Terroir 1996 banner
IVES 9 IVES Conference Series 9 La zonazione della Franciacorta: il modello viticolo della DOCG

La zonazione della Franciacorta: il modello viticolo della DOCG

Abstract

[English version below]

La Franciacorta è una piccola regione collinare della provincia di Brescia. Il territorio è molto eterogeneo sia dal punto di vista geologico, che geomorfologico e pedologico. Circa 1.000 ettari sono destinati alla produzione di uve Chardonnay, Pinot bianco e Pinot nero per il vino Franciacorta ottenuto unicamente utilizzando la lunga fermentazione naturale in bottiglia. Al fine della zonazione viticola l’area è stata caratterizzata dal punto di vista climatico, pedologico e vitienologico.
L’inquadramento climatico è stato condotto mediante l’analisi dei dati meteorologici disponibili in relazione alle variabili geografiche e territoriali ad essi correlate (copertura del suolo, giacitura, esposizione, pendenza, distanza dal lago).
L’indagine pedologica condotta nei terreni vitati, ha permesso la produzione di una carta dei suoli in scala 1:25.000 suddivisa in 68 unità cartografiche organizzate in 25 unità di paesaggio. Per l’indagine viticola sono stati individuate 39 parcelle in 26 vigneti rappresentativi della variabilità pedo-climatica e colturale dell ‘area.
In tutte le parcelle e per i tre anni (92, 93 e 94) è stato seguito l’andamento dellefasifenologiche, sono stati rilevati i dati vegeto-produttivi, campionate le dinamiche di maturazione e le caratteristiche qualitativi del mosto. Alla vendemmia è stato raccolto un campione d’uva sufficiente per la microvinificazione.
I vini ottenuti sono stati sottoposti ad analisi sensoriale. L’elaborazione statistica dei dati raccolti, effettuata in tre fasi successive (fase esplorativa, mediante metodi di clustering, per individuare le parcelle con comportamento vegeto-produttivo affine; fase deduttiva per individuare le caratteristiche pedopaesaggistiche comuni ai gruppi definiti nella prima fase, fase validativa, mediante modelli ANOVA, per verificare la significatività statistica delle différente tra le aggregazioni di parcelle) ha consentito di individuare 6 Unità Vocazionali ove il comportamento dei vigneti è risultato diverso negli aspetti vegeto-produttivi, nelle dinamiche della a maturazione nonché nel profilo sensoriale dei vini ottenuti.
La chiave interpretativa di queste aggregazioni è risultata essere legata ai parametri pedologici connessi all’ alimentazione idrica della vite in relazione sia alle possibilità di riserve lungo il profilo radicale, sia alle differenti capacità di drenaggio.

Franciacorta is a small hilly region located in the Brescia province (Northern Italy). Its territory is very heterogeneous both from the geological, geomorphological and pedological point of view. Approximately 1.000 hectares are devoted to yield Chardonnay, Pinot Blanc and noir grapes to produce wine by natural fermentation in bottle. For the viticultural zoning the area has been characterized for the climate, the soils, the viticulture and the enological properties. The climatic variability has been described by the analysis of the available meteorological data in relation to the territorial and geographical variables correlated to it (soil covering, slope, topography, exposition, and distance from the lake).
The pedological survey carried out in the vineyards has hallowed to produce a soil map on a scale of 1:50.000 composed by 68 soil map units organized in 25 landscape units. For the viticultural survey, 39 trial sites representative of soil, climate and agronomical has been chosen. In all the sites for three years (’92, ’93 and ’94) grapevine phenology, yield, and vegetative growth, maturation curves and must composition has been detected. At vintage a sample of grape adequate for microvinification was collected. Wines have been evaluated by sensorial analysis. The statistical data processing carried out by three consecutive steps (exploratory step, by clustering methods, to find the sites with a similar vegetative and productive behavior; deductive step to find the land characteristics which can link the groups defined in the previous step; validation step, by ANOVA models, to verify the statistical significance of the differences detected among the groups) has allowed to define 6 Land Suitability Units, where vineyards resulted different in the vegetative and productive behavior, in the maturation patterns and in sensory properties of the wines. The interpretation key of grouping results was explained by the soil parameters linked to the soil moisture regime both for the available water content and the drainage capacity.

DOI:

Publication date: March 2, 2022

Issue: Terroir 1998

Type: Article

Authors

C.A. PANONT (1), G. COMOLLI (2)

(1) Responsabile ufficio tecnico – Consorzio Vini Franciacorta
(2) Direttore – Consorzio Vini Franciacorta

Keywords

Analisi sensoriale, Cinetiche di maturazione, Franciacorta, Microvinificazioni, Zonazione
Sensory analisys, maturation kinetics, Franciacorta, Microvinificatin, Zoning

Tags

IVES Conference Series | Terroir 1998

Citation

Related articles…

Late frost protection in Champagne

Probably one of the most counterintuitive impacts of climate change on vine is the increased frequency of late frost. Champagne, due to its septentrional position is historically and regularly affected by this meteorological hazard. Champagne has therefore developed a strong experience in frost protection with first experiments dating from the end of 19th century. Frost protection can be divided in two parts: passive and active. Passive protection includes all the methods that do not seek to modify the vine’s environment or resistance at the time of frost. The most iconic passive protection in Champagne is the establishment of the individual reserve. This reserve allows to stock a certain quantity of clear wine during a surplus year to compensate a meteorological hazard like frost during the following years. Other common passive methods are the control of planting area (walls, bushes, topography), the choice of grape variety, late pruning, or the impact of grass cover and tillage. Active frost protection is also divided in two parts. Most of the existing techniques tend to modify vine’s environment. Most of the time they provide warmth (candles, heaters, windmills, heating cables…), or stabilise bud’s temperature above a lethal threshold (water sprinkling). The other way to actively fight is to enhance the resistance of buds to frost (elicitors). The Comité Champagne evaluates frost protection methods following three main axes: the efficiency, the profitability, and the environmental impact through a lifecycle assessment. This study will present the results on both passive and active protection following these three axes.

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.

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.

Better understand the soil wet bulb formation with subsurface or aerial drip irrigation in viticulture

The gradual change in rainfall patterns experienced in the south of France vineyards, especially around the Mediterranean sea, means that the vines are increasingly subject to summer drought. The winegrowers developped the use of irrigation techniques to ensure the maintenance of competitive yields in the production of wines under Protected Geographical Indication label. In practice, drip irrigation pipes can be installed above the ground or buried into the soil as well as at different distances from the vine row. The objective of this study was to examine the profiles of the wet bulbs of the soil obtained from two drip irrigation systems : aerial drip located under the vine row and subsurface drip placed in the middle of the inter-row. This experiment took place over two consecutive seasons (2020-2021) on a 3.4 ha Viognier plot in the Mediterranean region (PGI Oc, France) on sandy clay soil. The annual rainfalls were less than 400 mm. Soil water content probes were installed at different depths (20 – 40 – 60 – 80 cm) and at different lateralities from the vine row (30 – 60 – 90 – 120 cm) to control the formation of the soil wet bulb during irrigation. The mapping and the analysis of the data allowed a better understanding and differentiation of the water percolation when irrigating with subsurface or aerial drip. For the same amount of water and without differences of vine water status, it is shown that in a subsurface drip irrigation situation, the size of the wet bulb formed is larger than in aerial drip irrigation system.

Optimizing stomatal traits for future climates

Stomatal traits determine grapevine water use, carbon supply, and water stress, which directly impact yield and berry chemistry. Breeding for stomatal traits has the strong potential to improve grapevine performance under future, drier conditions, but the trait values that breeders should target are unknown. We used a functional-structural plant model developed for grapevine (HydroShoot) to determine how stomatal traits impact canopy gas exchange, water potential, and temperature under historical and future conditions in high-quality and hot-climate California wine regions (Napa and the Central Valley). Historical climate (1990-2010) was collected from weather stations and future climate (2079-99) was projected from 4 representative climate models for California, assuming medium- and high-emissions (RCP 4.5 and 8.5). Five trait parameterizations, representing mean and extreme values for the maximum stomatal conductance (gmax) and leaf water potential threshold for stomatal closure (Ψsc), were defined from meta-analyses. Compared to mean trait values, the water-spending extremes (highest gmax or most negative Ysc) had negligible benefits for carbon gain and canopy cooling, but exacerbated vine water use and stress, for both sites and climate scenarios. These traits increased cumulative transpiration by 8 – 17%, changed cumulative carbon gain by -4 – 3%, and reduced minimum water potentials by 10 – 18%. Conversely, the water-saving extremes (lowest gmax or least negative Ψsc) strongly reduced water use and stress, but potentially compromised the carbon supply for ripening. Under RCP 8.5 conditions, these traits reduced transpiration by 22 – 35% and carbon gain by 9 – 16% and increased minimum water potentials by 20 – 28%, compared to mean values. Overall, selecting for more water-saving stomatal traits could improve water-use efficiency and avoid the detrimental effects of highly negative canopy water potentials on yield and quality, but more work is needed to evaluate whether these benefits outweigh the consequences of minor declines in carbon gain for fruit production.