Registro Completo
Biblioteca(s): |
Embrapa Café. |
Data corrente: |
15/02/2011 |
Data da última atualização: |
07/07/2011 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
Internacional - A |
Autoria: |
OLIVEIRA, A. C. S. de; MARTINS, S. G. F.; ZACARIAS, M. S. |
Afiliação: |
UFLA; UFLA; MAURICIO SERGIO ZACARIAS, SAPC. |
Título: |
Computer simulation of the coffee leaf miner using sexual Penna aging model. |
Ano de publicação: |
2008 |
Fonte/Imprenta: |
PHYSICA A, v.387, n.2-3, p.476-484, jan. 2008. |
Páginas: |
476-484 |
Idioma: |
Inglês |
Conteúdo: |
Forecast models based on climatic conditions are of great interest in Integrated Pest Management (IPM) programs. The success of these models depends, among other factors, on the knowledge of the temperature effect on the pests? population dynamics. In this direction, a computer simulation was made for the population dynamics of the coffee leaf miner, L. coffeella, at different temperatures, considering experimental data relative to the pest. The age structure was inserted into the dynamics through sexual Penna Model. The results obtained, such as life expectancy, growth rate and annual generations? number, in agreement to those in laboratory and field conditions, show that the simulation can be used as a forecast model for controlling L. coffeella. |
Palavras-Chave: |
Aging; Forecast model; Population dynamic. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/29372/1/Computer-simulation.pdf
|
Marc: |
LEADER 01313naa a2200193 a 4500 001 1880528 005 2011-07-07 008 2008 bl uuuu u00u1 u #d 100 1 $aOLIVEIRA, A. C. S. de 245 $aComputer simulation of the coffee leaf miner using sexual Penna aging model.$h[electronic resource] 260 $c2008 300 $a476-484 520 $aForecast models based on climatic conditions are of great interest in Integrated Pest Management (IPM) programs. The success of these models depends, among other factors, on the knowledge of the temperature effect on the pests? population dynamics. In this direction, a computer simulation was made for the population dynamics of the coffee leaf miner, L. coffeella, at different temperatures, considering experimental data relative to the pest. The age structure was inserted into the dynamics through sexual Penna Model. The results obtained, such as life expectancy, growth rate and annual generations? number, in agreement to those in laboratory and field conditions, show that the simulation can be used as a forecast model for controlling L. coffeella. 653 $aAging 653 $aForecast model 653 $aPopulation dynamic 700 1 $aMARTINS, S. G. F. 700 1 $aZACARIAS, M. S. 773 $tPHYSICA A$gv.387, n.2-3, p.476-484, jan. 2008.
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Registro original: |
Embrapa Café (CNPCa) |
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