Navegando por Autor "Demétrio, Clarice Garcia Borges"

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Host colonization differences between citrus and coffee isolates of xylella fastidiosa in reciprocal inoculation
(Escola Superior de Agricultura "Luiz de Queiroz", 2008-05) Prado, Simone de Souza; Lopes, João Roberto Spotti; Demétrio, Clarice Garcia Borges; Borgatto, Adriano Ferreti; Almeida, Rodrigo Piacentini Paes de
Citrus variegated chlorosis (CVC) and coffee stem atrophy (CSA) are important diseases in Brazil associated with closely-related strains of Xylella fastidiosa, but little is know about host overlapping and importance of citrus and coffee as inoculum sources of these strains. In this study, reciprocal-inoculation experiments were performed to determine if CVC and CSA isolates are biologically similar within citrus and coffee plants. These two hosts were mechanically inoculated with a CVC and a CSA isolate of X. fastidiosa at four concentrations ranging between10 3 and 10 9 colony forming units CFU mL -1 . At two, four and eight months after inoculation, the infection efficiency and bacterial populations of the isolates in each host were determined by culturing. The CVC isolate infected both citrus and coffee plants, but developed lower populations in coffee. The CSA isolate did not colonize citrus. Inoculation of coffee plants with the CVC isolate resulted in low rates of infection and required an inoculum concentration ten-fold higher than that necessary to obtain a similar (25%) rate of infection in citrus. The relatively low infection rates and bacterial numbers of the CVC isolate in coffee plants compared with those observed in citrus suggest that coffee is not a suitable host to serve as a source of inoculum of the CVC strain for primary spread to citrus or within coffee plantations. Key words: citrus variegated chlorosis, coffee leaf scorch, inoculum concentration, bacterial population, epidemiology
Modelagem da distribuição espaço-temporal da broca do café (Hypothenemus hampei Ferrari) em uma cultura de região central colombiana
(Escola Superior de Agricultura “Luiz de Queiroz” - Universidade de São Paulo, 2002-04) Cárdenas, Ramiro Ruiz; Demétrio, Clarice Garcia Borges
O estudo da distribuição de pragas em espaço e tempo em sistemas agrícolas fornece informação importante sobre os mecanismos de dispersão das espécies e sua interação com fatores ambientais. Esse tipo de estudos também é de muita ajuda no desenvolvimento de planos de amostragem, na otimização de programas de manejo integrado de pragas e no planejamento de experimentos. O objetivo deste trabalho foi comparar vários modelos hierárquicos na modelagem da variação espaço- temporal da infestação da broca do café visando produzir mapas de risco da infestação que descrevam adequadamente o processo de infestação. Foram usadas diferentes combinações de efeitos aleatórios representando variabilidade não estruturada, com diferentes escolhas de distribuições a priori para os parâmetros e os hiperparâmetros dos modelos. Foram também usados diferentes esquemas de vizinhança para representar a correlação espacial dos dados. O ajuste dos modelos foi feito usando métodos MCMC. A estatística deviance e funções de perda quadrática foram usadas para a comparação entre modelos. Os resultados são apresentados como uma seqüência de mapas de risco de infestação.
Spatio-temporal modelling of coffee berry borer infestation patterns accounting for inflation of zeroes and missing values
(Escola Superior de Agricultura "Luiz de Queiroz", 2009-01) Cárdenas, Ramiro Ruiz; Assunçã, Renato Martins; Demétrio, Clarice Garcia Borges
The study of pest distributions in space and time in agricultural systems provides important information for the optimization of integrated pest management programs and for the planning of experiments. Two statistical problems commonly associated to the space-time modelling of data that hinder its implementation are the excess of zero counts and the presence of missing values due to the adopted sampling scheme. These problems are considered in the present article. Data of coffee berry borer infestation collected under Colombian field conditions are used to study the spatio-temporal evolution of the pest infestation. The dispersion of the pest starting from initial focuses of infestation was modelled considering linear and quadratic infestation growth trends as well as different combinations of random effects representing both spatially and not spatially structured variability. The analysis was accomplished under a hierarchical Bayesian approach. The missing values were dealt with by means of multiple imputation. Additionally, a mixture model was proposed to take into account the excess of zeroes in the beginning of the infestation. In general, quadratic models had a better fit than linear models. The use of spatially structured parameters also allowed a clearer identification of the temporal increase or decrease of infestation patterns. However, neither of the space-time models based on standard distributions was able to properly describe the excess of zero counts in the beginning of the infestation. This overdispersed pattern was correctly modelled by the mixture space-time models, which had a better performance than their counterpart without a mixture component.