PREDICTION OF LEAF WATER STATUS USING SPECTRAL INDICES FOR YOUNG OLIVE TREES

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dc.contributor.authorCamoglu, Gokhan
dc.contributor.authorKaya, Unal
dc.contributor.authorAkkuzu, Erhan
dc.contributor.authorGenc, Levent
dc.contributor.authorGurbuz, Melek
dc.contributor.authorMengu, Gulay Pamuk
dc.contributor.authorKizil, Unal
dc.date.accessioned2019-10-27T21:42:33Z
dc.date.available2019-10-27T21:42:33Z
dc.date.issued2013
dc.departmentEge Üniversitesien_US
dc.description.abstractIt is important to determine the plant water stress before it can reduce the yield or becomes visible. The aim of this study was to investigate the relationship between remotely sensed hyperspectral reflectance indices and leaf water status (LWS) of olive seedlings (Olea europaea L. cv. 'Ayvalik', 'D9', 'D36', 'Erdek Yaglik', 'Frantoio' and 'Gemlik') at different irrigation regime. A pot experiment was conducted in field conditions with 2-years old olive seedlings for the seasons 2011 and 2012. Four levels of water treatment were applied to the pots to bring about different stress conditions; no stress (I-100), mild stress (I-66), severe stress (I-33) and full stress (I-0). Leaf water potential (LWP) and relative water content (RWC) were determined to assess the LWS of the plants. In addition, canopy spectral reflectance was measured with a handheld spectroradiometer and several spectral vegetation indices were calculated using canopy reflectance data. Analysis showed that the irrigation requirement of Frantoio cultivar was the highest when compared to that of other cultivars, while the lowest amount of water was required by Ayvalik cultivar. According to the stepwise multiple linear regression (SMLR) analysis between spectral indices and LWS of olive seedlings, the coefficient of determination (R-2) of model between RWC and Photochemical Reflectance Index (PRI) was 0.70, while it was 0.81 between LWP and PRI, Soil Adjusted Vegetation Index (SAVI), Normalized Difference Vegetation Index (NDVI) and Normalized Pigment Chlorophyll Index (NPCI). Accordingly, it appeared that LWP could be detected more accurately than RWC using spectral indices. Results of this study indicated that the olive plant was very susceptible to water stress and the remotely sensed spectral data could be used to determine RWC and LWP as an indicator of water stress.en_US
dc.description.sponsorshipGeneral Directorate of Agricultural Research and Policy (GDAR)Gida Tarim Ve Hayvancilik Bakanligien_US
dc.description.sponsorshipThis research was funded by the General Directorate of Agricultural Research and Policy (GDAR).en_US
dc.identifier.endpage2720en_US
dc.identifier.issn1018-4619
dc.identifier.issn1610-2304
dc.identifier.issn1018-4619en_US
dc.identifier.issn1610-2304en_US
dc.identifier.issue9Aen_US
dc.identifier.startpage2713en_US
dc.identifier.urihttps://hdl.handle.net/11454/46914
dc.identifier.volume22en_US
dc.identifier.wosWOS:000326911800012en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherParlar Scientific Publications (P S P)en_US
dc.relation.ispartofFresenius Environmental Bulletinen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOliveen_US
dc.subjectwater stressen_US
dc.subjectleaf water statusen_US
dc.subjectspectral indicesen_US
dc.subjectspectral reflectanceen_US
dc.titlePREDICTION OF LEAF WATER STATUS USING SPECTRAL INDICES FOR YOUNG OLIVE TREESen_US
dc.typeArticleen_US

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