121 resultados para Chrysomya megacephala


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Chrysomya megacephala (Fabricius) é um díptero da família Calliphoridae, introduzido recentemente no Brasil, de forma acidental. Esta espécie possui grande importância médicosanitária por ser veiculadora de enteropatógenos como vírus, bactérias e helmintos; causar miíases facultativas; além de ser de fundamental importância na entomologia forense pelo fato de poder ser utilizada na estimativa do tempo de decomposição de cadáveres humanos, conhecido como intervalo pós-morte (IPM), ou na descoberta da causa da morte. Sabe-se que análises toxicológicas das larvas destes insetos podem detectar traços de substâncias lícitas ou não que se encontravam nos tecidos do cadáver, ingeridos antes da morte deste. Trabalhos recentes têm demonstrado que a presença de toxinas nos tecidos em decomposição pode alterar a taxa de desenvolvimento de insetos que utilizam-se destes como local de oviposição. Assim, testes preliminares utilizando dietas artificiais em laboratório são necessários para a criação de um banco de dados como padrão para investigar e quantificar as possíveis alterações no desenvolvimento de insetos coletados da cena criminal, para não gerar dados imprecisos sobre o IPM. No estágio larval, as moscas varejeiras competem ativamente por recursos alimentares. Nesse período, o substrato alimentar pode estar contaminado por substâncias químicas. O presente trabalho visa conhecer quais os possíveis efeitos da droga Citalopram, um antidepressivo que vem sendo utilizado em larga escala em casos de suicídio, sobre o tempo de desenvolvimento larval de C. megacephala até a pupação, frente a diferentes dosagens que serão utilizadas, além da obtenção de dados envolvendo porcentagem de emergência e razão social para os adultos emergidos, para cada um doss diferentes tratamentos

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A Entomologia Forense é um ramo de investigação científica que aplica o estudo de insetos e outros artrópodes a procedimentos legais e está se desenvolvendo e chamando bastante atenção nos últimos anos. Diversos estudos vêm sendo realizados nesta área para que os profissionais responsáveis possuam o maior número de informações possível sobre os insetos utilizados para estes fins, permitindo-lhes assim fazer melhores análises nos casos litigiosos envolvendo a descoberta da causa até a estimativa de tempo do intervalo pós-morte (I.P.M.) em um cadáver humano. Dentro deste ramo de estudo, a ordem Diptera apresenta certo destaque por apresentar diversos insetos com hábitos necrófagos, como por exemplo a família Calliphoridae, que se destaca pela grande distribuição e número de registros da presença de seus representantes nos tecidos de corpos animais no início da decomposição. A espécie Chrysomya megacephala (Fabricius), pertencente a esta família, tendo sido introduzida acidentalmente aqui no Brasil alguns anos atrás, possui uma importância médico-sanitária como veiculadora de patógenos, eventual causadora de miíases e, pelo fato de colocar seus ovos sobre tecidos de animais em decomposição, é uma importante espécie utilizada em estudos forenses. Baseando-se em trabalhos já realizados, sabe-se que a presença de determinadas substâncias químicas no substrato alimentar das larvas destas moscas pode alterar seu desenvolvimento, e sabendo quais seriam as mudanças provocadas por uma dessas substâncias, a análise do cadáver se tornaria mais completa e confiável durante a estimativa do I.P.M. A área responsável pelo estudo da interação entre substâncias químicas e os seus efeitos nos insetos é chamada de Entomotoxicologia, que também permite detectar traços de drogas lícitas ou não no trato digestivo de insetos necrófagos... (Resumo completo, clicar acesso eletrônico abaixo)

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A Entomologia Forense é a ciência que aplica o estudo dos insetos, dentre outros artrópodes, a procedimentos legais, estando subdividida em três sub-áreas principais: Entomologia Urbana, Entomologia de Produtos Estocados e Entomologia Médico-Legal ou Médico-Criminal. A fauna entomológica cadavérica no Brasil apresenta uma ampla diversidade de espécies que se sucedem na carcaça, pois o processo de decomposição oferece condições ideais principalmente ao desenvolvimento dos dípteros, dentre outros insetos. A sucessão ecológica em carcaças ocorre em ondas de colonização, também denominada de sucessão ecológica de colonização de carcaças. A primeira onda, que é a mais importante para o presente estudo, inclui principalmente as moscas-varejeiras; dentre elas, merece destaque a espécie Chrysomya megacephala (Fabricius), um díptero da família Calliphoridae, que utiliza a carcaça para oviposição ou para alimentação dos adultos. Dos ovos eclodem as larvas, que se alimentam dos tecidos em decomposição, se desenvolvem e empupam no solo, nos arredores do cadáver, sendo assim possível estimar, a partir de evidências entomológicas, o tempo decorrido desde a morte até a descoberta de cadáveres humanos, ou seja, o intervalo pós-morte ou IPM, além de permitir obter informações do local onde possivelmente o crime tenha ocorrido, causa da morte, entre outros aspectos. Alguns trabalhos têm demonstrado que vários fatores podem afetar a determinação do IPM, tornando a investigação criminal mais difícil e, quando não forem levados em consideração, conduzem a erros no cálculo do IPM. Dispersão larval pós-alimentar, competição, predação, parasitismo, condições ambientais, e a presença de toxinas/drogas no corpo devem ser analisados em conjunto, de modo que erros na estimativa do IPM sejam minimizados tanto quanto possível. Deste modo, testes preliminares utilizando dietas artificiais em laboratório são...

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Artificial neural networks (ANNs) have been widely applied to the resolution of complex biological problems. An important feature of neural models is that their implementation is not precluded by the theoretical distribution shape of the data used. Frequently, the performance of ANNs over linear or non-linear regression-based statistical methods is deemed to be significantly superior if suitable sample sizes are provided, especially in multidimensional and non-linear processes. The current work was aimed at utilising three well-known neural network methods in order to evaluate whether these models would be able to provide more accurate outcomes in relation to a conventional regression method in pupal weight predictions of Chrysomya megacephala, a species of blowfly (Diptera: Calliphoridae), using larval density (i.e. the initial number of larvae), amount of available food and pupal size as input data. It was possible to notice that the neural networks yielded more accurate performances in comparison with the statistical model (multiple regression). Assessing the three types of networks utilised (Multi-layer Perceptron, Radial Basis Function and Generalised Regression Neural Network), no considerable differences between these models were detected. The superiority of these neural models over a classical statistical method represents an important fact, because more accurate models may clarify several intricate aspects concerning the nutritional ecology of blowflies.

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Optimal foraging theory assumes that predators use different prey types to maximize their rate of energetic gain. Studies focusing on prey preference are important sources of information to understand the foraging dynamics of Chrysomya albiceps. The purpose of this investigation is to determine the influence of larval starvation in C. albiceps on the predation rate of different prey blowfly species and instars under laboratory conditions. Our results suggest that C. albiceps prefers Cochliomyia macellaria larvae to Chrysomya megacephala under non-starvation and starvation conditions. Nevertheless, predators gained more weight consuming C. macellaria. This result suggests that C. albiceps profit more in consuming C. macellaria rather than C. megacephala. The foraging behaviour displayed by C. abiceps on their prey and the consequences for the blowfly community are also discussed.

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The objective of this work was to evaluate some aspects of the populational ecology of Chrysomya megacephala, analyzing demographic aspects of adults kept under experimental conditions. Cages of C. megacephala adults were prepared with four different larval densities (100, 200, 400 and 800). For each cage, two tables were made: one with demographic parameters for the life expectancy estimate at the initial age (eo), and another with the reproductive rate and average reproduction age estimates. Populational parameters such as the intrinsic growth rate (i) and thefinite growth rate (lambda) were calculated as well.

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One way to understand the behavioural patterns exhibited by a predator in response to prey density is to evaluate its functional response. Such evaluation yields information about basic mechanisms of prey-predator dynamics, and is an essential component of prey-predator models. In this paper we analysed experimentally the functional response and the handling time spent by Chrysomya albiceps on different prey species and larval instars of blowflies. The type II functional response was observed when second instar larvae of Chrysomya megacephala and Chrysomya macellaria were consumed. The handling time spent by the predator was significantly different between instars and species. The implications of the functional response and handling time for the interaction dynamics of Brazilian Chrysomyinae species are discussed.

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Modem production systems accommodate broody hens in high densities, leading to the accumulation of excrement under the cages. This substrate is excellent for the development of sinantropic flies. Thus, the accomplishment of surveys in these places becomes essential, in order to plan better strategies of control. The present work aimed at studying the entornofauna and the seasonality of the species of dipterous present in the Crisdan poultry house located in the Municipality of Sao Joao da Boa Vista, the State of Sao Paulo, Brazil. In the period of January of 2001 to December of 2002, 1,012,595 flies were captured using the ""jug-trap"". The species were identified: Drosophi-la repleta (Wollaston, 1858), Musca domestica (Linnaeus, 1758), Ophyra spp., Hennetria illucens (Linnaeus, 1758), Fannia canicularis (Linnaeus, 1761), Chrysomya megacephala (Fabricius, 1794), and Sepsidae. More frequently D. repleta and M. domestica had added 99.47% of the dipterous. Increased rainfall and the collection months influenced the sampling of dipterous (P < 0.05). Drosophila repleta was the most abundant species, representing 91% of all captured flies. However, this diptera did not develop at the surveyed site since immatures were not captured therein.

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We study the reconstruction of visual stimuli from spike trains, representing the reconstructed stimulus by a Volterra series up to second order. We illustrate this procedure in a prominent example of spiking neurons, recording simultaneously from the two H1 neurons located in the lobula plate of the fly Chrysomya megacephala. The fly views two types of stimuli, corresponding to rotational and translational displacements. Second-order reconstructions require the manipulation of potentially very large matrices, which obstructs the use of this approach when there are many neurons. We avoid the computation and inversion of these matrices using a convenient set of basis functions to expand our variables in. This requires approximating the spike train four-point functions by combinations of two-point functions similar to relations, which would be true for gaussian stochastic processes. In our test case, this approximation does not reduce the quality of the reconstruction. The overall contribution to stimulus reconstruction of the second-order kernels, measured by the mean squared error, is only about 5% of the first-order contribution. Yet at specific stimulus-dependent instants, the addition of second-order kernels represents up to 100% improvement, but only for rotational stimuli. We present a perturbative scheme to facilitate the application of our method to weakly correlated neurons.

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Modem production systems accommodate broody hens in high densities, leading to the accumulation of excrement under the cages. This substrate is excellent for the development of sinantropic flies. Thus, the accomplishment of surveys in these places becomes essential, in order to plan better strategies of control. The present work aimed at studying the entornofauna and the seasonality of the species of dipterous present in the Crisdan poultry house located in the Municipality of Sao Joao da Boa Vista, the State of São Paulo, Brazil. In the period of January of 2001 to December of 2002, 1,012,595 flies were captured using the "jug-trap". The species were identified: Drosophi-la repleta (Wollaston, 1858), Musca domestica (Linnaeus, 1758), Ophyra spp., Hennetria illucens (Linnaeus, 1758), Fannia canicularis (Linnaeus, 1761), Chrysomya megacephala (Fabricius, 1794), and Sepsidae. More frequently D. repleta and M. domestica had added 99.47% of the dipterous. Increased rainfall and the collection months influenced the sampling of dipterous (P < 0.05). Drosophila repleta was the most abundant species, representing 91% of all captured flies. However, this diptera did not develop at the surveyed site since immatures were not captured therein.

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The influence of food abundance, larval density and interspecific interactions on the survival and body size of Chrysomya albiceps, Chrysomya megacephala and Cochliomyia macellaria was investigated in pure and mixed cultures, to determine the impact of competition and/or facultative predation on native and introduced blowfly species in South America. In mixed cultures there was complete elimination of C. megacephala and C. macellaria. Chrysomya albiceps exhibited higher survival in mixed compared to pure cultures, suggesting that predation offers more advantages than competition for food. Body size of C. albiceps was significantly affected by food scarcity in pure cultures. However, tibia size in males of all species suffered no significant variation as a function of food scarcity. The implications of these results for population dynamics of introduced and native blowfly species are discussed.

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In this study we explored the stochastic population dynamics of three exotic blowfly species, Chrysomya albiceps, Chrysomya megacephala and Chrysomya putoria, and two native species, Cochliomyia macellaria and Lucilia eximia, by combining a density-dependent growth model with a two-patch metapopulation model. Stochastic fecundity, survival and migration were investigated by permitting random variations between predetermined demographic boundary values based on experimental data. Lucilia eximia and Chrysomya albiceps were the species most susceptible to the risk of local extinction. Cochliomyia macellaria, C. megacephala and C. putoria exhibited lower risks of extinction when compared to the other species. The simultaneous analysis of stochastic fecundity and survival revealed an increase in the extinction risk for all species. When stochastic fecundity, survival and migration were simulated together, the coupled populations were synchronized in the five species. These results are discussed, emphasizing biological invasion and interspecific interaction dynamics.

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The equilibrium dynamics of native and introduced blowflies is modelled using a density-dependent model of population growth that takes into account important features of the life-history in these flies. A theoretical analysis indicates that the product of maximum fecundity and survival is the primary determinant of the dynamics. Cochliomyia macellaria, a blowfly native to the Americas and the introduced Chrysomya megacephala and Chrysomya putoria, differ in their dynamics in that the first species shows a damping oscillatory behavior leading to a one-point equilibrium, whereas in the last two species population numbers show a two-point limit cycle. Simulations showed that variation in fecundity has a marked effect on the dynamics and indicates the possibility of transitions from one-point equilibrium to bounded oscillations and aperiodic behavior. Variation in survival has much less influence on the dynamics.