terclim by ICS banner
IVES 9 IVES Conference Series 9 Temperature-based phenology modelling for the grapevine 

Temperature-based phenology modelling for the grapevine 

Abstract

Historical phenology records have indicated that advances in key developmental stages such as budburst, flowering and veraison are linked to increasing temperature caused by climate change. Using phenological models the timing of grapevine development in response to temperature can be characterized and projected in response to future climate scenarios.
We explore the development and use of grapevine phenological models and highlight several applications of models to characterize the timing of key stages of development of varieties, within and between regions, and the result of projections under different climate change scenarios. The following aspects were evaluated: (1) importance of defining modelling objectives, (2) an understanding of database characteristics and how this may influence modelling outcomes, (3) the accuracy of models compared to observations, (4) the influence of the quality of phenological observations on model development and (5) the importance of calibrating a maximum the varieties for specific models. The challenges of the different modelling approaches and strengths and limitations of the outputs are discussed, particularly in the context of climate change projections.
Combining the results of these separate approaches highlights the opportunities and limitations of different modelling solutions and how different modelling approaches are needed to understand how temperature influences grapevine development depending on objectives, and that tools are available to help us better evaluate the potential effects of climate change on grapevine development.

DOI:

Publication date: June 13, 2024

Issue: Open GPB 2024

Type: Poster

Authors

Amber K. Parker1*, Mike C.T. Trought1,2, Laure de Rességuier3, Cornelis van Leeuwen3, Elena Moltchanova4, Hervé Quénol5, Andrew Sturman6, Inaki Garcia de Cortazar Atauri7

1 Department of Wine, Food and Molecular Biosciences, PO Box 85084, Lincoln University, Lincoln 7647, Christchurch, New Zealand
2The New Zealand Institute for Plant & Food Research Limited (PFR), Marlborough Research Centre, New Zealand
3 EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVV, F-33882 Villenave d’Ornon, France
4School of Mathematics and Statistics, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand
5 LETG-Rennes COSTEL, UMR 6554 CNRS, Université Rennes 2, Rennes, France
6 Centre for Atmospheric Research, University of Canterbury, Christchurch, New Zealand
7Agroclim, INRAE, Avignon, France

Contact the author*

Keywords

grapevine, phenology, temperature, climate change, modelling

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Consumer perception and preferences regarding grape varieties resilient to climate change

Innovative solutions have been developed for winemakers to adopt in their cultivation practices [1]. Two of the implementations addressed in this study are the use of strains adapted to arid climates (AAC) and the use of varieties resistant to fungal diseases (PIWIs).

Histoire des Vitis depuis leurs origines possibles sur la Pangée jusqu’aux cépages cultivés : un exemple de résilience liée à la biodiversité des espèces

The first forms of life on earth were bacteria and single-celled blue-green algae. They evolved into land plants around 500 million years ago, developing mechanisms for surviving on land, such as roots, stems and leaves. This evolution also led them to coexist with other organisms, such as insects and animals, for pollination and seed dispersal, as well as to resist environmental factors such as drought and disease.

Image based vineyard yield prediction using empirical models to estimate bunch occlusion by leaves

Vineyard yield estimation brings several advantages to the entire wine industry. It can provide useful information to support decision making regarding bunch thinning practices, harvest logistics and marketing strategies, as well as to manage stored wine and cellar tanks allocation. Today, this estimation is performed mainly using manual methods based on destructive bunch sampling.

Study of the grape glycosidic aroma precursors by crossing SPE-GC/MS, SPME-GC/MS and LC/QTOF methods

Depending on the variety, grapes contain several chemical classes of aromatic compounds (i.e., terpenols, norisoprenoids, benzenoids) mainly stored as glycosides in berry skin.

Effect of foliar treatment of methyl jasmonate and nanoparticles doped with methyl jasmonate on Monastrell grape skin cell wall

The use of elicitors to promote the biosynthesis of secondary metabolites in grapes has been tackled in several reports, however its study linked to nanotechnology is less developed.