Terroir 2008 banner
IVES 9 IVES Conference Series 9 Influence of organic plant treatment on the terroir of microorganisms

Influence of organic plant treatment on the terroir of microorganisms

Abstract

Several factors like vineyard site, climate, grape variety, ripeness, physical health of the grapes and pest management influence the populations of indigenous yeasts on grapes and later on in spontaneous fermentations. During spontaneous fermentations, so called “wild yeasts” could significantly influence the wine aroma. Some authors certify more complexity and an increase of wine quality to these fermentations. A widespread opinion is that spontaneous fermentation can help to emphasize the characteristics of a specific geographical area or even of one vineyard site.
This was checked in a three years experimental period testing different pest management strategies to replace or reduce copper and sulphur and comparing integrated, organic and biodynamic strategies. Alternatives to copper or sulphur treatments could however have an impact on the aroma profiles, as they alter the composition of natural yeast populations in the vineyard or lead to changes in yeast metabolism. This was tested with several alternative strategies compared to organic-standard and integrated variants. Effects on spontaneous flora, fermentation course and aroma profiles were analysed.
Yeast populations on grapes and at different stages of grape and must processing were isolated and determined using RFLP analysis of the ITS-region.
Hanseniaspora uvarum and Metschnikowia pulcherrima were the dominating species on the grapes in all variants. There was no correlation between the population dynamics of yeast during the processing and fermentation and the different pest management strategies.
In this survey the processing and the ecosystem winery seem to have a more important influence on yeast diversity than the microflora composition on grapes.

DOI:

Publication date: December 8, 2021

Issue: Terroir 2008

Type : Article

Authors

STÖLBEN T (1,2), RÜCK C (1,2), HERRBRUCK T (1,2), KAUER R (1), VON WALLBRUNN C (2)

(1) Fachbereich Geisenheim, Fachhochschule Wiesbaden, Von-Lade-Str. 1, 65366 Geisenheim
(2) Fachgebiet Mikrobiologie u. Biochemie, Forschungsanstalt Geisenheim, Von-Lade-Str. 1, 65366 Geisenheim

Contact the author

Keywords

 yeast, spontaneous fermentation, organic pest management, RFLP, sensory analysis

Tags

IVES Conference Series | Terroir 2008

Citation

Related articles…

REDWINE project: use of Chlorella vulgaris to prevent biotic and abiotic stress in Palmela’s region, Portugal, vineyards

The new EU Green Deal aims to achieve GHG emissions reduction by at least 55% by 2030 and a climate neutral EU economy by 2050.
REDWine concept will be realized through the establishment of an integrated Living Lab demonstrating the viability of the system at TRL 7. The Living Lab will be able to utilize 2 ton of fermentation off-gas/year (90% of total CO2 produced in the fermenter) and 80 m3 of liquid effluent (100% of the liquid effluent generated during fermenter washing) to produce 1 ton (dry weight) of Chlorella biomass/year. This biomass will be processed under a downstream extraction process to obtain added-value extracts and applied in food, cosmetic and agricultural end-products and to generate a new EcoWine. REDWine will focus on the recovery of off-gas from a 20.000L fermenter of red wine production existing in Adega Cooperativa de Palmela (ACP, located in Palmela, Portugal).

Strategies for sample preparation and data handling in GC-MS wine applications

It is often said that wine is a complex matrix and the chemical analysis of wine with the thousands of compounds detected and often measured is proof. New technologies can assist not only in separating and identifying wine compounds, but also in providing information about the sample as a whole. Information-rich techniques can offer a fingerprint of a sample (untargeted analysis), a comprehensive view of its chemical composition. Applying statistical analysis directly to the raw data can significantly reduce the number of compounds to be identified to the ones relevant to a particular scientific question. More data can equal more information, but also more noise for the subsequent statistical handling.

Dry leaf hyperspectral reflectance predicts leaf elemental composition in grafted hybrids

Elemental composition, measured as the concentrations of different elements present in a given tissue at a given time point, is a key indicator of vine health and development. While elemental composition and other high-throughput phenotyping approaches yield tremendous insight into the growth, physiology, and health of vines, costs and labor associated with repeated measures over time can be cost-prohibitive. Recent advances in handheld sensors that measure hyperspectral reflectance patterns of leaf tissue may serve as an affordable proxy for other types of phenotypic data, including elemental composition. Here, we ask if reflectance patterns of dried Chambourcin leaf tissue from an experimental grafting vineyard can predict the known elemental composition of those leaves.

Characterisation of viticultural and oenological practices in two French AOC in the middle Loire Valley: comparison of different methods to extract information from a survey among winegrowers

The type of wine is determined by environmental, plant materials and human factors. These factors are numerous and interact together, which makes it difficult to determine the hierarchy of their effects