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

Detalhes bibliográficos
Autor(a) principal: Souza, Leandro Aparecido de
Data de Publicação: 2014
Outros Autores: Barbosa, José Carlos, Grigolli, José Fernando Jurca, Fraga, Diego Felisbino, Moraes, Lílian Cristina, Busoli, Antonio Carlos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: https://www.revistas.usp.br/sa/article/view/100147
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 m² subdivided into 100 plots of 100 m² (10 m × 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 soybean 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 m² subdivided into 100 plots of 100 m² (10 m × 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. Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2014-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/10014710.1590/0103-9016-2013-0314Scientia Agricola; v. 71 n. 6 (2014); 464-471Scientia Agricola; Vol. 71 Núm. 6 (2014); 464-471Scientia Agricola; Vol. 71 No. 6 (2014); 464-4711678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/100147/98816Copyright (c) 2015 Scientia Agricolainfo:eu-repo/semantics/openAccessSouza, Leandro Aparecido deBarbosa, José CarlosGrigolli, José Fernando JurcaFraga, Diego FelisbinoMoraes, Lílian CristinaBusoli, Antonio Carlos2015-08-31T11:46:12Zoai:revistas.usp.br:article/100147Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2015-08-31T11:46:12Scientia Agrícola (Online) - Universidade de São Paulo (USP)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
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
author_facet Souza, Leandro Aparecido de
Barbosa, José Carlos
Grigolli, José Fernando Jurca
Fraga, Diego Felisbino
Moraes, Lílian Cristina
Busoli, Antonio Carlos
author_role author
author2 Barbosa, José Carlos
Grigolli, José Fernando Jurca
Fraga, Diego Felisbino
Moraes, Lílian Cristina
Busoli, Antonio Carlos
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Souza, Leandro Aparecido de
Barbosa, José Carlos
Grigolli, José Fernando Jurca
Fraga, Diego Felisbino
Moraes, Lílian Cristina
Busoli, Antonio Carlos
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 m² subdivided into 100 plots of 100 m² (10 m × 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 2014-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/sa/article/view/100147
10.1590/0103-9016-2013-0314
url https://www.revistas.usp.br/sa/article/view/100147
identifier_str_mv 10.1590/0103-9016-2013-0314
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/sa/article/view/100147/98816
dc.rights.driver.fl_str_mv Copyright (c) 2015 Scientia Agricola
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2015 Scientia Agricola
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
dc.source.none.fl_str_mv Scientia Agricola; v. 71 n. 6 (2014); 464-471
Scientia Agricola; Vol. 71 Núm. 6 (2014); 464-471
Scientia Agricola; Vol. 71 No. 6 (2014); 464-471
1678-992X
0103-9016
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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