Fuzzy modeling to predict chicken egg hatchability in commercial hatchery

Página do item simplificado
dc.contributor.authorPeruzzi, N. J. [UNESP]
dc.contributor.authorScala, N. L. [UNESP]
dc.contributor.authorMacari, Marcos [UNESP]
dc.contributor.authorFurlan, Renato Luis [UNESP]
dc.contributor.authorMeyer, A. D. [UNESP]
dc.contributor.authorFernandez-Alarcon, M. F. [UNESP]
dc.contributor.authorKroetz Neto, F. L. [UNESP]
dc.contributor.authorSouza, F. A. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:13:42Z
dc.date.available2014-05-20T13:13:42Z
dc.date.issued2012-10-01
dc.description.abstractExperimental studies have shown that hatching rate depends, among other factors, on the main physical characteristics of the eggs. The physical parameters used in our work were egg weight, eggshell thickness, egg sphericity, and yolk per albumen ratio. The relationships of these parameters in the incubation process were modeled by Fuzzy logic. The rules of the Fuzzy modeling were based on the analysis of the physical characteristics of the hatching eggs and the respective hatching rate using a commercial hatchery by applying a trapezoidal membership function into the modeling process. The implementations were performed in software. Aiming to compare the Fuzzy with a statistical modeling, the same data obtained in the commercial hatchery were analyzed using multiple linear regression. The estimated parameters of multiple linear regressions were based on a backward selection procedure. The results showed that the determination coefficient and the mean square error were higher using the Fuzzy method when compared with the statistical modeling. Furthermore, the predicted hatchability rates by Fuzzy Logic agreed with hatching rates obtained in the commercial hatchery.en
dc.description.affiliationUNESP Univ Estadual Paulista, Fac Agr & Vet, São Paulo State Univ, Exact Sci Dept, BR-14884900 Jaboticabal, SP, Brazil
dc.description.affiliationUNESP Univ Estadual Paulista, Fac Agr & Vet, São Paulo State Univ, Dept Anim Morphol & Physiol, BR-14884900 Jaboticabal, SP, Brazil
dc.description.affiliationUnespUNESP Univ Estadual Paulista, Fac Agr & Vet, São Paulo State Univ, Exact Sci Dept, BR-14884900 Jaboticabal, SP, Brazil
dc.description.affiliationUnespUNESP Univ Estadual Paulista, Fac Agr & Vet, São Paulo State Univ, Dept Anim Morphol & Physiol, BR-14884900 Jaboticabal, SP, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdFAPESP: 08/52524-5
dc.format.extent2710-2717
dc.identifierhttp://dx.doi.org/10.3382/ps.2011-01878
dc.identifier.citationPoultry Science. Savoy: Poultry Science Assoc Inc, v. 91, n. 10, p. 2710-2717, 2012.
dc.identifier.doi10.3382/ps.2011-01878
dc.identifier.issn0032-5791
dc.identifier.lattes5713558572926669
dc.identifier.lattes0806409484159642
dc.identifier.orcid0000-0001-9549-0329
dc.identifier.urihttp://hdl.handle.net/11449/1409
dc.identifier.wosWOS:000309196400040
dc.language.isoeng
dc.publisherPoultry Science Assoc Inc
dc.relation.ispartofPoultry Science
dc.relation.ispartofjcr2.216
dc.relation.ispartofsjr1,112
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectfuzzy logicen
dc.subjectregression modelen
dc.subjecthatching eggen
dc.subjectHatchabilityen
dc.titleFuzzy modeling to predict chicken egg hatchability in commercial hatcheryen
dc.typeArtigo
dcterms.licensehttp://japr.fass.org/site/misc/Rights_Permissions.xhtml
dcterms.rightsHolderPoultry Science Assoc Inc
unesp.author.lattes5713558572926669
unesp.author.lattes9328605955580308[5]
unesp.author.lattes0806409484159642[4]
unesp.author.orcid0000-0002-6850-7145[3]
unesp.author.orcid0000-0001-9549-0329[4]
unesp.author.orcid0000-0003-1696-4691[5]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt

Arquivos

Licença do Pacote
Agora exibindo 1 - 2 de 2
Nenhuma Miniatura disponível
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição:
Nenhuma Miniatura disponível
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição:

Coleções

Artigos - Ciências Exatas - FCAV
Artigos - Morfologia e Fisiologia Animal - FCAV