secondly at a regional level adding 3 closed PDO: Menetou-Salon, Sancerre and Pouilly-Fumé (3 wines per PDO, 16 assessors) and thirdly at an international level comparing these 5 PDO with Sauvignon Blanc wines coming from South Africa, New Zealand and Chile (1 to 3 wines per PDO, 19 assessors). All the wines were from the 2019 vintage and were considered to have a traditional elaboration process without contact with oak. A sensory descriptive analysis was performed using an aroma wheel allowing to combine a Check-All-That-Apply methodology, often used in sensory benchmarking, with a hierarchical structuration of the attributes. The aim is to facilitate data acquisition in a professional context without common training, to consider the hierarchical relationships among the attributes during the data analysis and to be able to characterize wines with a large range of sensorial variability. We use univariate, multivariate and clustering analyses. Similarities and differences between Quincy and Reuilly PDO wines and other Sauvignon blanc wines were identified. Specific attributes can distinguish the two PDO and different proximities exist with other local PDO, while clear differences were observed compared to international wines. Our study contributes to propose and discuss a method to do a wine sensory benchmarking highlighting sensory specificities linked to origin.

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.