Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/882766
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dc.contributor.authorPEREIRA, F. M. V.pt_BR
dc.contributor.authorMILORI, D. M. B. P.pt_BR
dc.contributor.authorPEREIRA-FILHO, E. R.pt_BR
dc.contributor.authorVENÂNCIO, A. L.pt_BR
dc.contributor.authorRUSSO, M. de S. T.pt_BR
dc.contributor.authorMARTINS, P. K.pt_BR
dc.contributor.authorFREITAS-ASTUA, J.pt_BR
dc.contributor.otherFabíola Manhas Verbi Pereira, CNPDIA; DEBORA MARCONDES BASTOS PEREIRA MILORI, CNPDIA; Edenir Rodrigues Pereira-Filho, UFSCar; André Leonardo Venâncio, USP; Mariana de Sá Tavares Russo, CNPDIA; Polyana Kelly Martins, APTA; JULIANA DE FREITAS ASTUA, CNPMF.pt_BR
dc.date.accessioned2011-04-10T11:11:11Zpt_BR
dc.date.available2011-04-10T11:11:11Zpt_BR
dc.date.created2011-03-24pt_BR
dc.date.issued2011pt_BR
dc.identifier.other27592pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/882766pt_BR
dc.descriptionThe citrus greening (or huanglongbing) disease has caused serious problems in citrus crops around the world. An early diagnostic method to detect this malady is needed due to the rapid dissemination of Candidatus Liberibacter asiaticus (CLas) in the field. This analytical study investigated the fluorescence responses of leaves from healthy citrus plants and those inoculated with CLas by images from a stereomicroscope and also evaluated their potential for the early diagnosis of the infection caused by this bacterium. The plants were measured monthly, and the evolution of the bacteria on inoculated plants was monitored by real-time quantitative polymerase chain reaction (RT-qPCR) amplication of CLas sequences. A statistical method was used to analyse the data. The selection of variables from histograms of colours (colourgrams) of the images was optimized using a paired Student 's t-test. The intensity of counts for green colours from images of fluorescence had clearly minor variations for healthy plants than diseased ones. The darker green colours were the indicators of healthy plants and the light colours for the diseased. The method of fluorescence images is novel for fingerprinting healthy and diseased plants and provides an alternative to the current method represented by PCR and visual inspection. A new, non-subjective pattern of analysis and a non-destructive method has been introduced that can minimize the time and costs of analyses.pt_BR
dc.description.uribitstream/item/37816/1/ASTUAiD27592.pdfpt_BR
dc.languageenpt_BR
dc.language.isoengeng
dc.publisherAnalytical Methods, Cambridge, v. 3, p. 552-556, 2011.pt_BR
dc.relation.ispartofEmbrapa Mandioca e Fruticultura - Artigo em periódico indexado (ALICE)pt_BR
dc.rightsopenAccesspt_BR
dc.subjectPlant diseasept_BR
dc.subjectHuanglongbing.pt_BR
dc.titleFluorescence images combined to statistic test for fingerprinting of citrus plants after bacterial infection.pt_BR
dc.typeArtigo em periódico indexado (ALICE)pt_BR
dc.date.updated2012-03-29T11:11:11Zpt_BR
dc.subject.thesagroBactériapt_BR
dc.subject.thesagroGreening.pt_BR
dc.subject.nalthesaurusCandidatus Liberibacter.pt_BR
dc.description.notesView Online.pt_BR
dc.ainfo.id882766pt_BR
dc.ainfo.lastupdate2012-03-29pt_BR
dc.identifier.doi10.1039/c0ay00538jpt_BR
Appears in Collections:Artigo em periódico indexado (CNPMF)

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