Analyzing Growth Curves of Turkeys Reared in Different Breeding Systems (Intensive and Free-Range) with some Nonlinear Models

Detalhes bibliográficos
Autor(a) principal: Sogut,B
Data de Publicação: 2016
Outros Autores: Celik,S, Ayasan,T, Inci,H
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Poultry Science (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2016000400619
Resumo: ABSTRACT The objective of this study was to identify the growth curve of live weight of turkeys reared in different systems (intensive and free- range) with the best mathematical model. To achieve this goal, the live weight of male and female turkeys (Large White) reared for 0-18 weeks were used. Logistic, Gompertz, Von Bertalanffy, and Gauss were used to determine the best model for the turkeys. In comparison of the models, values of Coefficient of Determination (R2), Mean Squares of Error (MSE) and Model Efficiency (ME) were used. In Von Bertalanffy model, the coefficient of determinations for males and females were found as 0.9974 and 0.99915 in intensive system and 0.9794 and 0.9804 in Free-Range system, respectively. As a result of this study, because the highest R2 and the lowest MSE were observed in Von Bertalanffy model, it was the best among the models to identify growth curve of the turkeys.
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spelling Analyzing Growth Curves of Turkeys Reared in Different Breeding Systems (Intensive and Free-Range) with some Nonlinear ModelsBreeding systemgrowth modelslarge white turkeylive weightABSTRACT The objective of this study was to identify the growth curve of live weight of turkeys reared in different systems (intensive and free- range) with the best mathematical model. To achieve this goal, the live weight of male and female turkeys (Large White) reared for 0-18 weeks were used. Logistic, Gompertz, Von Bertalanffy, and Gauss were used to determine the best model for the turkeys. In comparison of the models, values of Coefficient of Determination (R2), Mean Squares of Error (MSE) and Model Efficiency (ME) were used. In Von Bertalanffy model, the coefficient of determinations for males and females were found as 0.9974 and 0.99915 in intensive system and 0.9794 and 0.9804 in Free-Range system, respectively. As a result of this study, because the highest R2 and the lowest MSE were observed in Von Bertalanffy model, it was the best among the models to identify growth curve of the turkeys.Fundacao de Apoio a Ciência e Tecnologia Avicolas2016-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2016000400619Brazilian Journal of Poultry Science v.18 n.4 2016reponame:Brazilian Journal of Poultry Science (Online)instname:Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA)instacron:FACTA10.1590/1806-9061-2016-0263info:eu-repo/semantics/openAccessSogut,BCelik,SAyasan,TInci,Heng2017-09-15T00:00:00Zoai:scielo:S1516-635X2016000400619Revistahttp://www.scielo.br/rbcahttps://old.scielo.br/oai/scielo-oai.php||rvfacta@terra.com.br1806-90611516-635Xopendoar:2017-09-15T00:00Brazilian Journal of Poultry Science (Online) - Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA)false
dc.title.none.fl_str_mv Analyzing Growth Curves of Turkeys Reared in Different Breeding Systems (Intensive and Free-Range) with some Nonlinear Models
title Analyzing Growth Curves of Turkeys Reared in Different Breeding Systems (Intensive and Free-Range) with some Nonlinear Models
spellingShingle Analyzing Growth Curves of Turkeys Reared in Different Breeding Systems (Intensive and Free-Range) with some Nonlinear Models
Sogut,B
Breeding system
growth models
large white turkey
live weight
title_short Analyzing Growth Curves of Turkeys Reared in Different Breeding Systems (Intensive and Free-Range) with some Nonlinear Models
title_full Analyzing Growth Curves of Turkeys Reared in Different Breeding Systems (Intensive and Free-Range) with some Nonlinear Models
title_fullStr Analyzing Growth Curves of Turkeys Reared in Different Breeding Systems (Intensive and Free-Range) with some Nonlinear Models
title_full_unstemmed Analyzing Growth Curves of Turkeys Reared in Different Breeding Systems (Intensive and Free-Range) with some Nonlinear Models
title_sort Analyzing Growth Curves of Turkeys Reared in Different Breeding Systems (Intensive and Free-Range) with some Nonlinear Models
author Sogut,B
author_facet Sogut,B
Celik,S
Ayasan,T
Inci,H
author_role author
author2 Celik,S
Ayasan,T
Inci,H
author2_role author
author
author
dc.contributor.author.fl_str_mv Sogut,B
Celik,S
Ayasan,T
Inci,H
dc.subject.por.fl_str_mv Breeding system
growth models
large white turkey
live weight
topic Breeding system
growth models
large white turkey
live weight
description ABSTRACT The objective of this study was to identify the growth curve of live weight of turkeys reared in different systems (intensive and free- range) with the best mathematical model. To achieve this goal, the live weight of male and female turkeys (Large White) reared for 0-18 weeks were used. Logistic, Gompertz, Von Bertalanffy, and Gauss were used to determine the best model for the turkeys. In comparison of the models, values of Coefficient of Determination (R2), Mean Squares of Error (MSE) and Model Efficiency (ME) were used. In Von Bertalanffy model, the coefficient of determinations for males and females were found as 0.9974 and 0.99915 in intensive system and 0.9794 and 0.9804 in Free-Range system, respectively. As a result of this study, because the highest R2 and the lowest MSE were observed in Von Bertalanffy model, it was the best among the models to identify growth curve of the turkeys.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2016000400619
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2016000400619
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1806-9061-2016-0263
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Fundacao de Apoio a Ciência e Tecnologia Avicolas
publisher.none.fl_str_mv Fundacao de Apoio a Ciência e Tecnologia Avicolas
dc.source.none.fl_str_mv Brazilian Journal of Poultry Science v.18 n.4 2016
reponame:Brazilian Journal of Poultry Science (Online)
instname:Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA)
instacron:FACTA
instname_str Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA)
instacron_str FACTA
institution FACTA
reponame_str Brazilian Journal of Poultry Science (Online)
collection Brazilian Journal of Poultry Science (Online)
repository.name.fl_str_mv Brazilian Journal of Poultry Science (Online) - Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA)
repository.mail.fl_str_mv ||rvfacta@terra.com.br
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