Data/hora: 01/06/2024 14:44:06

Biblioteca(s): 	Embrapa Instrumentação; Embrapa Mandioca e Fruticultura.	
Tipo da produção científica: 	Artigo em Periódico Indexado	
Circulação/Nível: 	B - 3	
Data corrente: 	24/03/2011	
Data da última atualização: 	29/01/2019	
Autoria: 	PEREIRA, F. M. V.; MILORI, D. M. B. P.; PEREIRA-FILHO, E. R.; VENANCIO, A. L.; RUSSO, M. de S. T.; MARTINS, P. K.; FREITAS-ASTUA, J.	
Afiliação: 	DEBORA MARCONDES BASTOS P MILORI, CNPDIA.	
Título: 	Fluorescence images combined to statistic test for fingerprinting of citrus plants after bacterial infection.	
Ano de publicação: 	2011	
Fonte/Imprenta: 	Analytical methods, [S. l.], v. 3, p. 552-556, 2011.	
DOI: 	10.1039/C0AY00538J	
Idioma: 	Inglês	
Conteúdo: 	The 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.	
Palavras-Chave: 	Citrus greening disease; Doença do greening citrus; Huanglongbing; Method of fluorescence images; Método de imagens de fluorescência; Plant disease; Statistical method.	
Thesagro: 	Bactéria; Greening; Método Estatístico.	
Thesaurus Nal: 	Candidatus Liberibacter.	
Categoria do assunto: 	--
X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Instrumentação (CNPDIA)	
Exemplares: 	CNPMF - (27592-1) - UPC - AP - DD - Publicação digital -  -  - DIS
CNPDIA - (13353-1) - UPC - AP - DD - PROCI-11.00030 -  - 2011.00030 - DIS