Predicting the flowering date of Portuguese grapevine varieties using temperature-based phenological models: a multi-site approach

• Type: Article in International Scientific Journal
• Date: 2018

Authors

Pereira, MR (Author) Other; Ribeiro, H (Author) FCUP; Abreu, I (Author) FCUP; Eiras Dias, J (Author) Other; Mota, T (Author) Other; Mario Cunha (Author) FCUP

Journal

Title: Journal of Agricultural Science

Vol. 156

Pages: 865-876

ISSN: 0021-8596

Publisher: Cambridge University Press

Indexing

ISI Web of Knowledge - 10 Citations

Scopus - 13 Citations

Other information

Authenticus ID: P-00P-STF

DOI: 10.1017/s0021859618000850

Abstract (EN): Phenological models for predicting the grapevine flowering were tested using phenological data of 15 grape varieties collected between 1990 and 2014 in Vinhos Verdes and Lisbon Portuguese wine regions. Three models were tested: Spring Warming (Growing Degree Days - GDD model), Spring Warming modified using a triangular function - GDD triangular and UniFORC model, which considers an exponential response curve to temperature. Model estimation was performed using data on two grape varieties (Loureiro and Fernao Pires), present in both regions. Three dates were tested for the beginning of heat unit accumulation (t(0)( )date): budburst, 1 January and 1 September. The best overall date was budburst. Furthermore, for each model parameter, an intermediate range of values common for the studied regions was estimated and further optimized to obtain one model that could he used for a diverse range of grape varieties in both wine regions. External validation was performed using an independent data set from 13 grape varieties (seven red and six white), different from the two used in the estimation step. The results showed a high coefficient of determination (R-2 : 0.59-0.89), low Root Mean Square Error (RMSE: 3-7 days) and Mean Absolute Deviation (MAD: 2-6 days) between predicted and observed values. The UniFORC model overall performed slightly better than the two GDD models, presenting higher R-2 (0.75) and lower RMSE (4.55) and MAD (3.60). The developed phenological models presented good accuracy when applied to several varieties in different regions and can be used as a predictor tool of flowering date in Portugal.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12