Fluorescence images combined to statistic test for fingerprinting of citrus plants after bacterial infection.

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.

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Main Authors: PEREIRA, F. M. V., MILORI, D. M. B. P., PEREIRA-FILHO, E. R., VENÂNCIO, A. L., RUSSO, M. de S. T., MARTINS, P. K., FREITAS-ASTUA, J.
Other Authors: Fabíola 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.
Format: Separatas biblioteca
Language:English
eng
Published: 2011-03-24
Subjects:Plant disease, Huanglongbing., Bactéria, Greening., Candidatus Liberibacter.,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/882766
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spelling dig-alice-doc-8827662017-08-15T22:16:55Z Fluorescence images combined to statistic test for fingerprinting of citrus plants after bacterial infection. PEREIRA, F. M. V. MILORI, D. M. B. P. PEREIRA-FILHO, E. R. VENÂNCIO, A. L. RUSSO, M. de S. T. MARTINS, P. K. FREITAS-ASTUA, J. Fabíola 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. Plant disease Huanglongbing. Bactéria Greening. Candidatus Liberibacter. 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. View Online. 2011-04-10T11:11:11Z 2011-04-10T11:11:11Z 2011-03-24 2011 2012-03-29T11:11:11Z Separatas Analytical Methods, Cambridge, v. 3, p. 552-556, 2011. http://www.alice.cnptia.embrapa.br/alice/handle/doc/882766 10.1039/c0ay00538j en eng openAccess
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language English
eng
topic Plant disease
Huanglongbing.
Bactéria
Greening.
Candidatus Liberibacter.
Plant disease
Huanglongbing.
Bactéria
Greening.
Candidatus Liberibacter.
spellingShingle Plant disease
Huanglongbing.
Bactéria
Greening.
Candidatus Liberibacter.
Plant disease
Huanglongbing.
Bactéria
Greening.
Candidatus Liberibacter.
PEREIRA, F. M. V.
MILORI, D. M. B. P.
PEREIRA-FILHO, E. R.
VENÂNCIO, A. L.
RUSSO, M. de S. T.
MARTINS, P. K.
FREITAS-ASTUA, J.
Fluorescence images combined to statistic test for fingerprinting of citrus plants after bacterial infection.
description 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.
author2 Fabíola 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.
author_facet Fabíola 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.
PEREIRA, F. M. V.
MILORI, D. M. B. P.
PEREIRA-FILHO, E. R.
VENÂNCIO, A. L.
RUSSO, M. de S. T.
MARTINS, P. K.
FREITAS-ASTUA, J.
format Separatas
topic_facet Plant disease
Huanglongbing.
Bactéria
Greening.
Candidatus Liberibacter.
author PEREIRA, F. M. V.
MILORI, D. M. B. P.
PEREIRA-FILHO, E. R.
VENÂNCIO, A. L.
RUSSO, M. de S. T.
MARTINS, P. K.
FREITAS-ASTUA, J.
author_sort PEREIRA, F. M. V.
title Fluorescence images combined to statistic test for fingerprinting of citrus plants after bacterial infection.
title_short Fluorescence images combined to statistic test for fingerprinting of citrus plants after bacterial infection.
title_full Fluorescence images combined to statistic test for fingerprinting of citrus plants after bacterial infection.
title_fullStr Fluorescence images combined to statistic test for fingerprinting of citrus plants after bacterial infection.
title_full_unstemmed Fluorescence images combined to statistic test for fingerprinting of citrus plants after bacterial infection.
title_sort fluorescence images combined to statistic test for fingerprinting of citrus plants after bacterial infection.
publishDate 2011-03-24
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/882766
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