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Assessment of an empirical spatio-temporal model of the grapevine phenology at the within-field scale

Published online by Cambridge University Press:  01 June 2017

N. Verdugo-Vásquez ,
C. Acevedo-Opazo ,
H. Valdés-Gómez ,
I. García de Cortázar-Atauri  and
B. Tisseyre
N. Verdugo-Vásquez*
Affiliation:
Universidad de Talca, Facultad de Ciencias Agrarias, CITRA, 2 Norte, 685 Talca, Chile Pontificia Universidad Católica de Chile, Departamento de Fruticultura y Enología, Vicuña Mackenna 4860, Santiago, Chile INRA, AGROCLIM Unit, Domaine St Paul, Site Agroparc 84914 Avignon cedex 9, France Montpellier SupAgro/Irstea, UMR ITAP, Bât. 21, 2 Pl. Pierre Viala, Montpellier 34060, France
C. Acevedo-Opazo
Affiliation:
Universidad de Talca, Facultad de Ciencias Agrarias, CITRA, 2 Norte, 685 Talca, Chile
H. Valdés-Gómez
Affiliation:
Pontificia Universidad Católica de Chile, Departamento de Fruticultura y Enología, Vicuña Mackenna 4860, Santiago, Chile
I. García de Cortázar-Atauri
Affiliation:
INRA, AGROCLIM Unit, Domaine St Paul, Site Agroparc 84914 Avignon cedex 9, France
B. Tisseyre
Affiliation:
Montpellier SupAgro/Irstea, UMR ITAP, Bât. 21, 2 Pl. Pierre Viala, Montpellier 34060, France
*
†E-mail: nverdugo@utalca.cl
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Abstract

The aim of this work is to calibrate and validate an empirical approach to predict the date of occurrence of the grapevine phenology (budburst, flowering and veraison) temporally and spatially at the within-field scale. It is based on the collaboration between a classical model of phenology based on climate data and a spatial model calibrated with ancillary data of phenology observations. This approach was tested and validated on a field of cv Cabernet Sauvignon. Results showed that the spatial component improved the fit of the climatic model, allowing the generation of maps of the grapevine phenology with errors lower than 5 days of prediction. Spatio-temporal model errors were mainly associated with the temporal component of the model.

Keywords

within field variabilityVitis viniferahomogeneous management zonesmodelling
Type
Precision Horticulture and Viticulture
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 534 - 539
Copyright
© The Animal Consortium 2017 

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References

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