GiESCO 2019 banner
IVES 9 IVES Conference Series 9 GiESCO 9 Soil and nutritional survey of Greek vineyards from the prefecture of Macedonia, Northern Greece, and from the island of Santorini

Soil and nutritional survey of Greek vineyards from the prefecture of Macedonia, Northern Greece, and from the island of Santorini

Abstract

Context and purpose of the study-Vitis vinifera L. is one of the most important cultures for the soil and climate conditions of Northern Greece and Santorini. However, very little information is provided with regard to its nutritional requirements and critical levels of nutrient deficiencies and toxicities. The aim of this study was to provide an integrated nutritional survey for the Greek conditions of wine and table varieties.

Materials and Methods- During the period 2012-2017 a high number of soil and leaf samples were collected (from Western and Central Macedonia, and from Santorini) and analyzed, to determine soil fertility and nutrition of Greek vineyards.

Results- Soil results showed that pH varied from approximately 4 to 8.30, organic matter from 0.36% to 7.80%, NO3-N from 0.4 to 81.6 ppm, P from 0.4 to 206 ppm, and exchangeable K and Mg varied from 54 to approximately 1000 ppm, and from 13 to 1608 ppm, respectively. DTPA extractable Fe, Zn, Mn and Cu fluctuated from approximately 1 to 200 ppm, 0.10 to 40 ppm, 0.78 to 60 ppm, and from 0.30 to 176 ppm, respectively. Finally, extractable B varied from 0.10 to approximately 16 ppm. With regard to foliar nutrient concentrations, wine and table varieties from Central Macedonia showed leaf N levels from 2.3 to 3.3% dw, and from 1.92 to 3.02% dw, respectively. Phosphorus varied from 0.15 to 0.47% dw, and K from 0.40 to 1.86% dw, and from 0.66 to 1.95% dw for wine and table varieties, respectively. Foliar Ca for wine and table varieties varied from 1.15 to 3.26% dw, and from 0.67 to 2.84% respectively, while Mg fluctuated from 0.12 to 0.44% dw, and from 0.14 to 0.61% dw, respectively. Leaf B fluctuated from 12 to 86 ppm, and from 18 to 106 ppm, respectively. Foliar Zn for wine varieties varied from 7 to 77 ppm, and for table varieties fluctuated from 9 to 34 ppm. Manganese varied from 23 to 1622 ppm, while Fe and Cu fluctuated from 39 to 179 ppm, and from 7 to 1057 ppm, respectively. Based on these data and on the classification provided in literature, it can be concluded that approximately 75% of the vineyards from Western Macedonia showed slight N deficiency, while 20-75% suffered from severe K deficiency. In addition, 30-50% and 35-80% of the vineyards of Kastoria showed B and Zn inadequacy, respectively. Finally, in most cases, very high Mn and Cu levels were found. It is believed that these data offer a useful insight and provide a valuable agronomic tool towards a sustainable nutrient management in the Greek vineyards.

DOI:

Publication date: September 27, 2023

Issue: GiESCO 2019

Type: Poster

Authors

Theocharis CHATZISTATHIS*, Eirini METAXA, Polyxeni PSOMA, Areti BOUNTLA, Vassilis ASCHONITIS, Panagiotis TZIACHRIS, Frantzis PAPADOPOULOS, Georgios STRIKOS

Institute of Soil and Water Resources, Leoforos Georgikis Scholis Avenue, Thessaloniki (Thermi), 57001, Greece

Contact the author

Keywords

Vitis vinifera L., nutrient deficiency, nutrient toxicity, organic matter, wine varieties, table varieties

Tags

GiESCO | GiESCO 2019 | IVES Conference Series

Citation

Related articles…

The modification of cultural practices in grapevine cv. Syrah, does it modify the characteristics of the musts?

The work shows the results of a year of experimentation (2020) in a Syrah variety vineyard in La Roda (Castilla-La Mancha, Spain). The trial approach was on a randomized block design with two factors: Irrigation (I) and Pruning (P).
Irrigation schedules were adjusted to apply amounts close to 1,500 m3/ha. With this provision, 2 different irrigation treatments were proposed: I1) Start of irrigation from pea-sized grape to post-harvest (providing at least 20 % of the total amount of irrigation water to be provided post-harvest); I2) Start of irrigation from pea-sized grape to harvest (usual irrigation practice in the study area). Pruning was proposed with two treatments, one at the end of January (P1), which is pruning on a conventional date; and P2) pruning carried out at the beginning of budding. In total, 4 repetitions were designed with 4 elementary plots, each one of them representing one of the proposed treatments (I1P1; I1P2; I2P1; I2P2). In total, 16 plots were worked on and each elementary plot consisted of 30 strains, distributed in 3 lines.
The productive response was evaluated with the yield results of the harvest harvested at 23 ºBrix. The qualitative response was measured in the musts through the indices of technological (acidity, pH and potassium) and phenolic maturity and aromatic compounds in free and glycosylated fractions. The treatments tested had, in general, an effect on the different variables analyzed.

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.

Exploring resilience and competitiveness of wine estates in Languedoc-Roussillon in the recent past: a multi-level perspective

The Languedoc-Roussillon wineries are facing a decline in wine yields particularly PGI yields due to many factors. Climate change is just ones, but is expected to increase in the future. There is also structurally a large heterogeneity of yield profiles among terroirs, varieties and strategies. This work investigates the link between yield, competitiveness and resilience to explore how resilient winegrowers have been in the recent past. To this end two approaches have been combined; (i) an accountancy database analysis at estate scale and (ii) municipality level competitiveness analysis. A new resilience indicator that characterizes the capacity of an estate to absorb yield variation is also defined. The FADN database between 2000 and 2018 of ex-Languedoc-Roussillon (France) and other data are used to analyse the current situation and the past evolution of competitiveness and resilience by type of estate (type of farm: PGI and/or PDO & type of commercialization: bulk and/or bottles). The net margin, which defines competitiveness, is not correlated to yield for all types but depends on the type of commercialization and the level of specialisation. The resilience indicator shows that the net margin of estates specialized in PGI is particularly sensitive to yield declines. We also show that price evolutions seem to compensate the effect of yield losses for the majority of types. Municipality scale analysis shows the links between local pedoclimate, yield, commercialization strategies and price. Overlapping a PDO with a PGI does not always increase a municipality’s PGI competitiveness. It is difficult to make links between causes and effects due to the complexity of the wine production system. Production diversification may be a solution. Resorting to the two level of analysis helps resolving the data gap that is necessary to explore the links between yield and economic performance of the wine estates in the long term.

Variety and climatic effects on quality scores in the Western US winegrowing regions

Wine quality is strongly linked to climate. Quality scores are often driven by climate variation across different winegrowing regions and years, but also influenced by other aspects of terroir, including variety. While recent work has looked at the relationship between quality scores and climate across many European regions, less work has examined New World winegrowing regions. Here we used scores from three major rating systems (Wine Advocate, Wine Enthusiast and Wine Spectator) combined with daily climate and phenology data to understand what drives variation across wine quality scores in major regions of the Western US, including regions in California, Oregon and Washington. We examined effects of variety, region, and in what phenological period climate was most predictive of quality. As in other studies, we found climate, based mainly on growing degree day (GDD) models, was generally associated with quality—with higher GDD associated with higher scores—but variety and region also had strong effects. Effects of region were generally stronger than variety. Certain varieties received the highest scores in only some areas, while other varieties (e.g., Merlot) generally scored lower across regions. Across phenological stages, GDD during budbreak was often most strongly associated with quality. Our results support other studies that warmer periods generally drive high quality wines, but highlight how much region and variety drive variation in scores outside of climate.

Amino nitrogen content in grapes: the impact of crop limitation

As an essential element for grapevine development and yield, nitrogen is also involved in the winemaking process and largely affects wine composition. Grape must amino nitrogen deficiency affects the alcoholic fermentation kinetics and alters the development of wine aroma precursors. It is therefore essential to control and optimize nitrogen use efficiency by the plant to guarantee suitable grape nitrogen composition at harvest. Understanding the impact of environmental conditions and cultural practices on the plant nitrogen metabolism would allow us to better orientate our technical choices with the objective of quality and sustainability (less inputs, higher efficiency). This trial focuses on the impact of crop limitation – that is a common practice in European viticulture – on nitrogen distribution in the plant and particularly on grape nitrogen composition. A wide gradient of crop load was set up in a homogeneous plot of Chasselas (Vitis vinifera) in the experimental vineyard of Agroscope, Switzerland. Dry weight and nitrogen dynamics were monitored in the roots, trunk, canopy and grapes, during two consecutive years, using a 15N-labeling method. Grape amino nitrogen content was assessed in both years, at veraison and at harvest. The close relationship between fruits and roots in the maintenance of plant nitrogen balance was highlighted. Interestingly, grape nitrogen concentration remained unchanged regardless of crop load to the detriment of the growth and nitrogen content of the roots. Meanwhile, the size and the nitrogen concentration of the canopy were not affected. Leaf gas exchange rates were reduced in response to lower yield conditions, reducing carbon and nitrogen assimilation and increasing intrinsic water use efficiency. The must amino nitrogen profiles could be discriminated as a function of crop load. These findings demonstrate the impact of plant balance on grape nitrogen composition and contribute to the improvement of predictive models and sustainable cultural practices in perennial crops.