Avaliação de surtos de mosca-branca em áreas do sistema produtivo de melão, soja e feijão.

2000

The role of exotic plants in the invasion of Seychelles by the polyphagous insect Aleurodicus disperses: a phylogenetically controlled analysis

The accidental introduction of the spiralling whitefly, Aleurodicus dispersus Russell (Homoptera: Aleyrodidae) to Seychelles in late 2003 is exploited during early 2005 to study interactions between A. dispersus, native and exotic host plants and their associated arthropod fauna. The numbers of A. dispersus egg spirals and pupae, predator and herbivore taxa were recorded for eight related native/exotic pairs of host plants found on Mahe, the largest island in Seychelles. Our data revealed no significant difference in herbivore density (excluding A. dispersus) between related native and exotic plants, which suggests that the exotic plants do not benefit from 'enemy release'. There were also no differences in predator density, or combined species richness between native and exotic plants. Together these data suggest that 'biotic resistance' to invasion is also unlikely. Despite the apparent lack of differences in community structure significantly fewer A. dispersus egg spirals and pupae were found on the native plants than on the exotic plants. Additional data on A. dispersus density were collected on Cousin Island, a managed nature reserve in which exotic plants are carefully controlled. Significantly higher densities of A. dispersus were observed on Mahe, where exotic plants are abundant, than on Cousin. These data suggest that the rapid invasion of Seychelles by A. dispersus may largely be due to the high proportion of plant species that are both exotic and hosts of A. dispersus; no support was found for either the 'enemy release' or the 'biotic resistance' hypotheses.

Tentativa de estabelecimento de uma criação de Aleurodicus pseudugesii Martin (Hemiptera: Aleyrodidae) para estudos com resistência de plantas.

2016

Hierarchical Bayesian models for estimating the extent of plant pest invasions

Plant biosecurity requires statistical tools to interpret field surveillance data in order to manage pest incursions that threaten crop production and trade. Ultimately, management decisions need to be based on the probability that an area is infested or free of a pest. Current informal approaches to delimiting pest extent rely upon expert ecological interpretation of presence / absence data over space and time. Hierarchical Bayesian models provide a cohesive statistical framework that can formally integrate the available information on both pest ecology and data. The overarching method involves constructing an observation model for the surveillance data, conditional on the hidden extent of the pest and uncertain detection sensitivity. The extent of the pest is then modelled as a dynamic invasion process that includes uncertainty in ecological parameters. Modelling approaches to assimilate this information are explored through case studies on spiralling whitefly, Aleurodicus dispersus and red banded mango caterpillar, Deanolis sublimbalis. Markov chain Monte Carlo simulation is used to estimate the probable extent of pests, given the observation and process model conditioned by surveillance data. Statistical methods, based on time-to-event models, are developed to apply hierarchical Bayesian models to early detection programs and to demonstrate area freedom from pests. The value of early detection surveillance programs is demonstrated through an application to interpret surveillance data for exotic plant pests with uncertain spread rates. The model suggests that typical early detection programs provide a moderate reduction in the probability of an area being infested but a dramatic reduction in the expected area of incursions at a given time. Estimates of spiralling whitefly extent are examined at local, district and state-wide scales. The local model estimates the rate of natural spread and the influence of host architecture, host suitability and inspector efficiency. These parameter estimates can support the development of robust surveillance programs. Hierarchical Bayesian models for the human-mediated spread of spiralling whitefly are developed for the colonisation of discrete cells connected by a modified gravity model. By estimating dispersal parameters, the model can be used to predict the extent of the pest over time. An extended model predicts the climate restricted distribution of the pest in Queensland. These novel human-mediated movement models are well suited to demonstrating area freedom at coarse spatio-temporal scales. At finer scales, and in the presence of ecological complexity, exploratory models are developed to investigate the capacity for surveillance information to estimate the extent of red banded mango caterpillar. It is apparent that excessive uncertainty about observation and ecological parameters can impose limits on inference at the scales required for effective management of response programs. The thesis contributes novel statistical approaches to estimating the extent of pests and develops applications to assist decision-making across a range of plant biosecurity surveillance activities. Hierarchical Bayesian modelling is demonstrated as both a useful analytical tool for estimating pest extent and a natural investigative paradigm for developing and focussing biosecurity programs.

Hierarchical Bayesian modelling of plant pest invasions with human-mediated dispersal

Hierarchical Bayesian models can assimilate surveillance and ecological information to estimate both invasion extent and model parameters for invading plant pests spread by people. A reliability analysis framework that can accommodate multiple dispersal modes is developed to estimate human-mediated dispersal parameters for an invasive species. Uncertainty in the observation process is modelled by accounting for local natural spread and population growth within spatial units. Broad scale incursion dynamics are based on a mechanistic gravity model with a Weibull distribution modification to incorporate a local pest build-up phase. The model uses Markov chain Monte Carlo simulations to infer the probability of colonisation times for discrete spatial units and to estimate connectivity parameters between these units. The hierarchical Bayesian model with observational and ecological components is applied to a surveillance dataset for a spiralling whitefly (Aleurodicus dispersus) invasion in Queensland, Australia. The model structure provides a useful application that draws on surveillance data and ecological knowledge that can be used to manage the risk of pest movement.

Ocorrência de Aleurothrixus aepim (Goeldi, 1886) (Hemiptera: Aleyrodidae) em Cruz das Almas, BA.

As moscas-brancas são pragas tanto de plantas ornamentais como de cultivos, sendo encontradas em quase todas as regiões onde se cultiva a mandioca. Nessa cultura, já foram identificadas as espécies Aleurotrachelus socialis, Aleurodicus dispersus, Aleurothrixus aepim, Aleuronudus sp., Bemisia tabaci, B. tuberculata, B. afer, Paraleyrodes sp., Trialeurodes abutilonea, T. variabilis e Tetraleurodes sp. Esses pequenos insetos são facilmente reconhecíveis, visto que em geral as populações dos adultos podem ser detectadas sacudindo os brotos das plantas para fazê-los voar, enquanto a fase jovem pode ser encontrada na face inferior das folhas basais e medianas.

O gênero microstrates lacordaire (Curculionidae : Baridinae): sistemática, filogenia e evolução da associação com palmeiras hospedeiras

A revisão e análise filogenética do gênero Microstrates são apresentadas com base em caracteres descobertos durante o estudo e naqueles já utilizados na literatura. Foram reconhecidas onze espécies, que podem ser identificadas pela chave apresentada. Duas espécies novas são descritas: Microstrates almiri, sp. n., Caxiuanã, PA e M. piririma sp. n., Monte Alegre, PA. Microstrates bipunctatus Hustache, 1951 é considerada sinônimo de M. cocois Bondar, 1941. O estudo das relações filogenéticas das espécies de Microstrates resultou na seguinte hipótese, expressa parenteticamente como: ((m. cocoscampestris (M. abbreviatus (M. rufus, M. cucullus, M. bondari)))). Pela primeira vez são apresentadas as palmeiras hospedeiras de M.almiri sp. n., M. piririma sp. n. e M. rufus Hustache, 1951. As espécies M. almiri sp. n. e M. piririma sp. n., coletadas no estado do Pará, representam o primeiro registro do gênero para a região Amazônica. Todas as espécies são redescritas e as estruturas mais importantes para a identificação estão ilustradas. A coleta de curculionídeos em diferentes espécies de palmeiras nos estados do Pará e amazonas corroborou a hipótese de associação exclusiva de Microstrates com as palmeiras dos gêneros syagrus, Butia e Cocos, e que cada espécie de Syagrus e Butia hospeda apenas uma única espécie de Microstrates. A sobreposição e otimização (Farris, 1970) dos gêneros de palmeiras hospedeiras sobre o cladograma de Microstrates mostra a seguinte hipótese: a associação com o gênero Syagrus é plesiomórfica, com o gênero Butia é apomórfica e com o coqueiro (cocos nucifera) é devida a eventos de colonização.

Ocorrência de mosca-branca em Annona squamosa no estado de São Paulo

In Brazil the knowledge about the geographical distribution and host plants of whiteflies (Hemiptera: Aleyrodidae) is limited, mainly on crops. In this communication, the occurrence of Aleurodicus mirabilis (Cockerell, 1898) in high infestations in custard apple (Annona squamosa Linnaeus, 1753) is recorded in the state of São Paulo, Brazil.