Sequential sampling of Euschistus heros (Heteroptera: Pentatomidae) in soybean

Detalhes bibliográficos
Autor(a) principal: Souza, Leandro Aparecido de [UNESP]
Data de Publicação: 2014
Outros Autores: Barbosa, José Carlos [UNESP], Jurca Grigolli, José Fernando [UNESP], Fraga, Diego Felisbino [UNESP], Moraes, Lilian Cristina [UNESP], Busoli, Antonio Carlos [UNESP]
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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spelling 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/openAccess2023-10-01T06:06:30Zoai:repositorio.unesp.br:11449/129996Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-10-01T06:06:30Repositório 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
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