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: | 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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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 |
_version_ |
1800222792390541312 |