Journal article

Tree crown parameters assessment using 3D photo reconstruction as a tool for selection in olive breeding programs

L Leon, RA Diaz-Varela, PJ Zarco-Tejada, R de la Rosa, E Costes (ed.)

X INTERNATIONAL SYMPOSIUM ON MODELLING IN FRUIT RESEARCH AND ORCHARD MANAGEMENT | INT SOC HORTICULTURAL SCIENCE | Published : 2017

Abstract

In olive, both discontinuous canopy (open vase configuration) and continuous canopy (hedgerow) systems are used in commercial planting. Reliable and cost effective plant architecture characterization is necessary to test the suitability of cultivars to specific growing systems, particularly in olive breeding programs where a large number of genotypes must be evaluated. In this work, the performance of a method for the estimation of olive tree height and crow diameter based on low cost unmanned aerial vehicle (UAV) imagery was evaluated. Selections from breeding programs cultivated either on discontinuous or continuous canopy cropping systems were used for developing the models. Averaged data..

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University of Melbourne Researchers

Grants

Awarded by Conselleria de Cultura, Educacion e Ordenacion Universitaria. Xunta de Galicia


Awarded by National Institute for Agricultural and Food Research and Technology (INIA)


Awarded by Spanish "Ministerio de Economia y Competitividad"


Funding Acknowledgements

Thanks are due to Todolivo S.L. for hosting the hedgerow trial. This work has been partly supported by research projects EM2014-003 from the "Conselleria de Cultura, Educacion e Ordenacion Universitaria. Xunta de Galicia", RTA2012-00018-C02-01 from the National Institute for Agricultural and Food Research and Technology (INIA), partially funded by the European Regional Development Fund (ERDF), and AGL2012-40053-C03-01 from the Spanish "Ministerio de Economia y Competitividad". Plant materials evaluated in this work were obtained in the cooperative breeding program carried out by the University of Cordoba and the Institute of Agricultural and Fishery Research and Training (IFAPA).