Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/45328
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Campo DC Valor Lengua/Idioma
dc.contributor.authorSuárez Barranco, María Dolores-
dc.contributor.authorZarco-Tejada, Pablo J.-
dc.contributor.authorGonzález-Dugo, Victoria-
dc.contributor.authorJiménez-Berni, José A.-
dc.contributor.authorSagardoy Calderón, Ruth-
dc.contributor.authorMorales Iribas, Fermín-
dc.date.accessioned2012-02-09T11:59:10Z-
dc.date.available2012-02-09T11:59:10Z-
dc.date.issued2010-02-
dc.identifier.citationSuárez L, Zarco-Tejada PJ, Gonazález-Dugo V, Berni JAJ, Sagardoy R, Morales F. Detecting water stress effects on fruit quality in orchards with time-series PRI airborne imagery. Remote Sensing of Environment 114 (2): 286-298 (2010)es_ES
dc.identifier.issn0034-4257-
dc.identifier.urihttp://hdl.handle.net/10261/45328-
dc.description13 Pags., 4 Tabls., 12 Figs.es_ES
dc.description.abstractA 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 between the xanthophyll epoxidation state (EPS) and PRI at leaf and airborne-canopy level. At harvest, fruit size, Total Soluble Solids (TSS) and Tritatable Acidity (TA) were measured to characterize fruit quality. A statistically significant relationship between EPS and PRI was found at the leaf (r2 = 0.81) and canopy level (r2 = 0.41). Airborne-derived crown PRI calculated from the imagery acquired during the fruit growth was related to the ratio of the total soluble solids normalized by the tritatable acidity (TSS/TA), an indicator of fruit quality measured on the same trees, yielding a coefficient of determination of r2 = 0.50. The relationship between the integral of PRI time-series and TSS/TA yielded a coefficient of determination of r2 = 0.72 (peach) and r2 = 0.61 (nectarines). On the contrary, the relation between TSS/TA and the time-series of crown thermal imagery was very weak (r2 = 0.21 and 0.25 respectively). These results suggest that a physiological remote sensing indicator related to photosynthesis, such as PRI, is more appropriate for fruit quality assessment than crown temperature, the established method of water stress detection, which is more related to crown transpiration. A radiative transfer modelling study was conducted to assess the potential validity of this methodology for fruit quality assessment when using medium spatial resolution imagery. The analysis shows important effects of soil and shadows on the PRI vs EPS relationship used for fruit quality assessment if non-pure crown reflectance was extracted from the imagery.es_ES
dc.description.sponsorshipFinancial 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 Aragón (group A03) is gratefully acknowledged, and support in-kind provided by Bioiberica through the project PETRI PET2005-0616.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsclosedAccesses_ES
dc.subjectPhotochemical Reflectance Index (PRIes_ES
dc.subjectEPSes_ES
dc.subjectWater stresses_ES
dc.subjectFruit qualityes_ES
dc.subjectTSS/TAes_ES
dc.subjectMultispectral remote sensinges_ES
dc.subjectThermales_ES
dc.titleDetecting water stress effects on fruit quality in orchards with time-series PRI airborne imageryes_ES
dc.typeartículoes_ES
dc.identifier.doi10.1016/j.rse.2009.09.006-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.rse.2009.09.006es_ES
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairetypeartículo-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
Aparece en las colecciones: (EEAD) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato
accesoRestringido.pdf15,38 kBAdobe PDFVista previa
Visualizar/Abrir
Show simple item record

CORE Recommender

SCOPUSTM   
Citations

109
checked on 16-mar-2024

WEB OF SCIENCETM
Citations

100
checked on 25-feb-2024

Page view(s)

520
checked on 18-mar-2024

Download(s)

109
checked on 18-mar-2024

Google ScholarTM

Check

Altmetric

Altmetric


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.