The crop growth model IVINE (Italian Vineyard Integrated Numerical model for Estimating physiological values) was developed to simulate grapevine phenological and physiological processes and it was originally optimized only for cv. Nebbiolo. The IVINE model requires a set of meteorological data as boundary conditions; moreover informations about the vineyard and the cultivar are also required as input data. The main model outputs are: the timing of phenological stages, the leaf development, the yield, the berry sugar concentration and the predawn leaf water potential. Recently IVINE model has been calibrated and validated also on different grapevine varieties (cv. Barbera, cv. Vermentino, cv Cannonau). This work shows the results of these preliminary simulations of grapevine growth processes executed using datasets assembled in the frame of MACSUR2 project.

Simulations on different grapevine cultivars with the IVINE crop growth model.

Andreoli Valentina;Cassardo Claudio;Cavalletto Silvia;Spanna Federico
2019-01-01

Abstract

The crop growth model IVINE (Italian Vineyard Integrated Numerical model for Estimating physiological values) was developed to simulate grapevine phenological and physiological processes and it was originally optimized only for cv. Nebbiolo. The IVINE model requires a set of meteorological data as boundary conditions; moreover informations about the vineyard and the cultivar are also required as input data. The main model outputs are: the timing of phenological stages, the leaf development, the yield, the berry sugar concentration and the predawn leaf water potential. Recently IVINE model has been calibrated and validated also on different grapevine varieties (cv. Barbera, cv. Vermentino, cv Cannonau). This work shows the results of these preliminary simulations of grapevine growth processes executed using datasets assembled in the frame of MACSUR2 project.
2019
XXII Convegno Nazionale di Agrometeorologia (AIAM 2019) “Ricerca ed innovazione per la gestione del rischio meteo-climatico in agricoltura”
Portici (NA, Italy)
11-13 giugno 2019
Atti del XXII Convegno Nazionale di Agrometeorologia (AIAM 2019)
AIAM - Associazione Italiana di AgroMeteorologia
121
124
978-88-5497-000-7
http://amsacta.unibo.it/6175/1/Atti_XXII_AIAM_2019.pdf
Numerical modeling, model calibration and validation, growth processes, Vitis vinifera
Andreoli Valentina, Cassardo Claudio, Cavalletto Silvia, Spanna Federico
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1706697
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