Terroir 2012 banner
IVES 9 IVES Conference Series 9 A general phenological model for characterising grape vine flowering and véraison

A general phenological model for characterising grape vine flowering and véraison

Abstract

The timing of phenology is critical if grape quality potential is to be optimized. Phenological process based models are used to predict phenology. In this study, three different models were tested to predict flowering and veraison of grapevine (Vitis vinifera L.) using a new extensive phenological database. The Spring Warming model was found optimal in its trade-off between parsimony (number of parameters) and efficiency. The optimal parameter combination found for this model to calculate the degree-days was 0°C for the base temperature and the 60th day of the year for the starting day of accumulation (northern hemisphere). This model was validated at the varietal level, performed better than the classic Spring Warming model with Tb of 10 °C and t0 of 1st January (northern hemisphere) and remains easy to use.

DOI:

Publication date: October 1, 2020

Issue: Terroir 2012

Type: Article

Authors

Audra K. PARKER (1,2,3,4), Inaki GARCIA DE CORTAZAR-ATAURI (5), Isabelle CHUINE (6), Rainer W. HOFMANN (2), Mike C.T. TROUGHT (1), Cornelis VAN LEEUWEN (3,4)

(1) The New Zealand Institute for Plant & Food Research Ltd. Marlborough Wine Research Centre, 85 Budge St, PO Box 845, Blenheim 7240, New Zealand.
(2) Lincoln University, P.O. Box 84, Lincoln 7647, New Zealand.
(3) Univ. Bordeaux, ISVV, Ecophysiology and functional genomics of grapevines, UMR 1287, F-33140 Villenave d’Ornon, France
(4) Bordeaux Sciences Agro, ISVV, Ecophysiology and functional genomics, UMR 1287, F-33140 Villenave d’Ornon, France
(5) INRA-Agroclim, Domaine St Paul – Site Agroparc, 84914 Avignon cedex 9, France.
(6) Centre d’Ecologie Fonctionnelle et Evolutive, Equipe Bioflux, CNRS, 1919 route de Mende, 34293 Montpellier Cedex 5, France.

Contact the author

Keywords

grapevine, modelling, phenology, veraison, flowering, temperature

Tags

IVES Conference Series | Terroir 2012

Citation

Related articles…

SKIN AND SEED EXTRACTS DIFFERENTLY BEHAVE TOWARDS SALIVARY PROTEINS

[lwp_divi_breadcrumbs home_text="IVES" use_before_icon="on" before_icon="||divi||400" module_id="publication-ariane" _builder_version="4.19.4" _module_preset="default" module_text_align="center" text_orientation="center" custom_margin="65px||18px||false|false"...

Green Vineyards: skills development for wine industry personnel: responding to the challenges of climate change

A fair and sustainable society, with a modern, resource-efficient and competitive economy cannot be achieved without a workforce to support it.

Enzyme treatments during pre-fermentative maceration of white winegrapes: effect on volatile organic compounds and chromatic traits

Volatile organic compounds (VOCs) are very important for the characterisation and quality of the final white wine. An oenological practice to increase the extraction of aroma compounds is the cold pre-fermentative maceration [1,2], although it may also release phenolic compounds that confer darker chromatic traits to white wines, not appreciated by consumers. This practice could be improved by the use of enzymes in order to facilitate the release of the odorous molecules. In this study, the effect of different enzyme treatments during skin contact on the chromatic characteristics and volatile composition of white musts from four winegrape varieties was evaluated.

Advances in phenology modelling of the grapevine

Historical records of grapevine phenology have been collected over decades throughout different winegrowing regions. These records have demonstrated advances in key developmental stages such as budburst, flowering and veraison because of increased temperatures due to climate change.

Characterising the chemical typicality of regional Cabernet Sauvignon wines

Aim: To define the uniqueness of Australian Cabernet Sauvignon wines by evaluation of the chemical composition (volatile aroma and non-volatile constituents) that may drive regional typicity, and to correlate this with comprehensive sensory analysis data to identify the most important compounds driving relevant sensory attributes.