OENO IVAS 2019 banner
IVES 9 IVES Conference Series 9 Viticultural zoning of central chile based on bioclimatic indexes and the impact of climate warming

Viticultural zoning of central chile based on bioclimatic indexes and the impact of climate warming

Abstract

Climate is considered one of the main factors that determines the aptitude of a specific location for growing grapes and producing high quality wine, being in that sense one of the main elements defining the concept of terroir. Several bioclimatic indexes have been proposed that attempt to describe the climatic aptitude for high quality wine production. Based on this, a study was developed to characterize present and future viticultural potential of Chilean zones considering the dynamic of climate change.

 
Maps of central Chile were built based in different climatic parameters and the calculation of bioclimatic indexes like Winkler, Huglin, Mean January Temperature, Cold Nights index and Fregoni. Interactive maps obtained allow determining the aptitude of a locality by introducing the geographic coordinates.

 

In a second step, the future evolution of these climatic parameters was studied considering different models of climatic change (CSIRO-Mk3-6-0; GFDL-CM3 and HadCM3), different scenarios (moderate or severe) and different periods of time. Results obtained are also represented in interactive maps allowing seeing the evolution of a climatic parameter in time depending on the model and severity chosen.

 

Results obtained show a clear evolution of the aptitude of the main viticultural areas with with an increase in aptitude of regions in the south of Chile that presently have limitations for a good maturation, in particular of red varieties. More to the south and closer to the Pacific Ocean areas that are not suitable for wine production now become apt for wine production Northern areas are in general negatively affected by becoming too hot and having increasing problems with water supply.

DOI:

Publication date: June 3, 2020

Issue: OENO IVAS 2019

Type: Article

Authors

Edmundo Bordeu, David Mordales and Francisco Meza

Pontificia Universidad Católica de Chile
Vicuña Mackenna 4860 – Comuna de Macul – Santiago – Chile
Postal code: 7820426

Contact the author

Tags

IVES Conference Series | OENO IVAS 2019

Citation

Related articles…

Comparison of plant nutrients in the soil solution and bleeding sap of grapevine cvs

In this study macro and micro nutrients of plants (N = NH4 + NO3 , P, K, Ca, Na, Zn, Mn, Fe and Cu) were determined both in soil solution and bleeding sap and compared each other. Bleeding sap was collected from the nine varieties of grapevine Cvs. grafted on 5BB rootstock and grown in different soil conditions. For all varieties, plant nutrients content in bleeding sap as higher than in soil solution except for Ca and Na. While in soil solution Ca content was found at 10209 ppm, this value in bleeding sap was 49.20 ppm (Kozak Beyazy), 55.38 ppm (Trakya Ylkeren), 50.37 (Cardinal) and 74.27 ppm (Tekirdaô Çekirdeksizi) respectively. For the same varieties the Na values were as follows : 7.16 ppm (in soil solution) : 4.8, 3.23, 4.21,4.58 ppm (in bleeding sap) respectively. K content in bleeding sap was higher than in soil solution for a few varieties, and lower in some varieties. Traces of Fe and Cu were found in both media.

Effect of stilbenes on malolactic fermentation performance of onoccocus oeni and lactiplantibacillus plantarum strains in wine production

Malolactic fermentation (MLF) is an important step in winemaking to improve wine quality through deacidification, increased microbial stability, and altered wine flavor. The phenolic composition of wine influences the growth and metabolism of lactic acid bacteria (lab) used for MLF.

Assessing bunch architecture for grapevine yield forecasting by image analysis

It is fundamental for wineries to know the potential yield of their vineyards as soon as possible for future planning of winery logistics. As such, non-invasive image-based methods are being investigated for early yield prediction. Many of these techniques have limitations that make it difficult to implement for practical use commercially. The aim of this study was to assess whether yield can be estimated using images taken in-field with a smartphone at different phenological stages. The accuracy of the method for predicting bunch weight at different phenological stages was assessed for seven different varieties.

Classification of the wine-growing environment of Central Mancha (Spain). First works

This paper describes a zoning study performed on a vast territory of around 86,500 hectares, situated in the countryside area of La Mancha Central (Castilla-La Mancha). The aim of the study was to classify the environment according to a small number of ecological criteria, establish the relevant territorial units and generate thematic maps with the different levels of criteria employed and synthetic maps by crossing these criteria.

A new AI-based system for early and accurate vineyard yield forecasting

Vineyard yield forecasting is a key issue for vintage scheduling and optimization of winemaking operations. High errors in yield forecasting can be found in the wine industry, mainly due to the high spatial variability in vineyards, strong dependency on historical yield data, insufficient use of agroclimatic data and inadequate sampling methods