| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Cerrados. |
|
Data corrente: |
23/07/2012 |
|
Data da última atualização: |
23/07/2012 |
|
Autoria: |
PAULA-MORAES, S. V. de. |
|
Afiliação: |
SILVANA VIEIRA DE PAULA MORAES, CPAC. |
|
Título: |
Ecology and integrated pest management of western bean cutworm Striacosta albicosta (Smith) (Lepidoptera: Noctuidae) in field crop. |
|
Ano de publicação: |
2012 |
|
Fonte/Imprenta: |
2012 |
|
Páginas: |
127 f. |
|
Idioma: |
Inglês |
|
Notas: |
Tese (Doctor of Philosophy) - Faculty of The Graduate College, University of Nebraska. Orientador: Thomas E. Hunt; Robert J Wright. |
|
Conteúdo: |
Western bean cutworm, Striacosta albicosta (Smith) (Lepidoptera: Noctuidae), is a native pest of dry beans (Phaseolus vulgaris L.) and corn (Zea mays L.), and historically distributed in the western United States. The insect's recent expansion eastward is documented since 1999. The species is univoltine, the adults typically emerge in the middle of July, lay eggs on corn leaves, and the larvae feed on different corn tissues. In the fourth instar, larvae start colonization of the ear where they feed on kernels. There is a narrow window for management and early detection of the pest in the field is essential. Larval feeding and dispersal of early larval instar studies of western bean cutworm are necessary to immprove the understanding about how feeding requirements affect larval survival and establishment on the corn plant. A refinement of economic injury levels (EIL) and economic thresholds (ET) are also required for management decision-making. Studies during 2008-2011, across three ecoregions of Nebraska, had the following objectives: (1) developing a binomial sequential sampling plans for egg masses, (2) determine the feeding behavior and dispersal of the early instars on corn, and (3) development of EILs and the ETs that incorporate the dynamics of corn price, management cost, and pest survival. The results from the present study demonstrated that the binomial sequential sampling plans developed significantly reduce the effort required for effective management of this pest, reducing sampling effort from 100 plants sampled to an average of 38 to 41 plants sampled per field. The results indicate low larval survival of this species and that the early instars of western bean cutworm are the critical stage for establishment in corn. A behavior of initial larval movement toward the tassel was observed. The overall mean yield loss one western bean cutworm larva per plant was 945.52 kg/ha (15.08 bu/acre), based on 74,100 plants/ha. The ETs are expressed in percentage of plants with at least one egg mass, incorporate larval survival that was observed across three locations in Nebraska. MenosWestern bean cutworm, Striacosta albicosta (Smith) (Lepidoptera: Noctuidae), is a native pest of dry beans (Phaseolus vulgaris L.) and corn (Zea mays L.), and historically distributed in the western United States. The insect's recent expansion eastward is documented since 1999. The species is univoltine, the adults typically emerge in the middle of July, lay eggs on corn leaves, and the larvae feed on different corn tissues. In the fourth instar, larvae start colonization of the ear where they feed on kernels. There is a narrow window for management and early detection of the pest in the field is essential. Larval feeding and dispersal of early larval instar studies of western bean cutworm are necessary to immprove the understanding about how feeding requirements affect larval survival and establishment on the corn plant. A refinement of economic injury levels (EIL) and economic thresholds (ET) are also required for management decision-making. Studies during 2008-2011, across three ecoregions of Nebraska, had the following objectives: (1) developing a binomial sequential sampling plans for egg masses, (2) determine the feeding behavior and dispersal of the early instars on corn, and (3) development of EILs and the ETs that incorporate the dynamics of corn price, management cost, and pest survival. The results from the present study demonstrated that the binomial sequential sampling plans developed significantly reduce the effort required for effective management of this pest... Mostrar Tudo |
|
Palavras-Chave: |
Striacosta albicosta. |
|
Thesagro: |
Agricultura; Entomologia; Praga. |
|
Thesaurus Nal: |
Lepidoptera. |
|
Categoria do assunto: |
-- |
|
Marc: |
LEADER 02782nam a2200193 a 4500
001 1928871
005 2012-07-23
008 2012 bl uuuu m 00u1 u #d
100 1 $aPAULA-MORAES, S. V. de
245 $aEcology and integrated pest management of western bean cutworm Striacosta albicosta (Smith) (Lepidoptera$bNoctuidae) in field crop.
260 $a2012$c2012
300 $a127 f.
500 $aTese (Doctor of Philosophy) - Faculty of The Graduate College, University of Nebraska. Orientador: Thomas E. Hunt; Robert J Wright.
520 $aWestern bean cutworm, Striacosta albicosta (Smith) (Lepidoptera: Noctuidae), is a native pest of dry beans (Phaseolus vulgaris L.) and corn (Zea mays L.), and historically distributed in the western United States. The insect's recent expansion eastward is documented since 1999. The species is univoltine, the adults typically emerge in the middle of July, lay eggs on corn leaves, and the larvae feed on different corn tissues. In the fourth instar, larvae start colonization of the ear where they feed on kernels. There is a narrow window for management and early detection of the pest in the field is essential. Larval feeding and dispersal of early larval instar studies of western bean cutworm are necessary to immprove the understanding about how feeding requirements affect larval survival and establishment on the corn plant. A refinement of economic injury levels (EIL) and economic thresholds (ET) are also required for management decision-making. Studies during 2008-2011, across three ecoregions of Nebraska, had the following objectives: (1) developing a binomial sequential sampling plans for egg masses, (2) determine the feeding behavior and dispersal of the early instars on corn, and (3) development of EILs and the ETs that incorporate the dynamics of corn price, management cost, and pest survival. The results from the present study demonstrated that the binomial sequential sampling plans developed significantly reduce the effort required for effective management of this pest, reducing sampling effort from 100 plants sampled to an average of 38 to 41 plants sampled per field. The results indicate low larval survival of this species and that the early instars of western bean cutworm are the critical stage for establishment in corn. A behavior of initial larval movement toward the tassel was observed. The overall mean yield loss one western bean cutworm larva per plant was 945.52 kg/ha (15.08 bu/acre), based on 74,100 plants/ha. The ETs are expressed in percentage of plants with at least one egg mass, incorporate larval survival that was observed across three locations in Nebraska.
650 $aLepidoptera
650 $aAgricultura
650 $aEntomologia
650 $aPraga
653 $aStriacosta albicosta
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Cerrados (CPAC) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Meio Ambiente; Embrapa Recursos Genéticos e Biotecnologia. |
|
Data corrente: |
11/02/2014 |
|
Data da última atualização: |
10/03/2023 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
C - 0 |
|
Autoria: |
ANDOW, D. A.; LOVEI, G. L.; ARPAIA, S.; WILSON, L.; FONTES, E. M. G.; HILBECK, A.; LANG, A.; TUAT, N. V.; PIRES, C. S. S.; SUJII, E. R.; ZWAHLEN, C.; BIRCH, A. N. E.; CAPALBO, D. M. F.; PRESCOTT, K.; OMOTO, C.; ZEILINGER, A. R. |
|
Afiliação: |
D. A. ANDOW, University of Minnesota; GABOR L. LOVEI, Aarhus University; SALVATORE ARPAIA, ENEA-Research Centre Trisaia; LEWIS WILSON, CSIRO Cotton Research; ELIANA MARIA GOUVEIA FONTES, CENARGEN; ANGELICA HILBECK, Swiss Federal Institute of Technology; ANDREAS LANG, University of Basel; NGUYEN VAN TUAT, Food Crops Research Institute; CARMEN SILVIA SOARES PIRES, CENARGEN; EDISON RYOITI SUJII, CENARGEN; CLAUDIA ZWAHLEN, University of Minnesota; A. N. E. BIRCH, Ecological Science Group; DEISE MARIA FONTANA CAPALBO, CNPMA; KRISTINA PRESCOTT, University of Minnesota; CELSO OMOTO, ESALQ-USP; ADAM R. ZEILINGER, University of Minnesota. |
|
Título: |
An ecologically-based method for selecting ecological indicators for assessing risks to biological diversity from genetically-engineered plants. |
|
Ano de publicação: |
2013 |
|
Fonte/Imprenta: |
Journal of Biosafety, v. 22, n. 3, p. 141-156, 2013. |
|
Idioma: |
Inglês |
|
Conteúdo: |
The environmental risks associated with genetically-engineered (GE) organisms have been controversial, and so have the models for the assessment of these risks. We propose an ecologically-based environmental risk assessment (ERA) model that follows the 1998 USEPA guidelines, focusing on potential adverse effects to biological diversity. The approach starts by (1) identifying the local environmental values so the ERA addresses specific concerns associated with local biological diversity. The model simplifies the indicator endpoint selection problem by (2) classifying biological diversity into ecological functional groups and selecting those that deliver the identified environmental values. (3) All of the species or ecosystem processes related to the selected functional groups are identified and (4) multi-criteria decision analysis (MCDA) is used to rank the indicator endpoint entities, which may be species or ecological processes. MCDA focuses on those species and processes that are critical for the identified ecological functions and are likely to be highly exposed to the GE organism. The highest ranked indicator entities are selected for the next step. (5) Relevant risk hypotheses are identified. Knowledge about the specific transgene and its possible environmental effects in other countries can be used to assist development of risk hypotheses. (6) The risk hypotheses are ranked using MCDA with criteria related to the severity of the potential risk. The model emphasizes transparent, expert-driven, ecologically-based decision-making and provides formal methods for completing a screening level-ERA that can focus ERA on the most significant concerns. The process requires substantial human input but the human capital is available in most countries and regions of the world. MenosThe environmental risks associated with genetically-engineered (GE) organisms have been controversial, and so have the models for the assessment of these risks. We propose an ecologically-based environmental risk assessment (ERA) model that follows the 1998 USEPA guidelines, focusing on potential adverse effects to biological diversity. The approach starts by (1) identifying the local environmental values so the ERA addresses specific concerns associated with local biological diversity. The model simplifies the indicator endpoint selection problem by (2) classifying biological diversity into ecological functional groups and selecting those that deliver the identified environmental values. (3) All of the species or ecosystem processes related to the selected functional groups are identified and (4) multi-criteria decision analysis (MCDA) is used to rank the indicator endpoint entities, which may be species or ecological processes. MCDA focuses on those species and processes that are critical for the identified ecological functions and are likely to be highly exposed to the GE organism. The highest ranked indicator entities are selected for the next step. (5) Relevant risk hypotheses are identified. Knowledge about the specific transgene and its possible environmental effects in other countries can be used to assist development of risk hypotheses. (6) The risk hypotheses are ranked using MCDA with criteria related to the severity of the potential risk. The model emphasizes tra... Mostrar Tudo |
|
Palavras-Chave: |
Environmental risk assessment; Genetically engineered organisms. |
|
Thesagro: |
Biodiversidade; Impacto ambiental; Planta transgênica. |
|
Thesaurus NAL: |
Biodiversity; ecosystem services; Risk assessment; Transgenic plants. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/97032/1/2013AP47.pdf
|
|
Marc: |
LEADER 03008naa a2200409 a 4500
001 1980027
005 2023-03-10
008 2013 bl uuuu u00u1 u #d
100 1 $aANDOW, D. A.
245 $aAn ecologically-based method for selecting ecological indicators for assessing risks to biological diversity from genetically-engineered plants.$h[electronic resource]
260 $c2013
520 $aThe environmental risks associated with genetically-engineered (GE) organisms have been controversial, and so have the models for the assessment of these risks. We propose an ecologically-based environmental risk assessment (ERA) model that follows the 1998 USEPA guidelines, focusing on potential adverse effects to biological diversity. The approach starts by (1) identifying the local environmental values so the ERA addresses specific concerns associated with local biological diversity. The model simplifies the indicator endpoint selection problem by (2) classifying biological diversity into ecological functional groups and selecting those that deliver the identified environmental values. (3) All of the species or ecosystem processes related to the selected functional groups are identified and (4) multi-criteria decision analysis (MCDA) is used to rank the indicator endpoint entities, which may be species or ecological processes. MCDA focuses on those species and processes that are critical for the identified ecological functions and are likely to be highly exposed to the GE organism. The highest ranked indicator entities are selected for the next step. (5) Relevant risk hypotheses are identified. Knowledge about the specific transgene and its possible environmental effects in other countries can be used to assist development of risk hypotheses. (6) The risk hypotheses are ranked using MCDA with criteria related to the severity of the potential risk. The model emphasizes transparent, expert-driven, ecologically-based decision-making and provides formal methods for completing a screening level-ERA that can focus ERA on the most significant concerns. The process requires substantial human input but the human capital is available in most countries and regions of the world.
650 $aBiodiversity
650 $aecosystem services
650 $aRisk assessment
650 $aTransgenic plants
650 $aBiodiversidade
650 $aImpacto ambiental
650 $aPlanta transgênica
653 $aEnvironmental risk assessment
653 $aGenetically engineered organisms
700 1 $aLOVEI, G. L.
700 1 $aARPAIA, S.
700 1 $aWILSON, L.
700 1 $aFONTES, E. M. G.
700 1 $aHILBECK, A.
700 1 $aLANG, A.
700 1 $aTUAT, N. V.
700 1 $aPIRES, C. S. S.
700 1 $aSUJII, E. R.
700 1 $aZWAHLEN, C.
700 1 $aBIRCH, A. N. E.
700 1 $aCAPALBO, D. M. F.
700 1 $aPRESCOTT, K.
700 1 $aOMOTO, C.
700 1 $aZEILINGER, A. R.
773 $tJournal of Biosafety$gv. 22, n. 3, p. 141-156, 2013.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Expressão de busca inválida. Verifique!!! |
|
|
