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

 

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dc.creator González Zamora, José Enrique
dc.creator Moreno, R.
dc.date.accessioned 2015-10-15T07:47:02Z
dc.date.available 2015-10-15T07:47:02Z
dc.date.issued 2011
dc.identifier.citation González Zamora, J.E. y Moreno, R. (2011). Model selection and averaging in the estimation of population parameters of Bemisia tabaci (Gennadius) from stage frequency data in sweet pepper plants. Journal of Pest Science, 84 (2), 165-177. es
dc.identifier.issn 1612-4758 es
dc.identifier.issn 1612-4766 (Online) es
dc.identifier.uri http://hdl.handle.net/11441/29487
dc.description.abstract 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. es
dc.format application/pdf es
dc.language.iso eng es
dc.publisher Springer es
dc.relation.ispartof Journal of Pest Science, 84 (2), 165-177 es
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 Internacional *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject Akaike Information Criterion es
dc.subject Bellows and Birley method es
dc.subject Bemisia tabaci es
dc.subject Sweet pepper es
dc.subject Model selection es
dc.subject Model averaging es
dc.title Model selection and averaging in the estimation of population parameters of Bemisia tabaci (Gennadius) from stage frequency data in sweet pepper plants es
dc.type info:eu-repo/semantics/article es
dc.type.version info:eu-repo/semantics/acceptedVersion es
dc.rights.accessrights info:eu-repo/semantics/openAccess es
dc.contributor.affiliation Universidad de Sevilla. Departamento Ciencias Agroforestales es
dc.relation.publisherversion DOI 10.1007/s10340-010-0337-y es
dc.relation.publisherversion http://dx.doi.org/10.1007/s10340-010-0337-y es
dc.identifier.doi 10.1007/s10340-010-0337-y es
dc.journaltitle Journal of Pest Science es
dc.publication.volumen 84 es
dc.publication.issue 2 es
dc.publication.initialPage 165 es
dc.publication.endPage 177 es
dc.identifier.idus https://idus.us.es/xmlui/handle/11441/29487
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