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OLIVE YIELDS FORECASTS AND OIL PRICE TRENDS IN MEDITERRANEAN AREAS: A COMPREHENSIVE ANALYSIS OF THE LAST TWO DECADES

Published online by Cambridge University Press:  29 February 2016

F. ORLANDI ,
F. AGUILERA ,
C. GALÁN ,
M. MSALLEM  and
M. FORNACIARI
F. ORLANDI
Affiliation:
Department of Civil and Environmental Engineering, University of Perugia, Borgo XX Giugno 74, 06121, Perugia, Italy
F. AGUILERA*
Affiliation:
Department of Animal Biology, Plant Biology and Ecology, University of Jaen, Agrifood Campus of International Excellence (CeiA3), Campus de Las Lagunillas, 23071, Jaen, Spain
C. GALÁN
Affiliation:
Department of Botany, Ecology and Plant Physiology, University of Cordoba, Agrifood Campus of International Excellence (CeiA3), Campus of Rabanales, 14071, Cordoba, Spain
M. MSALLEM
Affiliation:
Institut de l'Olivier, BP 208, 1082 Tunis, Tunisia
M. FORNACIARI
Affiliation:
Department of Civil and Environmental Engineering, University of Perugia, Borgo XX Giugno 74, 06121, Perugia, Italy
*
‡Corresponding author. Email: [email protected]
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Summary

The main objective of this research was to utilize pollen monitoring methodology to predict olive yields in three Mediterranean olive cultivation areas (Spain, Italy and Tunisia) and their relationships with the olive oil price dynamics. Moreover, olive yield and olive oil production compared with olive oil price trends in the last two decades was evaluated. The statistical analyses confirmed that biological parameters such as the pollen emission, the pollen season start (Pss), the full flowering (Ff) date or the pollen season length (Psl) showed positive correlation values with productive parameters, especially the Pollen Index (Pi). However, the difficulty to define clear relationships with oil price for optimizing the marketing strategies can be due to the olive sector European policy and to the complex international olive oil market situation. The occurrence of unharvested trees was increased and the reduction in agricultural operations as well as non-harvesting could become more widespread above all in traditional extensive systems.

Type
Research Article
Information
Experimental Agriculture , Volume 53 , Issue 1 , January 2017 , pp. 71 - 83
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Copyright
Copyright © Cambridge University Press 2016 

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References

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