A Hybrid Artificial Intelligence Model for Aeneolamia varia (Hemiptera: Cercopidae) Populations in Sugarcane Crops

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorInsect Management Sugarcane-
Autor(es): dc.contributorUniv Vina del Mar UVM-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorTech Univ Ambato UTA-
Autor(es): dc.creatorFigueredo, Luis-
Autor(es): dc.creatorVilla-Murillo, Adriana-
Autor(es): dc.creatorColmenarez, Yelitza [UNESP]-
Autor(es): dc.creatorVasquez, Carlos [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:56:04Z-
Data de disponibilização: dc.date.available2022-02-22T00:56:04Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-04-03-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1093/jisesa/ieab017-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/209339-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/209339-
Descrição: dc.descriptionSugarcane spittlebugs are considered important pests in sugarcane crops ranging from the southeastern United States to northern Argentina. To evaluate the effects of climate variables on adult populations of Aeneolamia varia (Fabricius) (Hemiptera: Cercopidae), a 3-yr monitoring study was carried out in sugarcane fields at week-long intervals during the rainy season (May to November 2005-2007). The resulting data were analyzed using the univariate Forest-Genetic method. The best predictive model explained 75.8% variability in physiological damage threshold. It predicted that the main climatic factors influencing the adult population would be, in order of importance, evaporation; evapotranspiration by 0.5; evapotranspiration, cloudiness at 2:00 p.m.; average sunshine and relative humidity at 8:00 a.m. The optimization of the predictive model established that the lower and upper limits of the climatic variables produced a threshold in the population development rate of 184 to 267 adult insects under the agroecological conditions of the study area.These results provide a new perspective on decision-making in the preventive management of A. varia adults in sugarcane crops.-
Descrição: dc.descriptionInsect Management Sugarcane, Yaritagua, Yaracuy State, Venezuela-
Descrição: dc.descriptionUniv Vina del Mar UVM, Life Sci Dept, Vina Del Mar, Chile-
Descrição: dc.descriptionCABI UNESP FEPAF Fazenda Expt Lageado, Rua Jose Barbosa de Barros 1780, BR-18610307 Botucatu, SP, Brazil-
Descrição: dc.descriptionTech Univ Ambato UTA, Agr Sci Fac, Cevallos, Province Of Tun, Ecuador-
Descrição: dc.descriptionCABI UNESP FEPAF Fazenda Expt Lageado, Rua Jose Barbosa de Barros 1780, BR-18610307 Botucatu, SP, Brazil-
Formato: dc.format6-
Idioma: dc.languageen-
Publicador: dc.publisherOxford Univ Press Inc-
Relação: dc.relationJournal Of Insect Science-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectpest insect-
Palavras-chave: dc.subjectpopulation management threshold-
Palavras-chave: dc.subjectRandom Forest-
Palavras-chave: dc.subjectgenetic algorithm-
Título: dc.titleA Hybrid Artificial Intelligence Model for Aeneolamia varia (Hemiptera: Cercopidae) Populations in Sugarcane Crops-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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