Journal article

Detecting water stress effects on fruit quality in orchards with time-series PRI airborne imagery

L Suarez, PJ Zarco-Tejada, V Gonzalez-Dugo, JAJ Berni, R Sagardoy, F Morales, E Fereres

REMOTE SENSING OF ENVIRONMENT | ELSEVIER SCIENCE INC | Published : 2010

Abstract

A methodology for the assessment of fruit quality in crops subjected to different irrigation regimes is presented. High spatial resolution multispectral and thermal airborne imagery were used to monitor crown temperature and the Photochemical Reflectance Index (PRI) over three commercial orchards comprising peach, nectarine and orange fruit trees during 2008. Irrigation regimes included sustained and regulated deficit irrigation strategies, leading to high variability of fruit quality at harvest. Stem water potential was used to monitor individual tree water status on each study site. Leaf samples were collected for destructive sampling of xanthophyll pigments to assess the relationship betw..

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University of Melbourne Researchers

Grants

Awarded by Spanish Ministry of Science and Innovation (MCI)


Awarded by EXPLORA-INGENIO


Awarded by CONSOLIDER


Awarded by Gobierno de Aragon


Awarded by Bioiberica


Funding Acknowledgements

Financial support from the Spanish Ministry of Science and Innovation (MCI) for the projects AGL2005-04049, EXPLORA-INGENIO AGL2006-26038-E/AGR, CONSOLIDER CSD2006-67, and AGL2003-01468, and from Gobierno de Aragon (group A03) is gratefully acknowledged, and support in-kind provided by Bioiberica through the project PETRI PET2005-0616. Technical support from UAV Navigation and Tetracam Inc. is also acknowledged. M. Medina, C. Ruz, R. Gutierrez, A. Vera, D. Notario, I. Calatrava and M. Ruiz Bernier are acknowledged for measurements and technical support in field and airborne campaigns. The Plant Stress Physiology Group of the Experimental Station of Aula Dei (CSIC) in Zaragoza is acknowledged for technical support on the leaf pigment extraction and quantification.