Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/880528
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dc.contributor.authorOLIVEIRA, A. C. S. dept_BR
dc.contributor.authorMARTINS, S. G. F.pt_BR
dc.contributor.authorZACARIAS, M. S.pt_BR
dc.date.accessioned2011-04-10T11:11:11Zpt_BR
dc.date.available2011-04-10T11:11:11Zpt_BR
dc.date.created2011-03-11pt_BR
dc.date.issued2008pt_BR
dc.identifier.citationPHYSICA A, v.387, n.2-3, p.476-484, jan. 2008.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/880528pt_BR
dc.descriptionForecast 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.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectPopulation dynamicpt_BR
dc.subjectAgingpt_BR
dc.subjectForecast modelpt_BR
dc.titleComputer simulation of the coffee leaf miner using sexual Penna aging model.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2011-07-07T11:11:11Zpt_BR
dc.format.extent2476-484pt_BR
riaa.ainfo.id880528pt_BR
riaa.ainfo.lastupdate2011-07-07pt_BR
dc.contributor.institutionUFLA; UFLA; MAURICIO SERGIO ZACARIAS, SAPC.pt_BR
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