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Prediction of grape production by grapevine cultivar Godello in north-west Spain

Published online by Cambridge University Press:  10 March 2011

M. FERNÁNDEZ-GONZÁLEZ ,
O. ESCUREDO ,
F. J. RODRÍGUEZ-RAJO ,
M. J. AIRA  and
V. JATO
M. FERNÁNDEZ-GONZÁLEZ*
Affiliation:
Department of Plant Biology and Soil Sciences, Sciences Faculty of Ourense, University of Vigo, Ourense E-32004, Spain
O. ESCUREDO
Affiliation:
Department of Plant Biology and Soil Sciences, Sciences Faculty of Ourense, University of Vigo, Ourense E-32004, Spain
F. J. RODRÍGUEZ-RAJO
Affiliation:
Department of Plant Biology and Soil Sciences, Sciences Faculty of Ourense, University of Vigo, Ourense E-32004, Spain
M. J. AIRA
Affiliation:
Department of Botany, Pharmacy Faculty, University of Santiago of Compostela, Santiago of Compostela E-15782, Spain
V. JATO
Affiliation:
Department of Plant Biology and Soil Sciences, Sciences Faculty of Ourense, University of Vigo, Ourense E-32004, Spain
*
*To whom all correspondence should be addressed. Email: [email protected]
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Summary

Advance knowledge of potential grape production is of great value for harvest and post-harvest planning, in that it enables the winery to estimate requirements in terms of crop insurance and grape-picking workforce, and to optimize post-harvest processes.

An aerobiological and phenological study of the Godello grape variety was carried out at a vineyard belonging to the Ribeiro Designation of Origin (Ourense, Spain) from 2004 to 2009. Aerobiological data were obtained using a Lanzoni VPPS-2000 volumetric trap placed inside the vineyard, while phenological observations were conducted on 20 selected vines, using the Biologische Bundesanstalt, Bundessortenamt and chemical industry(BBCH) standardized scale. Pollen production per anther and per grapevine was studied during the flowering stage, and airborne Vitis pollen counts were recorded. This information was used to develop a model for predicting local grape production. The equation obtained accounted for 0·99 of harvest variability, thus enabling accurate prediction of grape production 1-month in advance.

Type
Crops and Soils
Information
The Journal of Agricultural Science , Volume 149 , Issue 6 , December 2011 , pp. 725 - 736
Copyright
Copyright © Cambridge University Press 2011

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References

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