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.
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.
Keywords: grapevine, modelling, phenology, veraison, flowering, temperature