Terroir 2020 banner
IVES 9 IVES Conference Series 9 Partitioning of seasonal above‐ground biomass of four vineyard-grown varieties: development of a modelling framework to infer temperature-rate response functions

Partitioning of seasonal above‐ground biomass of four vineyard-grown varieties: development of a modelling framework to infer temperature-rate response functions

Abstract

Aims: Forecasting the biomass allocation among source and sinks organs is crucial to better understand how grapevines control the distribution of acquired resources and has a great meaning in term of making decisions about agricultural practices in vineyards. Modelling plant growth and development is one of prediction approaches that play this role when it concerns growth rates in response to variation in environmental conditions. This study was aimed to model the dynamics of current year’s above‐ground biomass in grapevine. Furthermore, the development of a relatively simple growth modelling framework aimed at the derivation of cardinal air temperatures for growth in grapevine.

Methods and Results: Trials were carried out over three growing seasons in field conditions with four grapevine cultivars. To compare the differences of growth-allocation models among cultivars, the non-linear extra-sums-of-squares method was used. Using measurements of mean daily air temperature and dry mass increments a beta-function model was fitted to the data and used to estimate cardinal air temperatures. Shoot growth and biomass allocation differed significantly among cultivars. The application of the non-linear extra-sums-of-squares procedure demonstrated to be a feasible way of growth models statistical comparison among cultivars. The results of this study highlight parameters most involved in the phenotypic variability of shoot growth. Variations among cultivars result from environmental and genetic factors. The temperature response functions obtained, confirm the initial working hypothesis that because the varieties may have either different temperature optima or different thresholds that a unifying model cannot be achieved.

Conclusions: 

These results suggest that some caution should be taken when incorporating shoot development and biomass partitioning coefficients in a growth model. Use of common coefficients estimates for all cultivars for dynamic modelling approaches, in fact, may result in a poor representation of the data early or late during the course of the season.

Significance and Impact of the Study: The described approach can be used to account for complex variation in seasonal growth patterns and provides insight into how well a cultivar may be matched to a particular site.

DOI:

Publication date: March 17, 2021

Issue: Terroir 2020

Type: Video

Authors

Franco Meggio* and Andrea Pitacco

Department of Agronomy Food Natural Resources Animals and Environment, University of Padova, Viale dell’Università 16 35020 – Legnaro (PD), Italy

Contact the author

Keywords

Above-ground grapevine biomass, growth model, biomass partitioning coefficients 

Tags

IVES Conference Series | Terroir 2020

Citation

Related articles…

Response of red grape varieties irrigated during the summer to water availability at the end of winter in four Spanish wine-growing regions: berry phenolic composition

Water availability is the most limiting factor for vineyard productivity under Mediterranean conditions. Due to the effects caused by the current climate change, wine-growing regions may face serious soil moisture conservation problems, due to the lower water retention capacity of the soil and higher soil irradiation. The aim of this work was to evaluate the effects of soil recharge irrigation in pre-sprouting and summer irrigation every week (30 % ETo) from the pea size state until the end of ripening (RP) compared to exclusively summer irrigation every week (R) in the same way that RP, on berry phenolic composition at harvest.

Construction of a 3D vineyard model using very high resolution airborne images

In recent years there has been a growth in interest and number of research studies regarding the application of remote optical and thermal sensing by unmanned aerial vehicle (UAV) in agriculture and viticulture. Many papers report on the use of images to map or estimate the growth and water status of plants, or the heterogeneity of different parcels. Most often, NDVI or other similar indices are used.

Influence of cell-cell contact on yeast interactions and exo-metabolome

Alcoholic fermentation is the main step for winemaking, mainly performed by the yeast Saccharomyces cerevisiae. But other wine yeasts called non-Saccharomyces may contribute to alcoholic fermentation and modulate the wine aroma complexity. The recurrent problem with the use of these non-Saccharomyces yeasts is their trend to die off prematurely during alcoholic fermentation, leading to a lack of their interesting aromatic properties searched in the desired wine. This phenomenon appears to be mainly due to interactions with S. cerevisiae. These interactions are often negatives but remain unclear because of the species and strain specific response. Among the non-Saccharomyces yeasts, Lachancea thermotolerans is a wine yeast naturally found in grape must and well known as a great L-lactic acid producer and an aromatic molecules enhancer, but its behavior during alcoholic fermentation can be completely different in co-fermentation with S. cerevisiae in function of strain used.

Development of a new indicator of grape skin ripening in relation to Botrytis cinerea susceptibility

The bunch rot induced by Botrytis cinerea is an important disease of grapevine that causes a diminution of grape quality and a considerable yield loss leading to an economic loss

EFFECT OF MANNOPROTEIN-RICH EXTRACTS FROM WINE LEES ON PHENOLICCOMPOSITION AND COLOUR OF RED WINE

In 2022, wine production was estimated at around 260 million hl. This high production rate implies to generate a large amount of by-products, which include grape pomace, grape stalks and wine lees. It is estimated that processing 100 tons of grapes leads to ~ 22 tons of by-products from which ~ 6 tons are lees [1]. Wine lees are a sludge-looking material mostly made of dead and living yeast cells, yeast debris and other particles that precipitate at the bottom of wine tanks after alcoholic fermentation. Unlike grape pomace or grape stalks, few strategies have been proposed for the recovery and valorisation of wine less [2].