Model selection and averaging in the estimation of population parameters of Bemisia tabaci (Gennadius) from stage frequency data in sweet pepper plants

Bemisia tabaci is a significant pest for many crops, but there are few population studies of this insect on sweet pepper ( Capsicum annuum). In this study, stage frequency data were generated with B. tabaci in sweet pepper plants in various situations, and the Bellows and Birley method was used to o...

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Detalhes bibliográficos
Autores: González Zamora, José Enrique, Moreno, R.
Tipo de documento: artigo
Estado:Versión aceptada para publicación
Data de publicação:2011
País:España
Recursos:Universidad de Sevilla (US)
Repositório:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/29487
Acesso em linha:http://hdl.handle.net/11441/29487
https://doi.org/10.1007/s10340-010-0337-y
Access Level:Acceso aberto
Palavra-chave:Akaike Information Criterion
Bellows and Birley method
Bemisia tabaci
Sweet pepper
Model selection
Model averaging
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spelling Model selection and averaging in the estimation of population parameters of Bemisia tabaci (Gennadius) from stage frequency data in sweet pepper plantsGonzález Zamora, José EnriqueMoreno, R.Akaike Information CriterionBellows and Birley methodBemisia tabaciSweet pepperModel selectionModel averagingBemisia tabaci is a significant pest for many crops, but there are few population studies of this insect on sweet pepper ( Capsicum annuum). In this study, stage frequency data were generated with B. tabaci in sweet pepper plants in various situations, and the Bellows and Birley method was used to obtain population parameters from the data. The Akaike Information Criterion (AIC) was used to select the best option of the Bellows and Birley method and, in some cases, to estimate the parameters of the population using model averaging. The ratios estimated/observed for each population parameter were calculated to assess bias and were used to correct the estimations if the ratios were different from 1. The effects of different factors on the estimations of population parameters were analysed. The total duration of development was affected by the experimental conditions (laboratory vs. greenhouse) and temperature, but it had the highest precision. The final survival rate was affected by temperature, and the estimation of individuals entering each stage was affected only by the options included in the Bellows and Birley method. AIC helped to detect differences in the daily survival rate among the different experiments between N1 (first instar) (range 0.842-0.923), and the egg (range 0.989-1.0) and N4 (fourth instar) (0.990). The methodology used can be employed in field population studies. For example, the final survival rate in the greenhouse experiments varied between 0.624 and 0.097, depending on if the parasitoids were present or not, and the total development varied between 420.6 and 440.7 degree days.SpringerAgronomía2011info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/11441/29487https://doi.org/10.1007/s10340-010-0337-yreponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésJournal of Pest Science, 84 (2), 165-177DOI 10.1007/s10340-010-0337-yhttp://dx.doi.org/10.1007/s10340-010-0337-yinfo:eu-repo/semantics/openAccessoai:idus.us.es:11441/294872026-06-17T12:51:07Z
dc.title.none.fl_str_mv Model selection and averaging in the estimation of population parameters of Bemisia tabaci (Gennadius) from stage frequency data in sweet pepper plants
title Model selection and averaging in the estimation of population parameters of Bemisia tabaci (Gennadius) from stage frequency data in sweet pepper plants
spellingShingle Model selection and averaging in the estimation of population parameters of Bemisia tabaci (Gennadius) from stage frequency data in sweet pepper plants
González Zamora, José Enrique
Akaike Information Criterion
Bellows and Birley method
Bemisia tabaci
Sweet pepper
Model selection
Model averaging
title_short Model selection and averaging in the estimation of population parameters of Bemisia tabaci (Gennadius) from stage frequency data in sweet pepper plants
title_full Model selection and averaging in the estimation of population parameters of Bemisia tabaci (Gennadius) from stage frequency data in sweet pepper plants
title_fullStr Model selection and averaging in the estimation of population parameters of Bemisia tabaci (Gennadius) from stage frequency data in sweet pepper plants
title_full_unstemmed Model selection and averaging in the estimation of population parameters of Bemisia tabaci (Gennadius) from stage frequency data in sweet pepper plants
title_sort Model selection and averaging in the estimation of population parameters of Bemisia tabaci (Gennadius) from stage frequency data in sweet pepper plants
dc.creator.none.fl_str_mv González Zamora, José Enrique
Moreno, R.
author González Zamora, José Enrique
author_facet González Zamora, José Enrique
Moreno, R.
author_role author
author2 Moreno, R.
author2_role author
dc.contributor.none.fl_str_mv Agronomía
dc.subject.none.fl_str_mv Akaike Information Criterion
Bellows and Birley method
Bemisia tabaci
Sweet pepper
Model selection
Model averaging
topic Akaike Information Criterion
Bellows and Birley method
Bemisia tabaci
Sweet pepper
Model selection
Model averaging
description Bemisia tabaci is a significant pest for many crops, but there are few population studies of this insect on sweet pepper ( Capsicum annuum). In this study, stage frequency data were generated with B. tabaci in sweet pepper plants in various situations, and the Bellows and Birley method was used to obtain population parameters from the data. The Akaike Information Criterion (AIC) was used to select the best option of the Bellows and Birley method and, in some cases, to estimate the parameters of the population using model averaging. The ratios estimated/observed for each population parameter were calculated to assess bias and were used to correct the estimations if the ratios were different from 1. The effects of different factors on the estimations of population parameters were analysed. The total duration of development was affected by the experimental conditions (laboratory vs. greenhouse) and temperature, but it had the highest precision. The final survival rate was affected by temperature, and the estimation of individuals entering each stage was affected only by the options included in the Bellows and Birley method. AIC helped to detect differences in the daily survival rate among the different experiments between N1 (first instar) (range 0.842-0.923), and the egg (range 0.989-1.0) and N4 (fourth instar) (0.990). The methodology used can be employed in field population studies. For example, the final survival rate in the greenhouse experiments varied between 0.624 and 0.097, depending on if the parasitoids were present or not, and the total development varied between 420.6 and 440.7 degree days.
publishDate 2011
dc.date.none.fl_str_mv 2011
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11441/29487
https://doi.org/10.1007/s10340-010-0337-y
url http://hdl.handle.net/11441/29487
https://doi.org/10.1007/s10340-010-0337-y
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Journal of Pest Science, 84 (2), 165-177
DOI 10.1007/s10340-010-0337-y
http://dx.doi.org/10.1007/s10340-010-0337-y
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
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