Terroir 2010 banner
IVES 9 IVES Conference Series 9 Valutazione dell’equilibrio vegeto-produttivo con metodiche di proximal sensing

Valutazione dell’equilibrio vegeto-produttivo con metodiche di proximal sensing

Abstract

Nel biennio 2008-2009, nell’ambito di un progetto multidisciplinare coordinato e finanziato dal Consorzio Tuscania, 4 vigneti in differenti zone della Toscana sono stati monitorati con strumenti di proximal sensing al fine di valutare la variabilità riscontrabile e ottenere delle indicazioni sulle risposte vegetative delle piante e quanti-qualitative delle produzioni. La creazione di mappe di NDVI (uno degli indici di vegetazione più comunemente utilizzati) e di spessore delle chiome (CT, derivato dalla lettura dei sensori ad ultrasuoni), ha permesso di evidenziare nette differenze tra i vigneti studiati e all’interno dei singoli appezzamenti, oltre ad una forte influenza temporale sulle caratteristiche delle chiome; tali evidenze sono state confermate da un’analisi della varianza multivariata. I dati rilevati sono stati correlati con alcuni indici comunemente utilizzati per la valutazione vegeto-produttiva delle piante ottenendo delle correlazioni significative, a conferma della validità dei rilievi effettuati e del loro possibile utilizzo come metodo di monitoraggio della situazione esistente in vigneto e di supporto nei processi decisionali

English version: In 2008, collaborating with Tuscania Consortium, Ibimet of Florence and IASMA, a research was started with the aim of understanding and monitoring existing variability in vineyards and, basing on it, evaluating agronomical practices useful for qualitative and quantitative responses optimization. With this purpose, some experimental parcels were chosen in 4 different Sangiovese and Cabernet S. vineyards placed in 3 areas of Tuscany. Parcels were made by the use of different canopy management techniques in various vigour zones. In established periods (fruit setting, veraison and before technological maturity) some instrumental records were made, using ATV mounted optical and ultrasonic sensors; at the same time, indirect measurements of leaf surface and a Point Quadrat were performed. Statistical analysis allowed to validate instrumental relives and to underline the capability of the system of surveying both spatial and temporal variability both an artificial one, made by agronomical practices.

DOI:

Publication date: October 8, 2020

Issue: Terroir 2010

Type: Article

Authors

P. Carnevali (1), L. Brancadoro (1), S. Di Blasi (2), M. Pieri (2)

(1) Dipartimento di Produzione Vegetale, Università degli Studi di Milano. Via Celoria 2, Milano, Italia
(2) Società Consortile Tuscania s.r.l. Piazza Strozzi 1, Firenze, Italia

Contact the author

Keywords

Proximal Sensing – GreenSeeker – Ultrasounds – Vegetative expression

Tags

IVES Conference Series | Terroir 2010

Citation

Related articles…

Sustaining wine identity through intra-varietal diversification

With contemporary climate change, cultivated Vitis vinifera L. is at risk as climate is a critical component in defining ecologically fitted plant materiel. While winegrowers can draw on the rich diversity among grapevine varieties to limit expected impacts (Morales-Castilla et al., 2020), replacing a signature variety that has created a sense of local distinctiveness may lead to several challenges. In order to sustain wine identity in uncertain climate outcomes, the study of intra-varietal diversity is important to reflect the adaptive and evolutionary potential of current cultivated varieties. The aim of this ongoing study is to understand to what extent can intra-varietal diversity be a climate change adaptation solution. With a focus on early (Sauvignon blanc, Riesling, Grolleau, Pinot noir) to moderate late (Chenin, Petit Verdot, Cabernet franc) ripening varieties, data was collected for flowering and veraison for the various studied accessions (from conservatory plots) and clones. For these phenological growing stages, heat requirements were established using nearby weather stations (adapted from the GFV model, Parker et al., 2013) and model performances were verified. Climate change projections were then integrated to predict the future behaviour of the intra-varietal diversity. Study findings highlight the strong phenotypic diversity of studied varieties and the importance of diversification to enhance climate change resilience. While model performances may require improvements, this study is the first step towards quantifying heat requirements of different clones and how they can provide adaptation solutions for winegrowers to sustain local wine identity in a global changing climate. As genetic diversity is an ongoing process through point mutations and epigenetic adaptations, perspective work is to explore clonal data from a wide variety of geographic locations.

Use of a new, miniaturized, low-cost spectral sensor to estimate and map the vineyard water status from a mobile 

Optimizing the use of water and improving irrigation strategies has become increasingly important in most winegrowing countries due to the consequences of climate change, which are leading to more frequent droughts, heat waves, or alteration of precipitation patterns. Optimized irrigation scheduling can only be based on a reliable knowledge of the vineyard water status.

In this context, this work aims at the development of a novel methodology, using a contactless, miniaturized, low-cost NIR spectral tool to monitor (on-the-go) the vineyard water status variability. On-the-go spectral measurements were acquired in the vineyard using a NIR micro spectrometer, operating in the 900–1900 nm spectral range, from a ground vehicle moving at 3 km/h. Spectral measurements were collected on the northeast side of the canopy across four different dates (July 8th, 14th, 21st and August 12th) during 2021 season in a commercial vineyard (3 ha). Grapevines of Vitis vinifera L. Graciano planted on a VSP trellis were monitored at solar noon using stem water potential (Ψs) as reference indicators of plant water status. In total, 108 measurements of Ψs were taken (27 vines per date).

Calibration and prediction models were performed using Partial Least Squares (PLS) regression. The best prediction models for grapevine water status yielded a determination coefficient of cross-validation (r2cv) of 0.67 and a root mean square error of cross-validation (RMSEcv) of 0.131 MPa. This predictive model was employed to map the spatial variability of the vineyard water status and provided useful, practical information towards the implementation of appropriate irrigation strategies. The outcomes presented in this work show the great potential of this low-cost methodology to assess the vineyard stem water potential and its spatial variability in a commercial vineyard.

austrianvineyards.com: online viewer of all designations of Austrian wine

To digitally record and present all the origins of Austrian wines in the same perfect and clear way was the motivation for the Austrian Wine Marketing Board (Austrian Wine) to start with the project in 2018. In June 2021 the results were presented to the public in an online viewer showing all the designations of Austrian wine, available at https://austrianvineyards.com in a largely barrier-free manner. The online viewer provides tailored individual maps fitted to the respective zoom level. The smallest unit of wine-origins in Austria is called Ried and is displayed in a plot-specific manner highlighting areas under vine. Information on the Ried include administrative district, winegrowing municipality, cadastral municipality, large collective vineyard site, specific winegrowing region, generic winegrowing region, winegrowing area and, in many cases, an illustrative picture. Complementary data on the size, elevation (minimum-maximum), orientation (in 8 sectors plus flat) and gradient (minimum, maximum, average) are based on the area under vine according to the EU’s Integrated Administration and Control System. Additional information covers climate data. The diagrams are taken from the monthly breakdown of data in the annals of the Central Institute for Meteorology and Geodynamics, Austria provide a display of values for air temperature, precipitation, and sunshine hours for the reference year and the long-term average. Seasonal aggregated data on temperature, precipitation, and sunshine hours complete the display. Short descriptions with emphasis on geology and soil, field name in historical maps, etymology of the denomination, and main planted variety complements the available information for the main designations in the online viewer. These descriptions are compiled by winegrowers, geologists, historians, and journalists. All the information and data can be extracted to a pdf-file. Printed vineyard maps are also available. Missing content regarding wine origins in Styria will be completed in winter 2021/22.

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…

Legacy of land-cover changes on soil erosion and microbiology in Burgundian vineyards

Soils in vineyards are recognized as complex agrosystems whose characteristics reflect complex interactions between natural factors (lithology, climate, slope, biodiversity) and human activities. To date, most of the unknown lies in an incomplete understanding of soil ecosystems, and specifically in the microbial biodiversity even though soil microbiota is involved in many key functions, such as nutrient cycling and carbon sequestration. Soil biological properties are indicative of soil quality. Therefore, understanding how soil communities are related to soil ecosystem functioning is becoming an essential issue for soil strategy conservation. Here, we propose to assess the importance of land-cover history on the present-day microbiological and physico-chemical properties. The studied area was selected in the Burgundian vineyards (Pernand-Vergelesses, Burgundy, France) where land occupation has been reconstructed over the last 40 years. Soil samples were collected in five areas reflecting various land cover history (forest, vineyards, shifting from forest to vineyards). For each area, physico-chemical parameters (pH, C, N, P, grain size) were measured and DNA was extracted to characterize the abundance and diversity of microbial communities. The obtained results show significant differences in the five areas suggesting that present-day microbial molecular biomass and bacterial taxonomic is partly inherited from past land occupation. Over longer period of time, such study of land-uses legacies may help to better assess ecosystem recovery and the impact of management practices for a better soil quality and vineyards sustainability.