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…

Grape byproducts as source of resveratrol oligomers for the development of antifungal extracts

Grape canes are a non-recycled byproduct of wine industry (1-5 tons per hectare per year) containing valuable phytochemicals of medicine and agronomical interest. Resveratrol and wine polyphenols are known to exert a plethora of health-promoting effects including antioxidant capacity, cardioprotection, anticancer activity, anti-inflammatory effects, and estrogenic/antiestrogenic properties (Guerrero et al. 2009). Additionally, resveratrol is a major phytoalexin produced by plants in response to various stresses and promotes disease resistance (Chang et al. 2011). Our project aims to develop polyphenol-rich grape cane extracts to fight phytopathogenic or clinically relevant fungi. We initiate the project with the development of analytical methods to analyze resveratrol mono- and oligomers (dimers, trimers and tetramers) from grape canes and we evaluate their potential activity against clinically relevant opportunistic fungal pathogens (Houillé et al. 2014).

Characterization of spoilage yeasts from Malbec grapes from San Rafael wine region (Argentina)

The yeast ecosystem in grape musts is quite broad and depends on the region and the health of the grapes. Within this, there are yeasts that can generate fermentative deviations and/or cause defects in the wine. It is very important to address this issue because there are significant economic losses in the wine industry when the fermentation process and/or the organoleptic characteristics of the wine are negatively affected, even more today since climate change has a marked effect on the composition of this ecosystem. The aim of this work is to characterize the behavior regarding detrimental oenological features of potential spoilage yeasts isolated from viticultural environments.

Automated detection of downy mildew in vineyards using explainable deep learning

Traditional methods for identifying downy mildew in commercial vineyards are often labour-intensive, subjective, and time-consuming.

Quantitative and qualitative changes in terpenes during enzymatic maceration and fermentation in wine production: insights from Polish grape varieties

The production of fermented alcoholic beverages involves numerous processes in which microorganisms and enzymes convert components derived from the raw material into a wide range of compounds that affect the sensory characteristics of the resulting product. It is estimated that there may be as many as 800 to 1,000 such compounds in wine. These compounds belong to different chemical groups such as esters, alcohols, carboxylic acids, carbonyl compounds, polyphenols, sugars and many others.

The effect of wine matrix on the initial release of volatile compounds and their evolution in the headspace

There is evidence in the literature that non-volatile wine matrix can modify the release and therefore the perception of the compounds involved in wine aroma [1-3].