Isotonic regression analysis of Guzerá cattle growth curves

Detalhes bibliográficos
Autor(a) principal: Rodrigues,Adriano
Data de Publicação: 2018
Outros Autores: Chaves,Lucas Monteiro, Silva,Fabyano Fonseca, Garcia,Idalmo Pereira, Duarte,Darlene Ana Souza, Ventura,Henrique Torres
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Ceres
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2018000100024
Resumo: ABSTRACT The objective of this study was to apply data transformation via isotonic regression in growth curves studies of Guzerá cattle whose data presented disturbances characterized by decreased body weight in certain age groups. Weight-age data were collected on newly weaned Guzerá males according to the methodology of weight gain tests (WGT) defined by the Brazilian Association of Zebu Breeders (ABCZ). The Logistic, Von Bertalanffy and Gompertz models were fitted to weight-age data using the generalized least squares method for non-linear regression models through the Gauss-Newton algorithm. The proposed transformation based on isotonic regression theory proved to be efficient; and the Logistic model was the best to describe the growth of animals, with a high percentage of convergence (100%) and goodness of fit assessed by the mean squared error (MSE) and the coefficient of determination (R2).
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spelling Isotonic regression analysis of Guzerá cattle growth curvesdata transformationisotonizationnon-linear modelsABSTRACT The objective of this study was to apply data transformation via isotonic regression in growth curves studies of Guzerá cattle whose data presented disturbances characterized by decreased body weight in certain age groups. Weight-age data were collected on newly weaned Guzerá males according to the methodology of weight gain tests (WGT) defined by the Brazilian Association of Zebu Breeders (ABCZ). The Logistic, Von Bertalanffy and Gompertz models were fitted to weight-age data using the generalized least squares method for non-linear regression models through the Gauss-Newton algorithm. The proposed transformation based on isotonic regression theory proved to be efficient; and the Logistic model was the best to describe the growth of animals, with a high percentage of convergence (100%) and goodness of fit assessed by the mean squared error (MSE) and the coefficient of determination (R2).Universidade Federal de Viçosa2018-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2018000100024Revista Ceres v.65 n.1 2018reponame:Revista Ceresinstname:Universidade Federal de Viçosa (UFV)instacron:UFV10.1590/0034-737x201865010004info:eu-repo/semantics/openAccessRodrigues,AdrianoChaves,Lucas MonteiroSilva,Fabyano FonsecaGarcia,Idalmo PereiraDuarte,Darlene Ana SouzaVentura,Henrique Torreseng2018-03-22T00:00:00ZRevista
dc.title.none.fl_str_mv Isotonic regression analysis of Guzerá cattle growth curves
title Isotonic regression analysis of Guzerá cattle growth curves
spellingShingle Isotonic regression analysis of Guzerá cattle growth curves
Rodrigues,Adriano
data transformation
isotonization
non-linear models
title_short Isotonic regression analysis of Guzerá cattle growth curves
title_full Isotonic regression analysis of Guzerá cattle growth curves
title_fullStr Isotonic regression analysis of Guzerá cattle growth curves
title_full_unstemmed Isotonic regression analysis of Guzerá cattle growth curves
title_sort Isotonic regression analysis of Guzerá cattle growth curves
author Rodrigues,Adriano
author_facet Rodrigues,Adriano
Chaves,Lucas Monteiro
Silva,Fabyano Fonseca
Garcia,Idalmo Pereira
Duarte,Darlene Ana Souza
Ventura,Henrique Torres
author_role author
author2 Chaves,Lucas Monteiro
Silva,Fabyano Fonseca
Garcia,Idalmo Pereira
Duarte,Darlene Ana Souza
Ventura,Henrique Torres
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Rodrigues,Adriano
Chaves,Lucas Monteiro
Silva,Fabyano Fonseca
Garcia,Idalmo Pereira
Duarte,Darlene Ana Souza
Ventura,Henrique Torres
dc.subject.por.fl_str_mv data transformation
isotonization
non-linear models
topic data transformation
isotonization
non-linear models
dc.description.none.fl_txt_mv ABSTRACT The objective of this study was to apply data transformation via isotonic regression in growth curves studies of Guzerá cattle whose data presented disturbances characterized by decreased body weight in certain age groups. Weight-age data were collected on newly weaned Guzerá males according to the methodology of weight gain tests (WGT) defined by the Brazilian Association of Zebu Breeders (ABCZ). The Logistic, Von Bertalanffy and Gompertz models were fitted to weight-age data using the generalized least squares method for non-linear regression models through the Gauss-Newton algorithm. The proposed transformation based on isotonic regression theory proved to be efficient; and the Logistic model was the best to describe the growth of animals, with a high percentage of convergence (100%) and goodness of fit assessed by the mean squared error (MSE) and the coefficient of determination (R2).
description ABSTRACT The objective of this study was to apply data transformation via isotonic regression in growth curves studies of Guzerá cattle whose data presented disturbances characterized by decreased body weight in certain age groups. Weight-age data were collected on newly weaned Guzerá males according to the methodology of weight gain tests (WGT) defined by the Brazilian Association of Zebu Breeders (ABCZ). The Logistic, Von Bertalanffy and Gompertz models were fitted to weight-age data using the generalized least squares method for non-linear regression models through the Gauss-Newton algorithm. The proposed transformation based on isotonic regression theory proved to be efficient; and the Logistic model was the best to describe the growth of animals, with a high percentage of convergence (100%) and goodness of fit assessed by the mean squared error (MSE) and the coefficient of determination (R2).
publishDate 2018
dc.date.none.fl_str_mv 2018-02-01
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=S0034-737X2018000100024
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2018000100024
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0034-737x201865010004
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 Universidade Federal de Viçosa
publisher.none.fl_str_mv Universidade Federal de Viçosa
dc.source.none.fl_str_mv Revista Ceres v.65 n.1 2018
reponame:Revista Ceres
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Revista Ceres
collection Revista Ceres
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1728006782990680064

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