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Identification of asymptomatic plants infected with Citrus tristeza virus from a time series of leaf spectral characteristics

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Resumo:Citrus 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 ‘Fina’ and 8 Citrus sinensis (L.) Osbeck ‘Valencia Late’) 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.
Autores principais:Afonso, Andreia
Outros Autores:Guerra, Rui Manuel Farinha das Neves; Cavaco, A. M.; Pinto, Patricia IS; Andrade, André; Duarte, Amílcar; Power, Deborah; Marques, N T.
Assunto:Spectroscopy N-way PCA CTV Closterovirus Citrus sinensis Citrus clementina
Ano:2017
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso restrito
Instituição associada:Universidade do Algarve
Idioma:inglês
Origem:Sapientia - Universidade do Algarve
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author Afonso, Andreia
author2 Guerra, Rui Manuel Farinha das Neves
Cavaco, A. M.
Pinto, Patricia IS
Andrade, André
Duarte, Amílcar
Power, Deborah
Marques, N T.
author2_role author
author
author
author
author
author
author
author_facet Afonso, Andreia
Guerra, Rui Manuel Farinha das Neves
Cavaco, A. M.
Pinto, Patricia IS
Andrade, André
Duarte, Amílcar
Power, Deborah
Marques, N T.
author_role author
contributor_name_str_mv Sapientia
country_str PT
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datacite.contributors.contributor.contributorName.fl_str_mv Sapientia
datacite.creators.creator.creatorName.fl_str_mv Afonso, Andreia
Guerra, Rui Manuel Farinha das Neves
Cavaco, A. M.
Pinto, Patricia IS
Andrade, André
Duarte, Amílcar
Power, Deborah
Marques, N T.
datacite.date.Accepted.fl_str_mv 2017-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2017-09-14T10:18:56Z
datacite.date.embargoed.fl_str_mv 2017-09-14T10:18:56Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_16ec
datacite.subjects.subject.fl_str_mv Spectroscopy
N-way PCA
CTV
Closterovirus
Citrus sinensis
Citrus clementina
datacite.titles.title.fl_str_mv Identification of asymptomatic plants infected with Citrus tristeza virus from a time series of leaf spectral characteristics
dc.contributor.none.fl_str_mv Sapientia
dc.creator.none.fl_str_mv Afonso, Andreia
Guerra, Rui Manuel Farinha das Neves
Cavaco, A. M.
Pinto, Patricia IS
Andrade, André
Duarte, Amílcar
Power, Deborah
Marques, N T.
dc.date.Accepted.fl_str_mv 2017-01-01T00:00:00Z
dc.date.available.fl_str_mv 2017-09-14T10:18:56Z
dc.date.embargoed.fl_str_mv 2017-09-14T10:18:56Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10400.1/9939
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Elsevier
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.subject.none.fl_str_mv Spectroscopy
N-way PCA
CTV
Closterovirus
Citrus sinensis
Citrus clementina
dc.title.fl_str_mv Identification of asymptomatic plants infected with Citrus tristeza virus from a time series of leaf spectral characteristics
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description Citrus 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 ‘Fina’ and 8 Citrus sinensis (L.) Osbeck ‘Valencia Late’) 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.
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language eng
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oai_identifier_str oai:sapientia.ualg.pt:10400.1/9939
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person_str_mv Afonso, Andreia
Afonso, Andreia
https://www.ciencia-id.pt/BB11-9B39-F095
BB11-9B39-F095
http://orcid.org/0000-0003-4906-0082
0000-0003-4906-0082
Guerra, Rui Manuel Farinha das Neves
Guerra, Rui Manuel Farinha das Neves
https://www.ciencia-id.pt/3D16-5067-D6BB
3D16-5067-D6BB
http://orcid.org/0000-0002-8642-5792
0000-0002-8642-5792
Cavaco, A. M.
Cavaco, A. M.
https://www.ciencia-id.pt/C91E-B434-E327
C91E-B434-E327
http://orcid.org/0000-0003-2708-5991
0000-0003-2708-5991
Pinto, Patricia IS
Pinto, Patricia IS
https://www.ciencia-id.pt/E51D-5CCB-B1C6
E51D-5CCB-B1C6
http://orcid.org/0000-0001-7854-3898
0000-0001-7854-3898
Andrade, André
Andrade, André
https://www.ciencia-id.pt/F513-56ED-7088
F513-56ED-7088
http://orcid.org/0000-0002-5900-8782
0000-0002-5900-8782
Duarte, Amílcar
Duarte, Amílcar
https://www.ciencia-id.pt/081B-5FD8-0E51
081B-5FD8-0E51
http://orcid.org/0000-0002-2763-1916
0000-0002-2763-1916
Power, Deborah
Power, Deborah
https://www.ciencia-id.pt/891A-8A44-3CAE
891A-8A44-3CAE
http://orcid.org/0000-0003-1366-0246
0000-0003-1366-0246
Marques, N T.
Marques, N T.
https://www.ciencia-id.pt/1510-CD2F-81CE
1510-CD2F-81CE
http://orcid.org/0000-0002-0222-621X
0000-0002-0222-621X
publishDate 2017
publisher.none.fl_str_mv Elsevier
reponame_str Sapientia - Universidade do Algarve
repository_id_str urn:repositoryAcronym:sapientia
service_str_mv urn:repositoryAcronym:sapientia
spelling engElsevierpt_PTCitrus 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 ‘Fina’ and 8 Citrus sinensis (L.) Osbeck ‘Valencia Late’) 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.application/pdfpt_PTIdentification of asymptomatic plants infected with Citrus tristeza virus from a time series of leaf spectral characteristicsPersonalAfonso, AndreiaDSpacehttp://dspace.org/items/14a734d1-dcb4-4dde-b24d-76f244e55fedDSpacehttp://dspace.org/items/14a734d1-dcb4-4dde-b24d-76f244e55fedAfonsoAndreiaCiência IDhttps://www.ciencia-id.ptBB11-9B39-F095ORCIDhttp://orcid.org0000-0003-4906-0082PersonalGuerra, Rui Manuel Farinha das NevesDSpacehttp://dspace.org/items/eff7071e-e676-465b-bae3-983f522acd98DSpacehttp://dspace.org/items/eff7071e-e676-465b-bae3-983f522acd98GuerraRuiCiência IDhttps://www.ciencia-id.pt3D16-5067-D6BBORCIDhttp://orcid.org0000-0002-8642-5792PersonalCavaco, A. M.DSpacehttp://dspace.org/items/18ad736f-b1f3-4a19-9636-e7a80248cf94DSpacehttp://dspace.org/items/18ad736f-b1f3-4a19-9636-e7a80248cf94Cavaco GuerraAna MargaridaCiência IDhttps://www.ciencia-id.ptC91E-B434-E327ORCIDhttp://orcid.org0000-0003-2708-5991Scopus Author IDhttps://www.scopus.com6602899707PersonalPinto, Patricia ISDSpacehttp://dspace.org/items/64bc526e-5281-44e5-91eb-5743436109f9DSpacehttp://dspace.org/items/64bc526e-5281-44e5-91eb-5743436109f9PintoPatricia ISCiência IDhttps://www.ciencia-id.ptE51D-5CCB-B1C6ORCIDhttp://orcid.org0000-0001-7854-3898Researcher IDhttps://www.researcherid.comM-3817-2013Scopus Author IDhttps://www.scopus.com10240774300PersonalAndrade, AndréDSpacehttp://dspace.org/items/44cc56db-1879-412b-86eb-8ce5465a427aDSpacehttp://dspace.org/items/44cc56db-1879-412b-86eb-8ce5465a427aAlçada Baptista Rebelo de AndradeAndréCiência IDhttps://www.ciencia-id.ptF513-56ED-7088ORCIDhttp://orcid.org0000-0002-5900-8782PersonalDuarte, AmílcarDSpacehttp://dspace.org/items/88280e66-023a-49f6-8081-c827a15900ceDSpacehttp://dspace.org/items/88280e66-023a-49f6-8081-c827a15900ceDuarteAmilcarCiência IDhttps://www.ciencia-id.pt081B-5FD8-0E51ORCIDhttp://orcid.org0000-0002-2763-1916Researcher IDhttps://www.researcherid.comF-1472-2010Scopus Author IDhttps://www.scopus.com7102602102PersonalPower, DeborahDSpacehttp://dspace.org/items/c68f5ffb-63f6-4c70-8957-29e464fb59c0DSpacehttp://dspace.org/items/c68f5ffb-63f6-4c70-8957-29e464fb59c0PowerDeborah MaryCiência IDhttps://www.ciencia-id.pt891A-8A44-3CAEORCIDhttp://orcid.org0000-0003-1366-0246Scopus Author IDhttps://www.scopus.com7101806760PersonalMarques, N T.DSpacehttp://dspace.org/items/4b1751aa-958b-4d68-ae97-ea628673ba00DSpacehttp://dspace.org/items/4b1751aa-958b-4d68-ae97-ea628673ba00Tomás MarquesNatáliaCiência IDhttps://www.ciencia-id.pt1510-CD2F-81CEORCIDhttp://orcid.org0000-0002-0222-621XHostingInstitutionOrganizationalSapientiae-mailmailto:repositorio@ualg.ptrepositorio@ualg.ptISSNIsPartOf0168-1699URNIsPartOfAUT: RGU01166; ACA01304; ADU00268; DPO00386; NMA00640;DOIIsPartOfhttp://dx.doi.org/10.1016/j.compag.2017.08.0012017-09-14T10:18:56Z20172017-01-01T00:00:00ZHandlehttp://hdl.handle.net/10400.1/9939http://purl.org/coar/access_right/c_16ecrestricted accessSpectroscopyN-way PCACTVClosterovirusCitrus sinensisCitrus clementina2997329 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_16ecapplication/pdffulltexthttps://sapientia.ualg.pt/bitstreams/0729a353-6960-4588-b89b-35425cdcd432/downloadComputers and Electronics in Agriculture141340350
spellingShingle Identification of asymptomatic plants infected with Citrus tristeza virus from a time series of leaf spectral characteristics
Afonso, Andreia
Spectroscopy
N-way PCA
CTV
Closterovirus
Citrus sinensis
Citrus clementina
status SINGLETON
subject.fl_str_mv Spectroscopy
N-way PCA
CTV
Closterovirus
Citrus sinensis
Citrus clementina
title Identification of asymptomatic plants infected with Citrus tristeza virus from a time series of leaf spectral characteristics
title_full Identification of asymptomatic plants infected with Citrus tristeza virus from a time series of leaf spectral characteristics
title_fullStr Identification of asymptomatic plants infected with Citrus tristeza virus from a time series of leaf spectral characteristics
title_full_unstemmed Identification of asymptomatic plants infected with Citrus tristeza virus from a time series of leaf spectral characteristics
title_short Identification of asymptomatic plants infected with Citrus tristeza virus from a time series of leaf spectral characteristics
title_sort Identification of asymptomatic plants infected with Citrus tristeza virus from a time series of leaf spectral characteristics
topic Spectroscopy
N-way PCA
CTV
Closterovirus
Citrus sinensis
Citrus clementina
topic_facet Spectroscopy
N-way PCA
CTV
Closterovirus
Citrus sinensis
Citrus clementina
url http://hdl.handle.net/10400.1/9939
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