Fuzzy model to predict feed intake of Japanese quails

Detalhes bibliográficos
Autor(a) principal: Castro, Jaqueline de Oliveira
Data de Publicação: 2019
Outros Autores: Yanagi Junior, Tadayuki, Schiassi, Leonardo, Fassani, Edison José, Ferraz, Patrícia Ferreira Ponciano
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/39969
Resumo: Thermal environment management have been a barrier to increase quail production, once it exerts direct and indirect effects on egg production and welfare. The objective of this study was to develop a fuzzy model to predict feed intake of Japanese laying quails. The model was developed based on data derived from field measurements, laboratory and the literature, regarding the environmental influence on feed intake (FI, g) of Japanese quail in laying. Air temperature (°C) and relative humidity (%) were defined as input variable, and FI as output variable. Mandani’s inference and center of gravity deuzzification methods were used for developing the model, as well as, trapezoidal membership functions for the input and output variables. The standard deviation (SD) among the values of observed and predicted FI by the fuzzy model, ranged from 0.01 g to 1.10 g, and the average deviation was 0.41 g. The average error (AE) and coefficient of determination (R²) found were 2.22% and 0.93, respectively. Therefore, the low values of SD, AE and high values R² indicate that the fuzzy model can be applied to estimate feed intake of Japanese quails.
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spelling Fuzzy model to predict feed intake of Japanese quailsCoturnix Coturnix JaponicaFuzzy set theoryProductive performanceThermal environmentCodornas japonesas - Alimentação e raçõesModelo fuzzyThermal environment management have been a barrier to increase quail production, once it exerts direct and indirect effects on egg production and welfare. The objective of this study was to develop a fuzzy model to predict feed intake of Japanese laying quails. The model was developed based on data derived from field measurements, laboratory and the literature, regarding the environmental influence on feed intake (FI, g) of Japanese quail in laying. Air temperature (°C) and relative humidity (%) were defined as input variable, and FI as output variable. Mandani’s inference and center of gravity deuzzification methods were used for developing the model, as well as, trapezoidal membership functions for the input and output variables. The standard deviation (SD) among the values of observed and predicted FI by the fuzzy model, ranged from 0.01 g to 1.10 g, and the average deviation was 0.41 g. The average error (AE) and coefficient of determination (R²) found were 2.22% and 0.93, respectively. Therefore, the low values of SD, AE and high values R² indicate that the fuzzy model can be applied to estimate feed intake of Japanese quails.Center for Applied Animal Biometeorology2020-04-13T13:59:50Z2020-04-13T13:59:50Z2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfCASTRO, J. de O. et al. Fuzzy model to predict feed intake of Japanese quails. Journal of Animal Behaviour and Biometeorology, Mossoró, v. 7, n. 1, p. 18-24, 2019.http://repositorio.ufla.br/jspui/handle/1/39969Journal of Animal Behaviour and Biometeorologyreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessCastro, Jaqueline de OliveiraYanagi Junior, TadayukiSchiassi, LeonardoFassani, Edison JoséFerraz, Patrícia Ferreira Poncianoeng2020-04-13T14:00:17Zoai:localhost:1/39969Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-04-13T14:00:17Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Fuzzy model to predict feed intake of Japanese quails
title Fuzzy model to predict feed intake of Japanese quails
spellingShingle Fuzzy model to predict feed intake of Japanese quails
Castro, Jaqueline de Oliveira
Coturnix Coturnix Japonica
Fuzzy set theory
Productive performance
Thermal environment
Codornas japonesas - Alimentação e rações
Modelo fuzzy
title_short Fuzzy model to predict feed intake of Japanese quails
title_full Fuzzy model to predict feed intake of Japanese quails
title_fullStr Fuzzy model to predict feed intake of Japanese quails
title_full_unstemmed Fuzzy model to predict feed intake of Japanese quails
title_sort Fuzzy model to predict feed intake of Japanese quails
author Castro, Jaqueline de Oliveira
author_facet Castro, Jaqueline de Oliveira
Yanagi Junior, Tadayuki
Schiassi, Leonardo
Fassani, Edison José
Ferraz, Patrícia Ferreira Ponciano
author_role author
author2 Yanagi Junior, Tadayuki
Schiassi, Leonardo
Fassani, Edison José
Ferraz, Patrícia Ferreira Ponciano
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Castro, Jaqueline de Oliveira
Yanagi Junior, Tadayuki
Schiassi, Leonardo
Fassani, Edison José
Ferraz, Patrícia Ferreira Ponciano
dc.subject.por.fl_str_mv Coturnix Coturnix Japonica
Fuzzy set theory
Productive performance
Thermal environment
Codornas japonesas - Alimentação e rações
Modelo fuzzy
topic Coturnix Coturnix Japonica
Fuzzy set theory
Productive performance
Thermal environment
Codornas japonesas - Alimentação e rações
Modelo fuzzy
description Thermal environment management have been a barrier to increase quail production, once it exerts direct and indirect effects on egg production and welfare. The objective of this study was to develop a fuzzy model to predict feed intake of Japanese laying quails. The model was developed based on data derived from field measurements, laboratory and the literature, regarding the environmental influence on feed intake (FI, g) of Japanese quail in laying. Air temperature (°C) and relative humidity (%) were defined as input variable, and FI as output variable. Mandani’s inference and center of gravity deuzzification methods were used for developing the model, as well as, trapezoidal membership functions for the input and output variables. The standard deviation (SD) among the values of observed and predicted FI by the fuzzy model, ranged from 0.01 g to 1.10 g, and the average deviation was 0.41 g. The average error (AE) and coefficient of determination (R²) found were 2.22% and 0.93, respectively. Therefore, the low values of SD, AE and high values R² indicate that the fuzzy model can be applied to estimate feed intake of Japanese quails.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020-04-13T13:59:50Z
2020-04-13T13:59:50Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv CASTRO, J. de O. et al. Fuzzy model to predict feed intake of Japanese quails. Journal of Animal Behaviour and Biometeorology, Mossoró, v. 7, n. 1, p. 18-24, 2019.
http://repositorio.ufla.br/jspui/handle/1/39969
identifier_str_mv CASTRO, J. de O. et al. Fuzzy model to predict feed intake of Japanese quails. Journal of Animal Behaviour and Biometeorology, Mossoró, v. 7, n. 1, p. 18-24, 2019.
url http://repositorio.ufla.br/jspui/handle/1/39969
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Center for Applied Animal Biometeorology
publisher.none.fl_str_mv Center for Applied Animal Biometeorology
dc.source.none.fl_str_mv Journal of Animal Behaviour and Biometeorology
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
_version_ 1807835089479925760

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