Heterogeneous genetic (co)variances in simulated closed herds under selection - 10.4025/actascianimsci.v34i1.10934
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Acta Scientiarum. Animal Sciences (Online) |
Texto Completo: | https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/10934 |
Resumo: | Assuming that selection in closed herds can promote reduction in additive genetic variance, multiple regression models were used to estimate this change in additive genetic (co)variance component, over the years when the selection was done. Weights at 550 days (W550) were studied using simulated data of herds submitted to 20 years of selection. (Co)variance components were estimated assuming that the weight at 550 days was a new trait every five years, by multiple-trait analyses involving four traits in the animal model. Three multiple regression equations were fitted—RMI, RMM, RMF—estimating thus the additive genetic (co)variance components for the 20 years of selection and eight years prior to the selection process. The initial years of each generation of selection were used as a covariate in the RMI. In the RMM, intermediate years were used, and the final years were considered in the RMF. The equations showed high coefficients of determination. However, there was no difference in the adjustment between the models. It was observed that the multiple regression models can be used in the estimation of genetic (co)variance components, when heteroscedasticity is assumed over time due to the selection process. |
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Acta Scientiarum. Animal Sciences (Online) |
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Heterogeneous genetic (co)variances in simulated closed herds under selection - 10.4025/actascianimsci.v34i1.10934(co)variance componentsheteroscedasticityBayesian inferencemultiple regressionAssuming that selection in closed herds can promote reduction in additive genetic variance, multiple regression models were used to estimate this change in additive genetic (co)variance component, over the years when the selection was done. Weights at 550 days (W550) were studied using simulated data of herds submitted to 20 years of selection. (Co)variance components were estimated assuming that the weight at 550 days was a new trait every five years, by multiple-trait analyses involving four traits in the animal model. Three multiple regression equations were fitted—RMI, RMM, RMF—estimating thus the additive genetic (co)variance components for the 20 years of selection and eight years prior to the selection process. The initial years of each generation of selection were used as a covariate in the RMI. In the RMM, intermediate years were used, and the final years were considered in the RMF. The equations showed high coefficients of determination. However, there was no difference in the adjustment between the models. It was observed that the multiple regression models can be used in the estimation of genetic (co)variance components, when heteroscedasticity is assumed over time due to the selection process.Editora da Universidade Estadual de Maringá2011-06-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionpesquisa de campoapplication/pdfapplication/pdfhttps://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/1093410.4025/actascianimsci.v34i1.10934Acta Scientiarum. Animal Sciences; Vol 34 No 1 (2012); 83-90Acta Scientiarum. Animal Sciences; v. 34 n. 1 (2012); 83-901807-86721806-2636reponame:Acta Scientiarum. Animal Sciences (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporenghttps://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/10934/pdfhttps://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/10934/pdf_1Lino-Lourenço, Daniela AndressaOliveira, Carlos Antonio Lopes deMartins, Elias NunesLeite, Meiby Carneiro de PaulaMaia, Fabiana Martins CostaSantos, Alexandra Inês dosinfo:eu-repo/semantics/openAccess2024-05-17T13:04:24Zoai:periodicos.uem.br/ojs:article/10934Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAnimSciPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAnimSci/oaiactaanim@uem.br||actaanim@uem.br|| rev.acta@gmail.com1807-86721806-2636opendoar:2024-05-17T13:04:24Acta Scientiarum. Animal Sciences (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Heterogeneous genetic (co)variances in simulated closed herds under selection - 10.4025/actascianimsci.v34i1.10934 |
title |
Heterogeneous genetic (co)variances in simulated closed herds under selection - 10.4025/actascianimsci.v34i1.10934 |
spellingShingle |
Heterogeneous genetic (co)variances in simulated closed herds under selection - 10.4025/actascianimsci.v34i1.10934 Lino-Lourenço, Daniela Andressa (co)variance components heteroscedasticity Bayesian inference multiple regression |
title_short |
Heterogeneous genetic (co)variances in simulated closed herds under selection - 10.4025/actascianimsci.v34i1.10934 |
title_full |
Heterogeneous genetic (co)variances in simulated closed herds under selection - 10.4025/actascianimsci.v34i1.10934 |
title_fullStr |
Heterogeneous genetic (co)variances in simulated closed herds under selection - 10.4025/actascianimsci.v34i1.10934 |
title_full_unstemmed |
Heterogeneous genetic (co)variances in simulated closed herds under selection - 10.4025/actascianimsci.v34i1.10934 |
title_sort |
Heterogeneous genetic (co)variances in simulated closed herds under selection - 10.4025/actascianimsci.v34i1.10934 |
author |
Lino-Lourenço, Daniela Andressa |
author_facet |
Lino-Lourenço, Daniela Andressa Oliveira, Carlos Antonio Lopes de Martins, Elias Nunes Leite, Meiby Carneiro de Paula Maia, Fabiana Martins Costa Santos, Alexandra Inês dos |
author_role |
author |
author2 |
Oliveira, Carlos Antonio Lopes de Martins, Elias Nunes Leite, Meiby Carneiro de Paula Maia, Fabiana Martins Costa Santos, Alexandra Inês dos |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Lino-Lourenço, Daniela Andressa Oliveira, Carlos Antonio Lopes de Martins, Elias Nunes Leite, Meiby Carneiro de Paula Maia, Fabiana Martins Costa Santos, Alexandra Inês dos |
dc.subject.por.fl_str_mv |
(co)variance components heteroscedasticity Bayesian inference multiple regression |
topic |
(co)variance components heteroscedasticity Bayesian inference multiple regression |
description |
Assuming that selection in closed herds can promote reduction in additive genetic variance, multiple regression models were used to estimate this change in additive genetic (co)variance component, over the years when the selection was done. Weights at 550 days (W550) were studied using simulated data of herds submitted to 20 years of selection. (Co)variance components were estimated assuming that the weight at 550 days was a new trait every five years, by multiple-trait analyses involving four traits in the animal model. Three multiple regression equations were fitted—RMI, RMM, RMF—estimating thus the additive genetic (co)variance components for the 20 years of selection and eight years prior to the selection process. The initial years of each generation of selection were used as a covariate in the RMI. In the RMM, intermediate years were used, and the final years were considered in the RMF. The equations showed high coefficients of determination. However, there was no difference in the adjustment between the models. It was observed that the multiple regression models can be used in the estimation of genetic (co)variance components, when heteroscedasticity is assumed over time due to the selection process. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-06-09 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion pesquisa de campo |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/10934 10.4025/actascianimsci.v34i1.10934 |
url |
https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/10934 |
identifier_str_mv |
10.4025/actascianimsci.v34i1.10934 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/10934/pdf https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/10934/pdf_1 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Editora da Universidade Estadual de Maringá |
publisher.none.fl_str_mv |
Editora da Universidade Estadual de Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Animal Sciences; Vol 34 No 1 (2012); 83-90 Acta Scientiarum. Animal Sciences; v. 34 n. 1 (2012); 83-90 1807-8672 1806-2636 reponame:Acta Scientiarum. Animal Sciences (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta Scientiarum. Animal Sciences (Online) |
collection |
Acta Scientiarum. Animal Sciences (Online) |
repository.name.fl_str_mv |
Acta Scientiarum. Animal Sciences (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
actaanim@uem.br||actaanim@uem.br|| rev.acta@gmail.com |
_version_ |
1799315360213630976 |