Modelos de regressão aleatória na avaliação genética do crescimento de ovinos da raça Santa Inês
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , , |
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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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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1808128386758868992 |