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Identiļ¬cation of asymptomatic plants infected with Citrus tristeza virus from a time series of leaf spectral characteristics

2017Journal article Restricted access
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dc.contributor.authorAfonso, Andreia
dc.contributor.authorGuerra, Rui Manuel Farinha das Neves
dc.contributor.authorCavaco, A. M.
dc.contributor.authorPinto, Patricia IS
dc.contributor.authorAndrade, AndrƩ
dc.contributor.authorDuarte, AmĆ­lcar
dc.contributor.authorPower, Deborah
dc.contributor.authorMarques, N T.
dc.date.accessioned2017-09-14T10:18:56Z
dc.date.available2017-09-14T10:18:56Z
dc.date.issued2017
dc.description.abstractCitrus tristeza virus (CTV) affects citrus crops with differing severity, depending on the viral strain, the citrus cultivar and the scion/rootstock combinations. In this study we address the problem of identifying asymptomatic infected plants using reflectance spectra of the leaves in the visible/near infrared region. Sixteen young citrus plants (8 Citrus x clementina hort. ex Tanaka ā€˜Finaā€™ and 8 Citrus sinensis (L.) Osbeck ā€˜Valencia Lateā€™) were split into control and T318A isolate infected groups. Measurements of reflectance in the 400-1100 nm range, in two leaves per plant, were performed monthly over 6 months and the presence of the virus was confirmed by IC/RT-PCR and real-time PCR. The spectra acquired in a single day of measurements was inconsistent for inoculated and control plants. However, by monitoring the same leaves over 6 months it was possible to identify infected plants on the basis of the spectra time evolution. In order to achieve this a simple unfolding implementation of 3-way PCA was applied such that group separation in the scores plot was spontaneous and not forced by any a priori assumption. The model was tested through leave-one-out cross validation with a good rate of correct classification for the left out sample. A real situation was simulated by applying the NPCA algorithm to healthy plants only and checking if the infected ones would be projected on the model scores plot as outliers. Again, a good rate of classification was obtained. Finally, we discuss the spectral features that may be associated with the clustering obtained through NPCA and their physiological significance. Reflectance measurements between infected and healthy samples of two citrus cultivars and their correlation with real-time PCR results for the presence of CTV suggest reflectance spectra of the leaves in the visible/near infrared region is a promising tool for plant stress monitoring linked to the presence of CTV infection prior to symptom expression.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doihttp://dx.doi.org/10.1016/j.compag.2017.08.001pt_PT
dc.identifier.issn0168-1699
dc.identifier.otherAUT: RGU01166; ACA01304; ADU00268; DPO00386; NMA00640;
dc.identifier.urihttp://hdl.handle.net/10400.1/9939
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0168169916310559?via%3Dihubpt_PT
dc.subjectSpectroscopypt_PT
dc.subjectN-way PCApt_PT
dc.subjectCTVpt_PT
dc.subjectClosteroviruspt_PT
dc.subjectCitrus sinensispt_PT
dc.subjectCitrus clementinapt_PT
dc.titleIdentiļ¬cation of asymptomatic plants infected with Citrus tristeza virus from a time series of leaf spectral characteristicspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage350pt_PT
oaire.citation.startPage340pt_PT
oaire.citation.titleComputers and Electronics in Agriculturept_PT
oaire.citation.volume141pt_PT
person.familyNameAfonso
person.familyNameGuerra
person.familyNameCavaco Guerra
person.familyNamePinto
person.familyNameAlƧada Baptista Rebelo de Andrade
person.familyNameDuarte
person.familyNamePower
person.familyNameTomƔs Marques
person.givenNameAndreia
person.givenNameRui
person.givenNameAna Margarida
person.givenNamePatricia IS
person.givenNameAndrƩ
person.givenNameAmilcar
person.givenNameDeborah Mary
person.givenNameNatƔlia
person.identifier1121133
person.identifierC-1285-2012
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person.identifier.ciencia-idBB11-9B39-F095
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person.identifier.ciencia-idC91E-B434-E327
person.identifier.ciencia-idE51D-5CCB-B1C6
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person.identifier.ciencia-id081B-5FD8-0E51
person.identifier.ciencia-id891A-8A44-3CAE
person.identifier.ciencia-id1510-CD2F-81CE
person.identifier.orcid0000-0003-4906-0082
person.identifier.orcid0000-0002-8642-5792
person.identifier.orcid0000-0003-2708-5991
person.identifier.orcid0000-0001-7854-3898
person.identifier.orcid0000-0002-5900-8782
person.identifier.orcid0000-0002-2763-1916
person.identifier.orcid0000-0003-1366-0246
person.identifier.orcid0000-0002-0222-621X
person.identifier.ridM-3817-2013
person.identifier.ridF-1472-2010
person.identifier.scopus-author-id6602899707
person.identifier.scopus-author-id10240774300
person.identifier.scopus-author-id7102602102
person.identifier.scopus-author-id7101806760
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
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