Macrowine 2021
IVES 9 IVES Conference Series 9 An excessive leaf-fruit ratio reduces the yeast assimilable nitrogen in the must

An excessive leaf-fruit ratio reduces the yeast assimilable nitrogen in the must

Abstract

Yeast assimilable nitrogen (YAN) in the grape must is a key variable for wine quality as a source of aroma precursors. In a situation of YAN deficiency, a foliar urea application upon the vine at veraison enhances YAN concentration and facilitates must fermentation. In 2013, Agroscope investigated the impact of leaf-fruit ratio on the nitrogen (N) assimilation and partitioning in grapevine Vitis vinifera cv. Chasselas following foliar-urea application with the aim of improving its efficiency on the YAN concentration. Two factors, canopy height with two levels (90 and 140 cm), and crop load with two levels (§§5 and 10 clusters per vine), were combined in a split plot trial (5 vines per treatment). All treatments received 20 kg/ha of 15N-labelled foliar urea (10 atom% 15N) at veraison. An extra 5-vine control treatment (150-cm canopy and 5 bunches per vine) received no foliar urea. As a result, the leaf-fruit ratio had a strong impact on the grape maturity at harvest and on the labelled-N partitioning after urea application. The YAN varied from 143 ± 17 mg/L when the leaf-fruit ratio was 1.6 m2/kg (light-exposed leaf area / fruit quantity), up to 230 ± 25 mg/L when the leaf-fruit ratio was 0.4 m2/kg. The grapes were the strongest sink of all the vine organs, with more than 20 % of their total organic N originating from the urea treatment. Whereas a too small leaf-fruit ratio affected the grape maturity and the accumulation of labelled N in the reserve organs, a large canopy induced a diminution of the total N concentration (% dry weight) in all organs comparable to a “dilution” in the plant. Thus a balanced leaf-fruit ratio – between 1 and 1.5 m2/kg – should be maintained in order to guarantee the grape maturity, the accumulation of YAN in the must and the storage of N in the reserve organs. This study fosters further research at the isotopic molecular level to unravel other mechanisms controlling the source-sink relationship and the specific N partitioning between grapevine organs.

Publication date: April 4, 2024

Issue: Macrowine 2016

Type: Poster

Authors

Thibaut Verdenal* 

*Agroscope

Contact the author

Tags

IVES Conference Series | Macrowine | Macrowine 2016

Citation

Related articles…

Influence of toasting oak wood on ellagitannin structures

Ellagitannins (ETs) have been reported to be the main phenolic compounds found in oak wood. These compounds, belonging to the hydrolysable tannin class of polyphenols, are esters of hexahydroxydiphenic acid (HHDP) and a polyol, usually glucose or quinic acid. They own their name to their capacity to be hydrolysed and liberate ellagic acid and they have an impact on astringency and bitterness sensation, which is strongly dependant on their structure. The toasting phase is particularly crucial in barrels fabrication and influences wood composition.

Nitrogen – Lipid Balance in alcoholic fermentations. Example of Champagne musts

Nutrient availability – nitrogen, lipids, vitamins or oxygen – has a major impact on the kinetics of winemaking fermentations. Nitrogen is usually the growth-limiting nutrient and its availability determines the fermentation rate, and therefore the fermentation duration. In some cases, in particular in Champagne, grape musts have high nitrogen concentrations and are sometimes clarified with turbidity below 50 NTU. In these conditions, lipid deficiencies may occur and longer fermentations can be observed. To better understand this situation, a study was realized using a synthetic medium simulating the composition of a Champagne must : 180 g/L of sugar, 360 mg/L of assimilable nitrogen and a lipid content ranging from 1 to 8 mg/L of phytosterols (mainly β-sitosterol).

Ellagitannins and flavano-ellagitannins: concentration ranges in different areas and sensory evaluation

C-Glucosidic ellagitannins, which are the main polyphenolic compounds in oak heartwood, are extracted by wine during aging in oak barrels. Although such maturing of alcoholic beverages in oak barrels is a multi-centennial practice, very little is known on the impact of these ellagitannins on the organoleptic properties of red wine. The objectives of the present investigation were (i) to isolate oak ellagitannins and to hemisynthesize some made-in-wine flavano-ellagitannins, such as acutissimin A; (ii) to analyse their concentration ranges depending on the cultivar area and (iii) to evaluate their sensory impact on the basis of their human threshold concentrations and dose/response relationships in different types of solutions.

Glutathione content evolution during spontaneous alcoholic fermentations of Sangiovese grapes

Glutathione is a tripeptide (γ-Glu-Cys-Gly), which can occur in grapes, in must and in wine prevalently in the reduced form as well as in the oxidized form as glutathione disulfide. The importance of the reduced form of glutathione lies in its antioxidant activity. In must, it limits browning by reducing o-quinones produced by polyphenol oxidase activity on hydroxycinnamic acids; in wine, it exerts a protective effect on various aromatic compounds. Glutathione concentration in wine is lower than in grape juice and variable as it depends on several factors, ranging from the native content of grapes to winemaking technique.

Effects of a new vacuum evaporation method on chemical and sensory properties of must and wine

A new process for vacuum evaporation was developed where evaporation takes place near the inner surface of a vortex produced by a rotor submerged in the liquid. Contrary to the state of the art the Vortex rotor process does not need a vacuum vessel but the rotating liquid creates a geometrically stable low pressure void surrounded by a vortex stabilized by the equilibrium between centrifugal forces and the pressure difference. First tests with water and sugar solutions at concentrations similar to grape must were conducted to verify the theoretical predictions, test the performance under different conditions and study the effect of various process parameters (Rösti et al 2015).