Terroir 2010 banner
IVES 9 IVES Conference Series 9 Sviluppo di una metodologia di tracciabilità e definizione dell’impronta petrochimica in suoli e vini della Sicilia occidentale nella piana di Marsala (TP)

Sviluppo di una metodologia di tracciabilità e definizione dell’impronta petrochimica in suoli e vini della Sicilia occidentale nella piana di Marsala (TP)

Abstract

[English version below]

I risultati delle ricerche condotte in un vigneto sperimentale di Marsala (TP), scelto per omogeneità di fattori bio-agronomici (età, tecniche colturali, potenzialità vegetativa e produttiva), consentono di definire l’impronta geochimica in uve e vini ereditate dai suoli. Ai fini della ricerca sono stati prelevati 24 campioni di suolo – 6 per ogni varietà – in corrispondenza degli apparati radicali delle quattro cultivars indagate: Nero D’Avola, Refosco dal peduncolo rosso, Fiano e Verdicchio. I suoli sono stati caratterizzati mediante analisi chimiche in XRF (X ray Fluorescence) ed i vini in ICP-MS (Inductively Coupled Plasma-Mass Spectrometry).
La piana di Marsala rappresenta, infatti, un’area test ideale per la tipologia di suolo e per la presenza, nell’alta pianura, di un acquifero di buona qualità attualmente non degradato per fenomeni di salinizzazione. L’area inoltre ricade nella fascia sensibile alla desertificazione che è da alcuni anni oggetto di indagine tramite numerosi progetti e programmi di ricerca, ed il monitoraggio delle caratteristiche di uve e vini nelle varie annate può fornire un contributo alla comprensione di questi effetti. L’analisi delle varie cultivars è focalizzata alla ricerca dei vitigni meno sensibili allo stress climatico al fine di pianificare interventi di qualificazione in grado di affrontare l’impatto che i cambiamenti climatici produrranno nei prossimi anni nell’area mediterranea. Questo lavoro ha cercato di definire i tenori di fondo dei macro e micronutrienti inorganici e di acquisire la banca dati essenziale per la valutazione delle ricadute dei cambiamenti climatici e degli effetti della desertificazione sulla qualità dei vini.

Research studies carried out on a vineyard, selected on the basis of the bio-agronomic factors’ homogeneity (age, cultivation techniques, production capability…), in the Marsala Plain (TP) Sicily, have permitted to define geochemical fingerprints inherited by grapes and wines. 24 soil’s samples (gathered in correspondence of the root system) of 4 different cultivar types (6 from Nero D’Avola, 6 from Refosco dal peduncolo rosso, 6 from Fiano and 6 from Verdicchio) were collected. The soil samples were characterized by XRF chemical analysis and the wine samples were analysed by ICP-MS technique.
The Marsala Plain is test site both for soils and for the presence of an aquifer characterized by good quality of water and lack of salinisation processes. These pilot site is located in an area currently interested by desertification phenomena and for this reason carefully monitored. This situation can be helpful in order to characterize the features of grapes and wines in several vintage years contributing on the comprehension of the effects of desertification on the production of wine. Analysis of different cultivar were focused on the definition of particular grapevine varieties less sensitive to climatic stress conditions, in order to plan suitable qualification actions to face the impact of climatic changes foreseen in the Mediterranean area.
The aim of this study is to define the background standard values for inorganic macro and micronutrients, acquiring
the essential data set useful for the evaluation of climatic changes and desertification effects on the wine quality.

DOI:

Publication date: December 3, 2021

Issue: Terroir 2010

Type: Article

Authors

D. Ferioli (1), E. Marrocchino (2), P. Bartolomei (3), R. Tassinari (2), C. Vaccaro (2), L. Sansone (4), N. Belfiore (4), A. Sparacio (5)

(1) U-SERIES, Via Ferrarese, 131, 40128 Bologna, Italia
(2) Dipartimento di Scienze della Terra, Università di Ferrara, Via Saragat 1, 44100 Ferrara, Italia
(3) ENEA, via dei Colli, 16, 40136 Bologna, Italia
(4) CRA-VIT Centro di Ricerca per la Viticoltura, Viale XXVIII Aprile, 26 31015 Conegliano (TV), Italia
(5) IRVV Istituto Regionale della Vite e del Vino, Via Libertà, 66 90143 Palermo, Italia

Contact the author

Keywords

Uve, vini, suolo, desertificazione
Grapes, wines, soil, desertification

Tags

IVES Conference Series | Terroir 2010

Citation

Related articles…

Different soil types and relief influence the quality of Merlot grapes in a relatively small area in the Vipava Valley (Slovenia) in relation to the vine water status

Besides location and microclimatic conditions, soil plays an important role in the quality of grapes and wine. Soil properties influence…

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.

Impact on leaf morphology of Vitis vinifera L. cvs Riesling and Cabernet Sauvignon under Free Air Carbon dioxide Enrichment (FACE)

Atmospheric carbon dioxide (CO2) concentration has continuously increased since pre-industrial times from 280 ppm in 1750, and is predicted to exceed 700 ppm by the end of 21st century. For most of C3 plant species elevated CO2 (eCO2) improve photosynthetic apparatus results in an increased plant biomass production. To investigate the effects of eCO2 on morphological leaf characteristics the two Vitis vinifera L. cultivars, Riesling and Cabernet Sauvignon, grown in the Geisenheim VineyardFACE (Free Air Carbon dioxide Enrichment) system were used. The FACE site is located at Geisenheim University (49° 59′ N, 7° 57′ E, 94 m above sea level), Germany and was implemented in 2014 comparing future atmospheric CO2-concentrations (eCO2, predicted for the mid-21st century) with current ambient CO2-conditions (aCO2). Experiments were conducted under rain-fed conditions for two consecutive years (2015 and 2016). Six leaves per repetition of the CO2 treatment were sampled in the field and immediately fixed in a FAA solution (ethanol, H2O, formaldehyde and glacial acetic acid). After 24 h leaf samples were transferred and stored in an ethanol solution. Subsequently, leaf tissue was dehydrated using ethanol series and embedded in paraffin. By using a rotary microtomesections of 5 µm were prepared and fixed on microscopic slides. Subsequent the samples were stained using consecutive staining and washing solutions. Afterwards pictures of the leaf cross-sections were taken using a light microscope and consecutive measurements were conducted with an open source image software. Differences found in leaf cross-sections of the two CO2 treatments were detected for the palisade parenchyma. Leaf thickness, upper and lower epidermis and spongy parenchyma remained less affected under eCO2 conditions. The observed results within grapevine leaf tissues can provide first insights to seasonal adaptation strategies of grapevines under future elevated CO2 concentrations.

Estimating bulk stomatal conductance of grapevine canopies

In response to changes in their environment, grapevines regulate transpiration using various physiological mechanisms that alter conductance of water through the soil-plant-atmosphere continuum. Expressed as bulk stomatal conductance at the canopy scale, it varies diurnally in response to changes in vapor pressure deficit and net radiation, and over the season to changes in soil water deficits and hydraulic conductivity of both soil and plant. It is necessary to characterize the response of conductance to these variables to better model how vine transpiration also responds to these variables. Furthermore, to be relevant for vineyard-scale modeling, conductance is best characterized using data collected in a vineyard setting. Applying a crop canopy energy flux model developed by Shuttleworth and Wallace, bulk stomatal conductance was estimated using measurements of individual vine sap flow, temperature and humidity within the vine canopy, and estimates of net radiation absorbed by the vine canopy. These measurements were taken on several vines in a non-irrigated vineyard in Bordeaux France, using equipment that did not interfere with ongoing vineyard operations. An inverted Penman-Monteith equation was then used to calculate bulk stomatal conductance on 15-minute intervals from July to mid-September 2020. Time-series plots show significant diurnal variation and seasonal decreases in conductance, with overall values similar to those in the literature. Global sensitivity analysis using non-parametric regression found transpiration flux and vapor pressure deficit to be the most important input variables to the calculation of bulk stomatal conductance, with absorbed net radiation and bulk boundary layer conductance being much less important. Conversely, bulk stomatal conductance was one of the most important inputs when calculating vine transpiration, further emphasizing the need for characterizing its response to environmental changes for use in vineyard water use modeling.

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.