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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
25/09/2000 |
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Data da última atualização: |
09/03/2006 |
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Autoria: |
SUJII, E. R.; SOSA-GOMEZ, D.R.; CARVALHO, V. A. M. de; TIGANO, M. S. |
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Título: |
Integrated system to simulate the impact of the fungus nomuraea rileyi on Brazilian anticarsia gemmatalis populations. |
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Ano de publicação: |
2000 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONGRESS OF ENTOMOLOGY, 21., 2000, Foz do Iguassu. Abstracts... Londrina: Embrapa Soja, 2000. |
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Volume: |
v.1 |
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Páginas: |
p.543. |
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Idioma: |
Inglês |
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Conteúdo: |
The fungus Nomuraea rileyi is known as an important biological agent of Anticarsia gemmatalis (Lepidoptera: Noctuidae), a key soybean pest in Brazil. N. rileyi can prevent A. gemmatalis populations from reaching economic threshold levels in soybean, and consequently avoid the use of chemical insecticide applications against this pest. Little is known about the evolution of this disease on A. gemmatalis population dynamics. An integrated system of mathematical models has been developed, using the software "STELLA version 5.0 research", to simulate the pest population dynamics and the progress of the disease caused by N. rileyi. The system integrates a model of N. rileyilA. gemmatalis interactions, developed in Florida, USA, and a Brazilian model for A. gemmatalis dynamics. The precision of the system has been improved by the introduction of data related to infection and conidiation of N. rileyi on A. gemmatalis at Brazilian conditions. The input of climatic conditions, host population and soybean variety is required for simulations. The system generantes a curve of A. gemmatalis caterpillars population based on the estimation of N. rileyi conidial density and infection rates. The generated data compared to the field data shows that the system developed can mimicry the N. rileyi/A.gemmatalis interactions. However, further studies on environmental factors affecting migration rates of the insect, N. rileyi conidiogenesis dynamics and conidial survivorship, are still needed to improve the precision of the model for the use on A. gemmatalis management. MenosThe fungus Nomuraea rileyi is known as an important biological agent of Anticarsia gemmatalis (Lepidoptera: Noctuidae), a key soybean pest in Brazil. N. rileyi can prevent A. gemmatalis populations from reaching economic threshold levels in soybean, and consequently avoid the use of chemical insecticide applications against this pest. Little is known about the evolution of this disease on A. gemmatalis population dynamics. An integrated system of mathematical models has been developed, using the software "STELLA version 5.0 research", to simulate the pest population dynamics and the progress of the disease caused by N. rileyi. The system integrates a model of N. rileyilA. gemmatalis interactions, developed in Florida, USA, and a Brazilian model for A. gemmatalis dynamics. The precision of the system has been improved by the introduction of data related to infection and conidiation of N. rileyi on A. gemmatalis at Brazilian conditions. The input of climatic conditions, host population and soybean variety is required for simulations. The system generantes a curve of A. gemmatalis caterpillars population based on the estimation of N. rileyi conidial density and infection rates. The generated data compared to the field data shows that the system developed can mimicry the N. rileyi/A.gemmatalis interactions. However, further studies on environmental factors affecting migration rates of the insect, N. rileyi conidiogenesis dynamics and conidial survivorship, are still needed to im... Mostrar Tudo |
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Palavras-Chave: |
Brasil; Dinamica da populacao; Manejo de praga; Pest insects. |
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Thesagro: |
Controle Biológico; Inseto. |
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Thesaurus NAL: |
biological control; Brazil; Insecta; pest management; population dynamics. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02503naa a2200313 a 4500
001 1462258
005 2006-03-09
008 2000 bl uuuu u00u1 u #d
100 1 $aSUJII, E. R.
245 $aIntegrated system to simulate the impact of the fungus nomuraea rileyi on Brazilian anticarsia gemmatalis populations.
260 $c2000
300 $ap.543. v.1
490 $vv.1
520 $aThe fungus Nomuraea rileyi is known as an important biological agent of Anticarsia gemmatalis (Lepidoptera: Noctuidae), a key soybean pest in Brazil. N. rileyi can prevent A. gemmatalis populations from reaching economic threshold levels in soybean, and consequently avoid the use of chemical insecticide applications against this pest. Little is known about the evolution of this disease on A. gemmatalis population dynamics. An integrated system of mathematical models has been developed, using the software "STELLA version 5.0 research", to simulate the pest population dynamics and the progress of the disease caused by N. rileyi. The system integrates a model of N. rileyilA. gemmatalis interactions, developed in Florida, USA, and a Brazilian model for A. gemmatalis dynamics. The precision of the system has been improved by the introduction of data related to infection and conidiation of N. rileyi on A. gemmatalis at Brazilian conditions. The input of climatic conditions, host population and soybean variety is required for simulations. The system generantes a curve of A. gemmatalis caterpillars population based on the estimation of N. rileyi conidial density and infection rates. The generated data compared to the field data shows that the system developed can mimicry the N. rileyi/A.gemmatalis interactions. However, further studies on environmental factors affecting migration rates of the insect, N. rileyi conidiogenesis dynamics and conidial survivorship, are still needed to improve the precision of the model for the use on A. gemmatalis management.
650 $abiological control
650 $aBrazil
650 $aInsecta
650 $apest management
650 $apopulation dynamics
650 $aControle Biológico
650 $aInseto
653 $aBrasil
653 $aDinamica da populacao
653 $aManejo de praga
653 $aPest insects
700 1 $aSOSA-GOMEZ, D.R.
700 1 $aCARVALHO, V. A. M. de
700 1 $aTIGANO, M. S.
773 $tIn: INTERNATIONAL CONGRESS OF ENTOMOLOGY, 21., 2000, Foz do Iguassu. Abstracts... Londrina: Embrapa Soja, 2000.
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