Evaluation of Susceptibility of 'Pera' Sweet Orange Genotypes to Citrus Canker Under Field and Greenhouse Conditions

Gonçalves-Zuliani, Aline Maria Orbolato; Nunes, William Mário de Carvalho; Zanutto, Carlos Alexandre; Filho, J. C. Oliveira; Nocchi, Paula Thaís Requena

doi:10.17660/actahortic.2015.1065.62

Cited by 2 publications

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“…According to Gonçalves-Zuliani, Nunes, Zanutto, Filho, and Nocchi (2015), citrus canker caused by Xanthomonas citri subsp. citri (Xcc, Schaad et al, 2006) is an important disease in many citrusproducing regions of the world (Gottwald et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

“…In addition to direct yield loss, the lesions caused by citrus canker can preclude the marketing of fresh fruit. In Brazil, citrus canker has been studied by several authors including Carvalho et al (2015); Gonçalves-Zuliani et al (2015) and Braido et al (2015). The search for genotypes resistant to citrus canker is the most attractive way to control this disease as it has least environmental impact .…”

Section: Introductionmentioning

confidence: 99%

“…The search for genotypes resistant to citrus canker is the most attractive way to control this disease as it has least environmental impact . Gonçalves-Zuliani et al (2015) aimed to evaluate resistance to citrus canker in nine sweet orange genotypes of the variety 'Pera' grafted on Rangpur lime, sunki tangerine, Cleopatra mandarin and rustic Acta Scientiarum. Agronomy Maringá, v. 39, n. 1, p. 1-8, Jan.-Mar., 2017…”

Section: Introductionmentioning

confidence: 99%

“…In this case, the effect was estimated from the total count of leaves and diseased leaves; thus, the resulting data set had a high proportion of zeros, that is, the data were zeroinflated. For analysis, Gonçalves-Zuliani et al (2015) used a non-parametric statistic and later applied Tukey's HSD test, without taking into account the large proportion of zeros in the data or the correlation due to repeated measures. The conclusion was that grafted genotypes of sweet orange showed a range in the incidence of diseased leaves, with those scions on Rangpur lime rootstock being the most susceptible to the pathogen, possibly due to increased canopy vigor due to this rootstock.…”

Section: Introductionmentioning

confidence: 99%

“…We propose an alternative analysis to the report by Gonçalves-Zuliani et al (2015), considering an evaluation of genotype response due to the presence of correlations between the repeated observations and the large proportion of zeros in these data. The objective of this study was to apply an inflated regression model to describe the incidence of citrus canker on leaves of different genotypes of sweet orange, variety Pera, taking into account the different rootstocks and their effects on the susceptibility of the sweet orange genotypes to citrus canker.…”

Section: Introductionmentioning

confidence: 99%

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<b>Modeling the incidence of citrus canker in leaves of the sweet orange variety ‘Pera’

et al. 2017

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ABSTRACT. Citrus canker, caused by the bacterium Xanthomonas citri subsp. citri, is one of the most important diseases of citrus. The use of resistant genotypes plays an important role in the management and control of the disease and is the most environmentally sustainable approach to disease control. Citrus canker incidence was recorded in an experiment on nine genotypes of the sweet orange variety 'Pera' grafted on four rootstocks. The experiment was started in 2010 and the incidence of citrus canker on the leaves was recorded on a quarterly basis. The incidence data from the experiment were analyzed using a zero-inflated Beta regression model (RBIZ), which is the appropriate method to describe data with large numbers of zeros. Based on the residual analysis, the data fit the model well. The discrete component of the explanatory variable, rootstock, was not significant as a factor affecting the onset of disease, in contrast with the continuous component, genotype, which was significant in explaining the incidence of citrus canker.Keywords: zero-inflated Beta distribution, mixture models, inflated Beta regression model, modeling proportions.Modelagem da incidência de cancro cítrico em folhas de laranja doce variedade Pera RESUMO. O cancro cítrico, causado pela bactéria Xanthomonas citri subsp. citri é uma das doenças mais importantes da citricultura. A utilização de genótipos resistentes à doença assume um papel importante no manejo e controle do patógeno, sendo essa uma medida viável ao produtor e sustentável ao ambiente. O conjunto de dados utilizado neste trabalho consistiu das observações obtidas de um experimento em que foram empregados como material vegetal, nove genótipos de Laranja doce, variedade Pera enxertado em quatro diferentes porta-enxertos. Este experimento teve inicio em 2010 e foram realizadas avaliações trimestrais para determinar a incidência de cancro nas folhas das plantas. Para a análise dos observações resultantes desse experimento foi utilizado a regressão Beta inflacionada de zero (RBIZ), que é a metodologia adequada para descrever proporções com grandes quantidades de zeros. A partir da análise residual, pode-se perceber que os dados se apresentaram de maneira homogênea indicando um bom ajuste do modelo. Para o componente discreto a variável explicativa, porta enxerto, foi significativa para o não aparecimento da doença, em contraste com o componente contínuo, em que a variável genótipo mostrouse significativa para explicar a incidência de cancro cítrico.Palavras-chave: distribuição Beta inflacionada no ponto zero, modelo de mistura, modelo de regressão Beta inflacionado, modelagem de proporções.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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<b>Modeling the incidence of citrus canker in leaves of the sweet orange variety ‘Pera’

et al. 2017

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Photodynamic inactivation of the phytopathogenic bacterium Xanthomonas citri subsp. citri

Ndemueda

Pereira

Faustino

2020

Lett Appl Microbiol

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The present work intended to evaluate the applicability of photodynamic inactivation (PDI) of Xanthomonas citri subsp. citri with toluidine blue O (TBO), a commercial photosensitizer, as a strategy to control citrus canker. Assays were conducted with cell suspensions and biofilms, constructed either on polypropylene microtubes (in vitro assays) or on the surface of orange leaves (ex vivo assays), in the presence of TBO and under irradiation with artificial white light or natural sunlight. PDI assays using TBO alone caused a maximum 5·8 log10 reduction of X. citri viable cells in suspensions, and a much smaller inactivation (1·5 log10) in biofilms. However, concomitant use of KI potentiated the TBO photosensitization. Biofilms were inactivated down to the detection limit (>6 log10 reduction) with 5·0 µmol l−1 TBO + 10 mmol l−1 KI (in vitro) or 5·0 µmol l−1 TBO + 100 mmol l−1 KI (ex vivo) after artificial white light irradiation. Under natural sunlight, a reduction down to the detection limit of the Miles–Misra method was achieved with 50 µmol l−1 TBO and 100 mmol l−1 KI. PDI has potential to be applied in the control of citrus canker in field conditions although further studies are needed to show that there are no risks to plant physiology or fruit quality. Significance and Impact of the Study Xanthomonas citri subsp. citri is a major cause of disease in citrus orchards. Because of the low efficacy and high environmental toxicity of copper‐based treatments, there is growing interest on more sustainable phytosanitary approaches. Photodynamic inactivation (PDI) is being successfully used to control infectious agents and literature reports indicate that it is effective against some fungi and bacteria attacking fruit crops. The results of the present work open the perspective of using a low‐cost photosensitizer and sunlight, as energy source, to control of the causative agent of citrus canker.

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Evaluation of Susceptibility of 'Pera' Sweet Orange Genotypes to Citrus Canker Under Field and Greenhouse Conditions

Cited by 2 publications

References 0 publications

<b>Modeling the incidence of citrus canker in leaves of the sweet orange variety ‘Pera’

<b>Modeling the incidence of citrus canker in leaves of the sweet orange variety ‘Pera’

Photodynamic inactivation of the phytopathogenic bacterium Xanthomonas citri subsp. citri

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