Sequential sampling of Euschistus heros (Heteroptera: Pentatomidae) in soybean
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://www.scielo.br/scielo.php?pid=S0103-90162014000600004&script=sci_arttext http://hdl.handle.net/11449/129996 |
Resumo: | Integrated pest management programs for soybean (Glycine max (L.) Merrill) must be based on efficient sampling plans for estimating the pest population. Based on the spatial distribution of the Neotropical brown stink bug Euschistus heros (Fabricius, 1794) found on soybean, it was possible to construct a sequential sampling plan for the survey of this insect found on soybean. The experiment was carried out during two growing seasons, 2010/2011 and 2011/2012, using the transgenic soybean cultivar M 7908 RR, in plots of 10,000 m(2) subdivided into 100 plots of 100 m(2) (10 m x 10 m). Nymphs > 0.5 cm (4th and 5th instars) plus adults were counted weekly from five drop cloth technique samplings per plot. To evaluate insect dispersion in the area, the following indices were used: variance/mean ratio, Morisita's index, Green's coefficient, the k exponent of the negative binomial distribution, and estimation of the common exponent k (kc). To study probabilistic models to describe the spatial distribution of the insects, adjustments of the Poisson and negative binomial distributions were tested. Two sequential sampling plans for separate fields, one for grain production and the other for seed production, were prepared. The data fitted a negative binomial distribution and a sampling plan was drawn up using the sequential likelihood ratio test (SLRT). The maximum sampling unit number expected for control-related decision making was six in grain production fields, and nine in seed production fields. |
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Sequential sampling of Euschistus heros (Heteroptera: Pentatomidae) in soybeanNeotropical brown stink bugSampling methodIntegrated pest management programs for soybean (Glycine max (L.) Merrill) must be based on efficient sampling plans for estimating the pest population. Based on the spatial distribution of the Neotropical brown stink bug Euschistus heros (Fabricius, 1794) found on soybean, it was possible to construct a sequential sampling plan for the survey of this insect found on soybean. The experiment was carried out during two growing seasons, 2010/2011 and 2011/2012, using the transgenic soybean cultivar M 7908 RR, in plots of 10,000 m(2) subdivided into 100 plots of 100 m(2) (10 m x 10 m). Nymphs > 0.5 cm (4th and 5th instars) plus adults were counted weekly from five drop cloth technique samplings per plot. To evaluate insect dispersion in the area, the following indices were used: variance/mean ratio, Morisita's index, Green's coefficient, the k exponent of the negative binomial distribution, and estimation of the common exponent k (kc). To study probabilistic models to describe the spatial distribution of the insects, adjustments of the Poisson and negative binomial distributions were tested. Two sequential sampling plans for separate fields, one for grain production and the other for seed production, were prepared. The data fitted a negative binomial distribution and a sampling plan was drawn up using the sequential likelihood ratio test (SLRT). The maximum sampling unit number expected for control-related decision making was six in grain production fields, and nine in seed production fields.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)São Paulo State University/FCAV - Dept. of Phytosanitary, Via de Acesso Prof. Paulo Donato Castellane s/n - 14884-900 - Jaboticabal, SP - BrazilSão Paulo State University/FCAV - Dept. of Exact Science.São Paulo State University/FCAV - Dept. of Phytosanitary, Via de Acesso Prof. Paulo Donato Castellane s/n - 14884-900 - Jaboticabal, SP - BrazilSão Paulo State University/FCAV - Dept. of Exact Science.Univ Sao PaoloUniversidade Estadual Paulista (Unesp)Souza, Leandro Aparecido de [UNESP]Barbosa, José Carlos [UNESP]Jurca Grigolli, José Fernando [UNESP]Fraga, Diego Felisbino [UNESP]Moraes, Lilian Cristina [UNESP]Busoli, Antonio Carlos [UNESP]2015-11-03T15:28:29Z2015-11-03T15:28:29Z2014-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article464-471application/pdfhttp://www.scielo.br/scielo.php?pid=S0103-90162014000600004&script=sci_arttextScientia Agricola. Cerquera Cesar: Univ Sao Paolo, v. 71, n. 6, p. 464-471, 2014.0103-9016http://hdl.handle.net/11449/12999610.1590/0103-9016-2013-0314S0103-90162014000600004WOS:000346395100004S0103-90162014000600004.pdf3227480960689273Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengScientia Agricola0,578info:eu-repo/semantics/openAccess2024-06-06T15:49:37Zoai:repositorio.unesp.br:11449/129996Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-06-06T15:49:37Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Sequential sampling of Euschistus heros (Heteroptera: Pentatomidae) in soybean |
title |
Sequential sampling of Euschistus heros (Heteroptera: Pentatomidae) in soybean |
spellingShingle |
Sequential sampling of Euschistus heros (Heteroptera: Pentatomidae) in soybean Souza, Leandro Aparecido de [UNESP] Neotropical brown stink bug Sampling method |
title_short |
Sequential sampling of Euschistus heros (Heteroptera: Pentatomidae) in soybean |
title_full |
Sequential sampling of Euschistus heros (Heteroptera: Pentatomidae) in soybean |
title_fullStr |
Sequential sampling of Euschistus heros (Heteroptera: Pentatomidae) in soybean |
title_full_unstemmed |
Sequential sampling of Euschistus heros (Heteroptera: Pentatomidae) in soybean |
title_sort |
Sequential sampling of Euschistus heros (Heteroptera: Pentatomidae) in soybean |
author |
Souza, Leandro Aparecido de [UNESP] |
author_facet |
Souza, Leandro Aparecido de [UNESP] Barbosa, José Carlos [UNESP] Jurca Grigolli, José Fernando [UNESP] Fraga, Diego Felisbino [UNESP] Moraes, Lilian Cristina [UNESP] Busoli, Antonio Carlos [UNESP] |
author_role |
author |
author2 |
Barbosa, José Carlos [UNESP] Jurca Grigolli, José Fernando [UNESP] Fraga, Diego Felisbino [UNESP] Moraes, Lilian Cristina [UNESP] Busoli, Antonio Carlos [UNESP] |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Souza, Leandro Aparecido de [UNESP] Barbosa, José Carlos [UNESP] Jurca Grigolli, José Fernando [UNESP] Fraga, Diego Felisbino [UNESP] Moraes, Lilian Cristina [UNESP] Busoli, Antonio Carlos [UNESP] |
dc.subject.por.fl_str_mv |
Neotropical brown stink bug Sampling method |
topic |
Neotropical brown stink bug Sampling method |
description |
Integrated pest management programs for soybean (Glycine max (L.) Merrill) must be based on efficient sampling plans for estimating the pest population. Based on the spatial distribution of the Neotropical brown stink bug Euschistus heros (Fabricius, 1794) found on soybean, it was possible to construct a sequential sampling plan for the survey of this insect found on soybean. The experiment was carried out during two growing seasons, 2010/2011 and 2011/2012, using the transgenic soybean cultivar M 7908 RR, in plots of 10,000 m(2) subdivided into 100 plots of 100 m(2) (10 m x 10 m). Nymphs > 0.5 cm (4th and 5th instars) plus adults were counted weekly from five drop cloth technique samplings per plot. To evaluate insect dispersion in the area, the following indices were used: variance/mean ratio, Morisita's index, Green's coefficient, the k exponent of the negative binomial distribution, and estimation of the common exponent k (kc). To study probabilistic models to describe the spatial distribution of the insects, adjustments of the Poisson and negative binomial distributions were tested. Two sequential sampling plans for separate fields, one for grain production and the other for seed production, were prepared. The data fitted a negative binomial distribution and a sampling plan was drawn up using the sequential likelihood ratio test (SLRT). The maximum sampling unit number expected for control-related decision making was six in grain production fields, and nine in seed production fields. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-11-01 2015-11-03T15:28:29Z 2015-11-03T15:28:29Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.scielo.br/scielo.php?pid=S0103-90162014000600004&script=sci_arttext Scientia Agricola. Cerquera Cesar: Univ Sao Paolo, v. 71, n. 6, p. 464-471, 2014. 0103-9016 http://hdl.handle.net/11449/129996 10.1590/0103-9016-2013-0314 S0103-90162014000600004 WOS:000346395100004 S0103-90162014000600004.pdf 3227480960689273 |
url |
http://www.scielo.br/scielo.php?pid=S0103-90162014000600004&script=sci_arttext http://hdl.handle.net/11449/129996 |
identifier_str_mv |
Scientia Agricola. Cerquera Cesar: Univ Sao Paolo, v. 71, n. 6, p. 464-471, 2014. 0103-9016 10.1590/0103-9016-2013-0314 S0103-90162014000600004 WOS:000346395100004 S0103-90162014000600004.pdf 3227480960689273 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Scientia Agricola 0,578 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
464-471 application/pdf |
dc.publisher.none.fl_str_mv |
Univ Sao Paolo |
publisher.none.fl_str_mv |
Univ Sao Paolo |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
repositoriounesp@unesp.br |
_version_ |
1826303463163691008 |