Modelos de regressão aleatória na avaliação genética do crescimento de ovinos da raça Santa Inês

Detalhes bibliográficos
Autor(a) principal: Sarmento, José Lindenberg Rocha
Data de Publicação: 2010
Outros Autores: de Almeida Torres, Robledo, Lôbo, Raimundo Nonato Braga, de Albuquerque, Lucia Galvão [UNESP], de Sousa, Wandrick Hauus, de Sousa, José Ernandes Rufino
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/S1516-35982010000800014
http://hdl.handle.net/11449/231950
Resumo: It was used 17,767 weight records of 4,210 Santa Inês breed lambs aiming to compare random regression models with different structures to model the residual variance in genetic studies of the growth curve. The fixed effects included in the analysis were contemporary group and age of the ewe at lambing. Fixed and random regressions were fitted through Legendry polynomials of orders 4 and 3, respectively. The residual variance was fitted by heterogeneous classes and by functions of variances employing ordinary polynomials and Legendry polynomials of the orders 2 to 8. The model considering homogeneity of residual variances was inadequate. Accordingly to the used criteria, the residual variance containing seven heterogeneous classes provided the best fit, although a more parsimonious one, with five classes, could be used without losses on the quality of variance fit on the data. The fit of functions of variances with any order was better than that obtained through classes. The ordinary polynomial of order 6 provided the best fit among the tested structures. The modeling of the residue interfered on the estimative of the variances and genetic parameters. In addition to changes in the classification of the reproducers, the magnitude of the predicted genetic values shows significant variations, accordingly to the fitting of the used residual variance. © 2010 Sociedade Brasileira de Zootecnia.
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spelling Modelos de regressão aleatória na avaliação genética do crescimento de ovinos da raça Santa InêsRandom regression models on genetic evaluation on the growth of Santa Inês breed sheepAnimal modelBreeding valueGenetic parametersHair sheepHeritabilityHeterogeneity of varianceIt was used 17,767 weight records of 4,210 Santa Inês breed lambs aiming to compare random regression models with different structures to model the residual variance in genetic studies of the growth curve. The fixed effects included in the analysis were contemporary group and age of the ewe at lambing. Fixed and random regressions were fitted through Legendry polynomials of orders 4 and 3, respectively. The residual variance was fitted by heterogeneous classes and by functions of variances employing ordinary polynomials and Legendry polynomials of the orders 2 to 8. The model considering homogeneity of residual variances was inadequate. Accordingly to the used criteria, the residual variance containing seven heterogeneous classes provided the best fit, although a more parsimonious one, with five classes, could be used without losses on the quality of variance fit on the data. The fit of functions of variances with any order was better than that obtained through classes. The ordinary polynomial of order 6 provided the best fit among the tested structures. The modeling of the residue interfered on the estimative of the variances and genetic parameters. In addition to changes in the classification of the reproducers, the magnitude of the predicted genetic values shows significant variations, accordingly to the fitting of the used residual variance. © 2010 Sociedade Brasileira de Zootecnia.UFPI Campus de Bom Jesus, CEP: 64.900-000, Bom Jesus, PIDepartamento de Zootecnia UFV, CEP: 36571-000 Viçosa, MGEMBRAPA CaprinosFCAV UNESP, CEP: 14884-900 Jaboticabal, SPEMEPA-PBFCAV UNESP, CEP: 14884-900 Jaboticabal, SPUFPIUniversidade Federal de Viçosa (UFV)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Universidade Estadual Paulista (UNESP)EMEPA-PBSarmento, José Lindenberg Rochade Almeida Torres, RobledoLôbo, Raimundo Nonato Bragade Albuquerque, Lucia Galvão [UNESP]de Sousa, Wandrick Hauusde Sousa, José Ernandes Rufino2022-04-29T08:48:19Z2022-04-29T08:48:19Z2010-08-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1723-1732http://dx.doi.org/10.1590/S1516-35982010000800014Revista Brasileira de Zootecnia, v. 39, n. 8, p. 1723-1732, 2010.1516-35981806-9290http://hdl.handle.net/11449/23195010.1590/S1516-359820100008000142-s2.0-77957353553Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporRevista Brasileira de Zootecniainfo:eu-repo/semantics/openAccess2024-06-07T18:40:13Zoai:repositorio.unesp.br:11449/231950Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:36:24.054063Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Modelos de regressão aleatória na avaliação genética do crescimento de ovinos da raça Santa Inês
Random regression models on genetic evaluation on the growth of Santa Inês breed sheep
title Modelos de regressão aleatória na avaliação genética do crescimento de ovinos da raça Santa Inês
spellingShingle Modelos de regressão aleatória na avaliação genética do crescimento de ovinos da raça Santa Inês
Sarmento, José Lindenberg Rocha
Animal model
Breeding value
Genetic parameters
Hair sheep
Heritability
Heterogeneity of variance
title_short Modelos de regressão aleatória na avaliação genética do crescimento de ovinos da raça Santa Inês
title_full Modelos de regressão aleatória na avaliação genética do crescimento de ovinos da raça Santa Inês
title_fullStr Modelos de regressão aleatória na avaliação genética do crescimento de ovinos da raça Santa Inês
title_full_unstemmed Modelos de regressão aleatória na avaliação genética do crescimento de ovinos da raça Santa Inês
title_sort Modelos de regressão aleatória na avaliação genética do crescimento de ovinos da raça Santa Inês
author Sarmento, José Lindenberg Rocha
author_facet Sarmento, José Lindenberg Rocha
de Almeida Torres, Robledo
Lôbo, Raimundo Nonato Braga
de Albuquerque, Lucia Galvão [UNESP]
de Sousa, Wandrick Hauus
de Sousa, José Ernandes Rufino
author_role author
author2 de Almeida Torres, Robledo
Lôbo, Raimundo Nonato Braga
de Albuquerque, Lucia Galvão [UNESP]
de Sousa, Wandrick Hauus
de Sousa, José Ernandes Rufino
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv UFPI
Universidade Federal de Viçosa (UFV)
Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
Universidade Estadual Paulista (UNESP)
EMEPA-PB
dc.contributor.author.fl_str_mv Sarmento, José Lindenberg Rocha
de Almeida Torres, Robledo
Lôbo, Raimundo Nonato Braga
de Albuquerque, Lucia Galvão [UNESP]
de Sousa, Wandrick Hauus
de Sousa, José Ernandes Rufino
dc.subject.por.fl_str_mv Animal model
Breeding value
Genetic parameters
Hair sheep
Heritability
Heterogeneity of variance
topic Animal model
Breeding value
Genetic parameters
Hair sheep
Heritability
Heterogeneity of variance
description It was used 17,767 weight records of 4,210 Santa Inês breed lambs aiming to compare random regression models with different structures to model the residual variance in genetic studies of the growth curve. The fixed effects included in the analysis were contemporary group and age of the ewe at lambing. Fixed and random regressions were fitted through Legendry polynomials of orders 4 and 3, respectively. The residual variance was fitted by heterogeneous classes and by functions of variances employing ordinary polynomials and Legendry polynomials of the orders 2 to 8. The model considering homogeneity of residual variances was inadequate. Accordingly to the used criteria, the residual variance containing seven heterogeneous classes provided the best fit, although a more parsimonious one, with five classes, could be used without losses on the quality of variance fit on the data. The fit of functions of variances with any order was better than that obtained through classes. The ordinary polynomial of order 6 provided the best fit among the tested structures. The modeling of the residue interfered on the estimative of the variances and genetic parameters. In addition to changes in the classification of the reproducers, the magnitude of the predicted genetic values shows significant variations, accordingly to the fitting of the used residual variance. © 2010 Sociedade Brasileira de Zootecnia.
publishDate 2010
dc.date.none.fl_str_mv 2010-08-01
2022-04-29T08:48:19Z
2022-04-29T08:48:19Z
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 http://dx.doi.org/10.1590/S1516-35982010000800014
Revista Brasileira de Zootecnia, v. 39, n. 8, p. 1723-1732, 2010.
1516-3598
1806-9290
http://hdl.handle.net/11449/231950
10.1590/S1516-35982010000800014
2-s2.0-77957353553
url http://dx.doi.org/10.1590/S1516-35982010000800014
http://hdl.handle.net/11449/231950
identifier_str_mv Revista Brasileira de Zootecnia, v. 39, n. 8, p. 1723-1732, 2010.
1516-3598
1806-9290
10.1590/S1516-35982010000800014
2-s2.0-77957353553
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Revista Brasileira de Zootecnia
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1723-1732
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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