terclim by ICS banner
IVES 9 IVES Conference Series 9 Yield formation and grape composition: more than meets the eye 

Yield formation and grape composition: more than meets the eye 

Abstract

Fruit quality in grapes is not well defined but is often depicted as correlating inversely with crop yield. Both fruit yield and composition, however, are made from distinct components that interact in complex ways. Reproductive growth of grapevines extends over two growing seasons. Inflorescences initiated in buds during the previous year differentiate flowers and set and develop berries during the harvest year. Compensation mechanisms ensure that changing one yield component typically results in a less than proportional change in yield. For example, reducing the number of berries per vine may increase berry size. Nevertheless, warm temperatures and ample water during budbreak or bloom will increase both the number and size of berries, and increase or decrease berry sugar while decreasing acidity. Moreover, the time of fruit set and the number of seeds, rather than yield, may drive the time of ripening onset. By that time, berry size is effectively predetermined and can no longer be manipulated by cultural practices. Ripening starts with berry softening and is followed by sugar accumulation, acid breakdown and, finally, anthocyanin accumulation in dark-skinned grapes. Like yield components, these processes can be modified by altering the size and density of the canopy, which changes the fruit-zone microclimate. Unlike vegetative and reproductive growth, fruit composition is much more responsive to temperature than to water supply. This presentation will give an overview of yield formation and grape ripening, and discuss some key environmental and viticultural factors that lead to differences in harvest yield and fruit composition.

DOI:

Publication date: June 13, 2024

Issue: Open GPB 2024

Type: Article

Authors

Markus Keller1*
1 Washington State University, Irrigated Agriculture Research and Extension Center, Prosser, WA 99350, USA

Contact the author*

Keywords

grapevine, yield components, water stress, temperature, Vitis

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Solid Rectified Concentrated grape Must (SRCM) in sparkling wines production: studying the sensory impact of an innovative sugar substrate

The production of sparkling wines requires sugars for the second fermentation. The Solid Rectified Concentrated Must (SRCM) is a water free crystalline form of grape sugar, offering a purer, more stable, and easier-to-use alternative to the liquid Rectified Concentrated Must (RCM).

Tools for assessing vine nitrogen status; role of nitrogen uptake in the “terroir” effect

Among the numerous nutrients vines extract from the soil, nitrogen is the one that interferes most with vine vigor, yield, berry constitution and wine quality. Many studies relate on the influence of various levels of nitrogen

The evolution of italian vine nursery production over the past 30 years

Italy has a long history of viticulture and has become one of the world’s leading producers of vine propagation material. The Italian vine nursery industry is today highly qualified and has become highly competitive on a global scale. The quality of the material is guaranteed by compliance with European Union regulations, which have been in force since the second half of the 20th century and have subsequently been supplemented and updated.

Chemical and sensory evolution of total and partial dealcoholized wine in a can

In recent years, wine consumption has been evolving towards new trends. On the one hand, awareness of health and responsible consumption has been growing, and with it, the demand for wines with lower or without alcohol content [1].

Applicability of spectrofluorometry and voltammetry in combination with machine learning approaches for authentication of DOCa Rioja Tempranillo wines

The main objective of the work was to develop a simple, robust and selective analytical tool that allows predicting the authenticity of Tempranillo wines from DOCa Rioja. The techniques of voltammetry and absorbance-transmission and fluorescence excitation emission matrix (A-TEEM) spectroscopy have been applied in combination with machine learning (ML) algorithms to classify red wines from DOCa Rioja according to region (Alavesa, Alta or Oriental) and category (young, crianza or reserva).