| Literature DB >> 35270100 |
Bat-Chen R Lubin1,2, Nimrod Inbar3,4, Ania Pinkus2, Maria Stanevsky2, Jonathan Cohen1,5, Oshrit Rahimi1,2, Yaakov Anker1,6, Oded Shoseyov5, Elyashiv Drori1,2.
Abstract
Grapevines are susceptible and responsive to their surrounding environment. Factors such as climate region and terroir are known to affect polyphenolic compounds in wine and therefore, its quality. The uniqueness of the terroir in Israel is the variety of soil types and the climatic conditions, ranging from Mediterranean to arid climates. Thus, understanding the effects of climate on grapevine performance in Israel may be a test case for the effect of climate change on grapevine at other areas in the future. First, we present a preliminary survey (2012-2014) in different climate zones and terroirs, which showed that trans-resveratrol concentrations in Merlot and Shiraz were high, while those of Cabernet Sauvignon were significantly lower. A further comprehensive countrywide survey (2016) of Merlot wines from 62 vineyards (53 wineries) compared several phenolic compounds' concentrations between five areas of different climate and terroir. Results show a connection between trans-resveratrol concentrations, variety, and terroir properties. Furthermore, we show that trans-resveratrol concentrations are strongly correlated to humidity levels at springtime, precipitation, and soil permeability. This work can be considered a glimpse into the possible alterations of wine composition in currently moderate-climate wine-growing areas.Entities:
Keywords: climate; grapevine; phenolic compounds; soil; terroir; trans-resveratrol; wine
Year: 2022 PMID: 35270100 PMCID: PMC8912353 DOI: 10.3390/plants11050629
Source DB: PubMed Journal: Plants (Basel) ISSN: 2223-7747
Figure 1Location map of the study area. vineyards marked by circles are color coded according to trans-resveratrol levels (ppm). Weather stations used for climate analysis are marked with Black triangles.
Figure 2Trans-resveratrol level during 2012–2014 vintage (A). in Cabernet Sauvignon, Merlot and Shiraz Israeli wines (B). in wine from the different Israeli terroir, in Merlot, Cabernet Sauvignon and Shiraz varieties, * significant differences (p > 0.05). ** significant differences (p > 0.01). *** significant differences (p > 0.005).
Figure 3Phenolic compounds levels in Merlot wine in 2016. Trans-resveratrol (A) trans-Piceid (B), Quercetin (C), caffeic acid (D), Epicatechin (E) and Gallic acid (F). Significant high levels in trans-resveratrol and trans-Piceid were found in the Golan compared to other areas. * Significant differences (p > 0.05). ** significant differences (p > 0.01).
Figure 4Analysis of total phenols (A) and Color Intensity (B) levels in Merlot wines originating from vineyards of the different Israeli terroir. Significant differences were found in Golan Galil and Central Mount compared to the south. * Significant differences (p > 0.05). ** significant differences (p > 0.01). *** significant differences (p > 0.005).
Overall climatic and geographic data for the different regions.
| Galil | Golan | Lowland | Central Mountains | Negev | |
|---|---|---|---|---|---|
|
| Terra rossa, but also rendzina | Basaltic grumusols and lithosols | Brown soils and rendzina | Rendzina and terra rossa | Brown lithosols and loessial serozems |
|
| Moderate to strong sloping | Moderate slopes may exceed 10%. | Flat to moderate sloping | Moderate to strong sloping | mostly moderate |
|
| 270–850 | 100–1200 | 40–320 | 550–930 | 100–800 |
|
| 27 | 25 | 30 | 26 | 32 |
|
| 15 | 10 | 15 | 15 | 15 |
|
| 30 | 29 | 32 | 29 | 34 |
|
| 19 | 16 | 20 | 18 | 19 |
|
| 73 | 89 | 82 | 71 | 80 |
|
| 34 | 34 | 32 | 27 | 20 |
|
| 91 | 93 | 86 | 93 | 87 |
|
| 45 | 43 | 43 | 39 | 30 |
|
| 520–840 | 430–950 | 500–600 | 530–690 | 70–380 |
|
| 18.5 | 19 | 18.7 | 19.7 | 20 |
Figure 5Trans-resveratrol concentrations according to vineyard soil type. * Significant differences (p > 0.05). ** significant differences (p > 0.01).
Figure 6Results of Principal Component Analysis (PCA), performed on the meteorological and chemical data set. Dots represent datasets for each specific vineyard. Arrows represent the vectors deriving the separation of the dots in the PCA. the Max_Temp_Summer-Maximal temperature Summer, Max_Temp_Spring-Maximal temperature Spring, Min_Temp_Summer-Minimal temperature Summer, Min_Temp_Spring-Minimal temperature Spring, Min_Humidity_Spring-Minimal Humidity Spring, Acc_Rain-Accumulated rain.