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| 2. |  | HASHIMTO, V.; KAWANISHI, K.; TOMITA, H.; MORIYASU, M.; UHARA, Y.; KATO, A. Enfleurage chromatography: a new technique for indentifying volatile components in a small anormal of samples from natural occurrence. Analytical letters, v.16, n.A4, p.317-322, 1983.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 3. | | RODRIGUES, I. A.; ALVES, S. de M.; ROCHA NETO, O. G. da; SANTIAGO, E. J. A. de; CARVALHO, J. E. U. de; POLTRONIERI, L. S.; CALDAS, C. das G.; MORAES, M. D. de; KAMAKURA, H.; SHIROTA, O.; IZUMI, H.; WATANABE, T.; KAWAGUCHI, K.; TAKANO, A.; YOSHIDA, A.; KAWANISHI, K. Coleta, propagação e avaliação de plantas medicinais da Amazônia. In: EMBRAPA. Centro de Pesquisa Agroflorestal da Amazônia Oriental. Geração de tecnologia agroindustrial para o desenvolvimento do trópico úmido: relatório técnico do projeto. Belém: Embrapa Amazônia Oriental: JICA, 1998. p. 343-411. il. (Embrapa Amazônia Oriental. Documentos, 102).| Biblioteca(s): Embrapa Amazônia Oriental. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
24/02/2017 |
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Data da última atualização: |
20/06/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
ARISTIZÁBAL, L. F.; MASCARIN, G. M.; CHERRY, R.; CHAVES-CORDOBA, B.; ARTHURS, S. P. |
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Afiliação: |
LUIS F. ARISTIZÁBAL, UNIVERSITY OF FLORIDA; GABRIEL MOURA MASCARIN, CNPAF; RON CHERRY, UNIVERSITY OF FLORIDA; BERNARDO CHAVES-CORDOBA, WASHINGTON STATE UNIVERSITY; STEVEN P. ARTHURS, UNIVERSITY OF FLORIDA. |
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Título: |
A rapid sampling plan for Scirtothrips dorsalis (Thysanoptera: Thripidae) on container Shrub Rose (Rosa 'Radrazz'). |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Journal of Economic Entomology, v. 109, n. 6, p. 2543-2550, Dec. 2016. |
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DOI: |
10.1093/jee/tow231 |
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Idioma: |
Inglês |
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Conteúdo: |
The development of simple and reliable pest sampling programs is needed for growers to adopt economic or aesthetic injury levels. We developed a sampling plan for monitoring chilli thrips Scirtothrips dorsalis Hood populations on KnockOut shrub roses under simulated nursery conditions. The distribution of S. dorsalis among different plant structures revealed that most adults and larvae are found on foliar terminals, when compared with buds and flowers. Based on thrips distribution, the third leaf of actively growing terminals was used to determine a sequential sampling model. Thrips had an aggregated distribution, based on Taylor's power law and Iwao's mean crowding index, with both models showing a good fit (i.e., R2 of -0.8 and - 0.9, respectively). Based on these model parameters, the number of samples required to estimate populations with a 10% precision was??30 leaves according to Green's and Kuno's enumerative sequential sampling plans. A binomial model also estimated the proportion of infested leaf terminals as a function of insect density with an R2 value of 0.85. An additional study demonstrated that correlation between visual damage to the third leaf terminal and initial thrips populations was modeled by simple power functions. This finding suggests that a more rapid visual sampling of plant damage can be used to indirectly estimate S. dorsalis populations. Our sampling plan provides a tool to monitor S. dorsalis populations that could be used to help make management decisions for this pest in commercial nurseries. MenosThe development of simple and reliable pest sampling programs is needed for growers to adopt economic or aesthetic injury levels. We developed a sampling plan for monitoring chilli thrips Scirtothrips dorsalis Hood populations on KnockOut shrub roses under simulated nursery conditions. The distribution of S. dorsalis among different plant structures revealed that most adults and larvae are found on foliar terminals, when compared with buds and flowers. Based on thrips distribution, the third leaf of actively growing terminals was used to determine a sequential sampling model. Thrips had an aggregated distribution, based on Taylor's power law and Iwao's mean crowding index, with both models showing a good fit (i.e., R2 of -0.8 and - 0.9, respectively). Based on these model parameters, the number of samples required to estimate populations with a 10% precision was??30 leaves according to Green's and Kuno's enumerative sequential sampling plans. A binomial model also estimated the proportion of infested leaf terminals as a function of insect density with an R2 value of 0.85. An additional study demonstrated that correlation between visual damage to the third leaf terminal and initial thrips populations was modeled by simple power functions. This finding suggests that a more rapid visual sampling of plant damage can be used to indirectly estimate S. dorsalis populations. Our sampling plan provides a tool to monitor S. dorsalis populations that could be used to help make manageme... Mostrar Tudo |
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Palavras-Chave: |
Shrub Rose; Visual damage. |
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Thesaurus NAL: |
Nursery crops; Scirtothrips dorsalis. |
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Categoria do assunto: |
O Insetos e Entomologia |
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Marc: |
LEADER 02278naa a2200229 a 4500
001 2065548
005 2017-06-20
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1093/jee/tow231$2DOI
100 1 $aARISTIZÁBAL, L. F.
245 $aA rapid sampling plan for Scirtothrips dorsalis (Thysanoptera$bThripidae) on container Shrub Rose (Rosa 'Radrazz').$h[electronic resource]
260 $c2016
520 $aThe development of simple and reliable pest sampling programs is needed for growers to adopt economic or aesthetic injury levels. We developed a sampling plan for monitoring chilli thrips Scirtothrips dorsalis Hood populations on KnockOut shrub roses under simulated nursery conditions. The distribution of S. dorsalis among different plant structures revealed that most adults and larvae are found on foliar terminals, when compared with buds and flowers. Based on thrips distribution, the third leaf of actively growing terminals was used to determine a sequential sampling model. Thrips had an aggregated distribution, based on Taylor's power law and Iwao's mean crowding index, with both models showing a good fit (i.e., R2 of -0.8 and - 0.9, respectively). Based on these model parameters, the number of samples required to estimate populations with a 10% precision was??30 leaves according to Green's and Kuno's enumerative sequential sampling plans. A binomial model also estimated the proportion of infested leaf terminals as a function of insect density with an R2 value of 0.85. An additional study demonstrated that correlation between visual damage to the third leaf terminal and initial thrips populations was modeled by simple power functions. This finding suggests that a more rapid visual sampling of plant damage can be used to indirectly estimate S. dorsalis populations. Our sampling plan provides a tool to monitor S. dorsalis populations that could be used to help make management decisions for this pest in commercial nurseries.
650 $aNursery crops
650 $aScirtothrips dorsalis
653 $aShrub Rose
653 $aVisual damage
700 1 $aMASCARIN, G. M.
700 1 $aCHERRY, R.
700 1 $aCHAVES-CORDOBA, B.
700 1 $aARTHURS, S. P.
773 $tJournal of Economic Entomology$gv. 109, n. 6, p. 2543-2550, Dec. 2016.
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