Isotonic regression analysis of Guzerá cattle growth curves
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/34512 |
Resumo: | 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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Isotonic regression analysis of Guzerá cattle growth curvesRegressão isotônica para estudos de curvas de crescimento de bovinos GuzeráData transformationIsotonizationNon-linear modelsGuzera - Growth curvesTransformação de dadosIsotonizaçãoModelos não linearesGuzerá - Curvas de crescimentoThe 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).Objetivou-se aplicar a transformação de dados via regressão isotônica em estudos de crescimento de animais da raça Guzerá cujos dados apresentam distúrbios caracterizados por decréscimos de pesos em determinadas faixas de idades. Foram tomadas observações de peso-idade de machos da raça Guzerá recém-desmamados obedecendo à metodologia das provas de ganho de peso (PGP) definidas pela Associação Brasileira dos Criadores de Zebu (ABCZ). Os modelos Logístico, Von Bertalanffy e Gompertz foram ajustados aos dados de peso-idade por meio do método dos quadrados mínimos ordinários generalizados para modelos de regressão não linear via algoritmo de Gauss-Newton. A transformação proposta por meio da teoria de regressão isotônica mostrou-se eficiente, e o modelo Logístico foi o mais adequado para descrever o crescimento dos animais por apresentar alta porcentagem de convergência (100%) e qualidade de ajuste satisfatória, medida por meio do quadrado médio do erro (QME) e do coeficiente de determinação (R2).Universidade Federal de Viçosa2019-06-03T12:23:19Z2019-06-03T12:23:19Z2018-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfRODRIGUES, A. et al. Isotonic regression analysis of Guzerá cattle growth curves. Ceres, Viçosa, MG, v. 65, n. 1, p. 24-27, jan./fev. 2018.http://repositorio.ufla.br/jspui/handle/1/34512Ceresreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessRodrigues, AdrianoChaves, Lucas MonteiroSilva, Fabyano FonsecaGarcia, Idalmo PereiraDuarte, Darlene Ana SouzaVentura, Henrique Torreseng2023-05-26T19:36:04Zoai:localhost:1/34512Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-26T19:36:04Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Isotonic regression analysis of Guzerá cattle growth curves Regressão isotônica para estudos de curvas de crescimento de bovinos Guzerá |
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 Guzera - Growth curves Transformação de dados Isotonização Modelos não lineares Guzerá - Curvas de crescimento |
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 Guzera - Growth curves Transformação de dados Isotonização Modelos não lineares Guzerá - Curvas de crescimento |
topic |
Data transformation Isotonization Non-linear models Guzera - Growth curves Transformação de dados Isotonização Modelos não lineares Guzerá - Curvas de crescimento |
description |
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 |
2018-01 2019-06-03T12:23:19Z 2019-06-03T12:23:19Z |
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 |
RODRIGUES, A. et al. Isotonic regression analysis of Guzerá cattle growth curves. Ceres, Viçosa, MG, v. 65, n. 1, p. 24-27, jan./fev. 2018. http://repositorio.ufla.br/jspui/handle/1/34512 |
identifier_str_mv |
RODRIGUES, A. et al. Isotonic regression analysis of Guzerá cattle growth curves. Ceres, Viçosa, MG, v. 65, n. 1, p. 24-27, jan./fev. 2018. |
url |
http://repositorio.ufla.br/jspui/handle/1/34512 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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 |
Ceres 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_ |
1815439123582812160 |