Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/105310
Title: Modelling the phenological development of cv. Touriga Nacional and Encruzado in the Dão Wine Region, Portugal
Authors: Rodrigues, Pedro
Pedroso, Vanda
Henriques, Carla 
Matos, Ana
Reis, Samuel
Santos, João A.
Keywords: Phenological development; Modelling; Grapevine; Touriga Nacional; Encruzado; Dão Wine Region
Issue Date: 2021
Publisher: International Viticulture and Enology Society
Project: CENTRO-04-3928- FEDER-000001 – Strategic Project to Support Wine Sector in the Central Region (Portugal) 
UIDB/00681/2020 
UIDB/04033/2020 
CERNAS Research Centre and the Polytechnic Institute of Viseu 
Clim4Vitis project – “Climate change impact mitigation for European viticulture: knowledge transfer for an integrated approach” European Union’s Horizon 2020 Research and Innovation Programme, under grant agreement no. 810176 
Serial title, monograph or event: Oeno One
Volume: 55
Issue: 3
Abstract: The grapevine vegetative cycle, which is morphologically described by its phenological stages, is strongly determined by weather conditions. Phenological models are widely applied in viticulture and are based on the assumption that air temperature is the preponderant environmental factor which determines vine development. In this study, phenological development models (PDMs) were calibrated and validated to simulate several intermediate stages between budbreak and veraison for cv. Touriga Nacional (TN) and cv. Encruzado (EN) winegrape varieties, which are widely grown in the Dao Wine Region, Portugal. These are thermal models, with which the daily sum of the rate of forcing (R) was calculated using a sigmoid function. For this purpose, a high-quality and comprehensive dataset was used which combines phenology data and weather station data in several vineyard sites spread over the region. The model showed an overall high performance (global RMSE of 5.4 days for EN and 5.0 days for TN), although it depended on the phenological stage and variety. The RMSE ranged from 3.2 to 6.2 for TN, and from 3.9 to 6.8 for EN. For both varieties and in all phenological stages, the RMSE was significantly lower than the standard deviation of the phenological observations. For TN, the model efficiency was greater than 0.71 for all phenological stages. In future studies, these models will be combined with specific models that simulate the evolution of winegrape berry quality indicators commonly used for harvest decision support. The relatively low complexity of the selected PDMs enables their use as a crop management and decision support tool. To our knowledge, no previous studies have been carried out on either of these two varieties and their intermediate phenological timings. The present study is an illustration of conceivable model development under diverse environmental conditions, thus allowing similar approaches to be adopted in other wine regions on a worldwide scale.
URI: https://hdl.handle.net/10316/105310
ISSN: 2494-1271
DOI: 10.20870/oeno-one.2021.55.3.4646
Rights: openAccess
Appears in Collections:I&D CMUC - Artigos em Revistas Internacionais

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