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…

VINIoT – Precision viticulture service

The project VINIoT pursues the creation of a new technological vineyard monitoring service, which will allow companies in the wine sector in the SUDOE space to monitor plantations in real time and remotely at various levels of precision. The system is based on spectral images and an IoT architecture that allows assessing parameters of interest viticulture and the collection of data at a precise scale (level of grape, plant, plot or vineyard) will be designed. In France, three subjects were specifically developed: evaluation of maturity, of water stress, and detection of flavescence dorée. For the evaluation of maturity, it has been decided first to work at the berry scale in the laboratory, then at the bunch scale and finally in the vineyard. The acquisition of the spectral hyperstal image as well as the reference analyzes to measure the maturity, were carried out in the laboratory after harvesting the berries in a maturity monitoring context. This work focuses on a case study to predict sugar content of three different grape varieties: Syrah, Fer Servadou and Mauzac. A robust method called Roboost-PLSR, developed in the framework of this work (Courand et al., 2022), to improve prediction model performance was applied on spectra after the acquirement of hyperspectral images. Regarding the evaluation of water stress, to work with a significant variability in terms of water status, it has been worked first with potted plants under 2 different water regimes. The facilities have allowed the supervision of irrigation and micro-climatic conditions. The regression models on agronomic variables (stomatal conductance, water potential, …) are studied. To detect flavescence dorée, the experimental plan has consisted of work at leaf scale in the laboratory first, and then in the field. To detect the disease from hyper-spectral imaging, a combination of multivariate curve resolution-alternating least squares (MCR-ALS) and factorial discriminant analysis (FDA) was proposed. This strategy proved the potential towards the discrimination of healthy and infected leaves by flavescence dorée based on the use of hyperspectral images (Mas Garcia et al., 2021).

Under-vine management effects on grapevine production, soil properties and plant communities in South Australia

Under-vine (UV) management has traditionally consisted of synthetic herbicide use to limit competition between weeds and grapevines. With growing global interest towards non-synthetic chemical use, this study aimed to capture the effects of alternative UV management at two commercial Shiraz vineyards in South Australia, where the sole management variables were UV management since 2016. In adjacent treatment blocks, cultivation (CU) was compared to spontaneous vegetation (SV) in McLaren Vale (MV), and herbicide was compared to SV in Eden Valley (EV). Soil water infiltration rates were slower and grapevine stem water potential was lower in CU compared to SV in MV, with the latter having a plant community dominated by soursob (Oxalis pes-caprae) during winter; while in EV, there was little separation between the treatments. Yields were affected at both sites, with SV being higher in MV and HE being higher in EV. In MV, the only effect on grape must was a lower 13C:12C isotope ratio in CU, indicating greater grapevine water stress. In the grape must at EV, SV had higher total soluble solids, total phenolics, anthocyanins, and yeast available nitrogen; and lower pH and titratable acidity. Pruning weights were not affected by the treatments in MV, while they were higher in HE at EV. Assessments revealed that the differing soil types at the two sites were likely the main determinants of the opposing production outcomes associated with UV management. In the silty loam soil of MV, the higher yields in SV were likely due to more plant-available water, as a potential result of the continuous soil bio-pores formed by winter UV vegetation. Conversely, in the loamy sand soils of EV with a lower cation exchange capacity, the lower yields and pruning weights in SV suggest the UV vegetation competed significantly with the grapevines for available water and nutrients.

Local ancient grapevine cultivars to face future viticulture

Among the different strategies to cope with the negative impacts of climate change on viticulture, the exploitation of genetic diversity is one of the most promising to adapt to new conditions and maintain wine production and quality. One of the biggest concerns in the context of climate change is to improve water use efficiency (WUE). In this way, the use of genotypes that present a better response to drought and high WUE is a key issue. In this work, physiological performance analysis was conducted to compare the water deficit stress (WDS) responses of local and widespread grapevines cultivars. Leaf gas exchange, water use efficiency (WUE) at different levels (leaf and long-term WUE (∆13C)), leaf osmotic adjustment and other water relations parameters were determined in plants under well-watered and WDS conditions alongside assessment of the levels of foliar hormones concentrations. Results denote that local cultivars displayed better physiological performance under WDS as compared to the widely-distributed ones. he results corroborate the hypothesis that better stomatal control allows increasing leaf WUE under drought as occurred in the local Callet cv.; but the minority local cultivar Escursac cv. showed high WUE under both treatments. In this case, high WUE can be related to maintaining higher photosynthetic activity under drought. The different mechanisms underlying the better performance under WDS and high WUE of minority local cultivars are discussed.

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.

Organic recycled mulches in sustainable viticulture: assessment of spontaneous plants communities and weed coverage

In recent years, developing more efficient and sustainable viticulture management has been essential due to the impact of climate change in semiarid regions. For this reason, the use of recycled organic mulching (ROM) in the vineyard has become an interesting strategy to cope with water stress, isolated soil from extreme temperatures and improving soil humidity, control the presence of weeds and therefore reduce the inputs of herbicides and improve soil fertility. This work aimed to analyse the effect of three different organic mulches [straw (S), grape pruning debris (GPD) and spent mushroom compost (SMC)] and two traditional soil management techniques [herbicide (H) and interrow (IN)] on weed coverage and the spontaneous plant communities’ presence. Data sampling was collected throughout the vine vegetative cycle of 2021 in La Rioja, Spain. The different soil management techniques had a clear effect on weed coverage and his development during the vine vegetative cycle. SMC and H were the treatments with the highest and the lowest coverage percentage, respectively. IN had a delayed weed emergence at the beginning of the vine vegetative cycle, but finally it reached maximum values nearby SMC. GPD and S had similar effects on weed emergence, reaching 25-30% of the maximum coverage values. A total of 29 herbaceous species were identified during the vegetative cycle, some of them very isolated and occasional. Principal component analysis (PCAs) showed a good association between spontaneous species and treatments, furthermore, specific species-treatment associations were found. Moreover, three clear groups of herbaceous communities were identified by cluster analysis. This study provides interesting information about the effect of different alternative soil management on herbaceous plant coverage and weed species communities which could contribute to making more sustainable viticulture.