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| 1. |  | FONSECA, G. T.; CARNEIRO, A. V.; MARTINS, P. do C.; PINHA, L. C.; CARNEIRO, L. A. V. Custo de produção de leite: uma análise de curto e longo prazo. In: CONGRESSO DA SOCIEDADE BRASILEIRA DE ECONOMIA, ADMINISTRAÇÃO E SOCIOLOGIA RURAL, 51., 2013, Belém, PA. Novas fronteiras da agropecuária no Brasil e na Amazônia: desafios da sustentabilidade. Belém: Sociedade Brasileira de Economia, Administração e Sociologia Rural, 2013.| Biblioteca(s): Embrapa Gado de Leite. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Café. Para informações adicionais entre em contato com biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
19/10/2020 |
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Data da última atualização: |
19/10/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
OLIVEIRA, A. C. S. de; MARTINS, S. G. F.; ZACARIAS, M. S. |
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Afiliação: |
UNIVERSIDADE FEDERAL DE MATO GROSSO; UNIVERSIDADE FEDERAL DE LAVRAS; MAURICIO SERGIO ZACARIAS, CNPCa. |
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Título: |
An individual-based model for the interaction of the mite Tetranychus urticae (Koch, 1836) with its predator Neoseiulus californicus (McGregor, 1954) (Acari: Tetranychidae, Phytoseiidae). |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Ecological Modelling, v. 255, p. 11-20, OUT. 2013. |
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Idioma: |
Inglês |
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Conteúdo: |
Computational simulations were used to study the population dynamics of two mites: the prey Tetranychus urticae (Koch, 1836) with its predator Neoseiulus californicus (McGregor, 1954). We adapted the Penna model to describe biological characteristics of these mites based on published experimental data. The population dynamics of each species were first considered separately and then together. The simulations attempted to verify the effects of the initial age structure and the initial predator:prey ratio on the dynamics of the predator?prey interaction at various temperatures. The results indicate that the model is able to efficiently reproduce important features related to population dynamics, such as the intrinsic growth rate, sexual ratio and life expectancy, although the latter feature not differ between males and females. In all simulations, high consumption by the predator led to the extinction of the prey population, as expected. The inundative release of large numbers of predatory mites may not be a good method for the biological control of prey. |
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Thesagro: |
Controle Biológico; Evolução da População; Tetranychus Urticae. |
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Categoria do assunto: |
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Marc: |
LEADER 01741naa a2200181 a 4500
001 2125642
005 2020-10-19
008 2013 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, A. C. S. de
245 $aAn individual-based model for the interaction of the mite Tetranychus urticae (Koch, 1836) with its predator Neoseiulus californicus (McGregor, 1954) (Acari$bTetranychidae, Phytoseiidae).$h[electronic resource]
260 $c2013
520 $aComputational simulations were used to study the population dynamics of two mites: the prey Tetranychus urticae (Koch, 1836) with its predator Neoseiulus californicus (McGregor, 1954). We adapted the Penna model to describe biological characteristics of these mites based on published experimental data. The population dynamics of each species were first considered separately and then together. The simulations attempted to verify the effects of the initial age structure and the initial predator:prey ratio on the dynamics of the predator?prey interaction at various temperatures. The results indicate that the model is able to efficiently reproduce important features related to population dynamics, such as the intrinsic growth rate, sexual ratio and life expectancy, although the latter feature not differ between males and females. In all simulations, high consumption by the predator led to the extinction of the prey population, as expected. The inundative release of large numbers of predatory mites may not be a good method for the biological control of prey.
650 $aControle Biológico
650 $aEvolução da População
650 $aTetranychus Urticae
700 1 $aMARTINS, S. G. F.
700 1 $aZACARIAS, M. S.
773 $tEcological Modelling$gv. 255, p. 11-20, OUT. 2013.
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