Heterogeneity and genetic evaluation in bovines, a study using simulated data - DOI: 10.4025/actascianimsci.v30i1.3621
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Acta Scientiarum. Animal Sciences (Online) |
Texto Completo: | https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/3621 |
Resumo: | In order to study the effects of heterogeneity on bovine genetic evaluation, several structures of data were simulated with heterogeneity for different parameters, with and without genetic connexity among herds. The Genesys software was used to generate the data and the MTDFREML metodology was employed to analyze this data. The lowest values of the rank correlations (Spearman correlation) were obtained for the data structure of herds with heterogeneity for all parameters. For the structures of data with similar genetic means and heterogeneity for others parameters, the correlations between breeding values were greater than 70% and near those obtained for data without heterogeneity, which indicates that the heterogeneity for variances and phenotypic mean has little effect on genetic evaluation. The high genetic connexity of data improved the prediction of breeding values of bulls, but this effect was not noted for progenies and, mainly, the genetic evaluation of cows. The rank correlations based on predictions from single and multiple traits analysis were very similar, indicating that the multiple trait analysis was not efficient in eliminating the problems of genetic means heterogeneity. |
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Heterogeneity and genetic evaluation in bovines, a study using simulated data - DOI: 10.4025/actascianimsci.v30i1.3621Heterogeneidade e avaliação genética em bovinos, estudo utilizando dados simulados - DOI: 10.4025/actascianimsci.v30i1.3621conexidadecorrelação de ordemestrutura de dadossimulação5.05.04.00-2 Reprodução AnimalIn order to study the effects of heterogeneity on bovine genetic evaluation, several structures of data were simulated with heterogeneity for different parameters, with and without genetic connexity among herds. The Genesys software was used to generate the data and the MTDFREML metodology was employed to analyze this data. The lowest values of the rank correlations (Spearman correlation) were obtained for the data structure of herds with heterogeneity for all parameters. For the structures of data with similar genetic means and heterogeneity for others parameters, the correlations between breeding values were greater than 70% and near those obtained for data without heterogeneity, which indicates that the heterogeneity for variances and phenotypic mean has little effect on genetic evaluation. The high genetic connexity of data improved the prediction of breeding values of bulls, but this effect was not noted for progenies and, mainly, the genetic evaluation of cows. The rank correlations based on predictions from single and multiple traits analysis were very similar, indicating that the multiple trait analysis was not efficient in eliminating the problems of genetic means heterogeneity.Para estudar os efeitos de heterogeneidade sobre a avaliação genética de bovinos, foram simuladas várias estruturas de dados com heterogeneidade para diferentes parâmetros, com e sem conexidade genética entre rebanhos. O “software” Genesys foi usado para gerar os dados e a metodologia MTDFREML para analisar estes dados. Os valores mais baixos de correlações de ordem (correlação de Spearman) entre valores genéticos verdadeiros e preditos foram obtidos para a estrutura de dados em que os rebanhos apresentavam heterogeneidade para todos os parâmetros. Para as estruturas de dados com médias genéticas similares e heterogeneidade para outros parâmetros, as correlações entre valores genéticos foram superiores a 70% e próximas às obtidas para dados sem heterogeneidade, indicando que a heterogeneidade para variâncias e média fenotípica tem pequeno efeito sobre a avaliação genética. A alta conexidade genética dos dados melhorou a predição dos valores genéticos de touros, mas este efeito não foi notado na avaliação genética das progênies e, principalmente, das vacas. As correlações de ordem calculadas com base nas predições das análises de característica única e de características múltiplas foram muito semelhantes, indicando que a análise de características múltiplas não foi eficiente para eliminar os problemas de heterogeneidade para média genética.Editora da Universidade Estadual de Maringá2008-06-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/362110.4025/actascianimsci.v30i1.3621Acta Scientiarum. Animal Sciences; Vol 30 No 1 (2008); 113-119Acta Scientiarum. Animal Sciences; v. 30 n. 1 (2008); 113-1191807-86721806-2636reponame:Acta Scientiarum. Animal Sciences (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporhttps://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/3621/2674Carneiro, Antonio Souza PolicarpoTorres, Robledo de AlmeidaLopes, Paulo SávioEuclydes, Ricardo FredericoCarneiro, Paulo Luiz SouzaSilva, Fabyano Fonseca einfo:eu-repo/semantics/openAccess2024-05-17T13:03:55Zoai:periodicos.uem.br/ojs:article/3621Revistahttp://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:2024-05-17T13:03:55Acta Scientiarum. Animal Sciences (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Heterogeneity and genetic evaluation in bovines, a study using simulated data - DOI: 10.4025/actascianimsci.v30i1.3621 Heterogeneidade e avaliação genética em bovinos, estudo utilizando dados simulados - DOI: 10.4025/actascianimsci.v30i1.3621 |
title |
Heterogeneity and genetic evaluation in bovines, a study using simulated data - DOI: 10.4025/actascianimsci.v30i1.3621 |
spellingShingle |
Heterogeneity and genetic evaluation in bovines, a study using simulated data - DOI: 10.4025/actascianimsci.v30i1.3621 Carneiro, Antonio Souza Policarpo conexidade correlação de ordem estrutura de dados simulação 5.05.04.00-2 Reprodução Animal |
title_short |
Heterogeneity and genetic evaluation in bovines, a study using simulated data - DOI: 10.4025/actascianimsci.v30i1.3621 |
title_full |
Heterogeneity and genetic evaluation in bovines, a study using simulated data - DOI: 10.4025/actascianimsci.v30i1.3621 |
title_fullStr |
Heterogeneity and genetic evaluation in bovines, a study using simulated data - DOI: 10.4025/actascianimsci.v30i1.3621 |
title_full_unstemmed |
Heterogeneity and genetic evaluation in bovines, a study using simulated data - DOI: 10.4025/actascianimsci.v30i1.3621 |
title_sort |
Heterogeneity and genetic evaluation in bovines, a study using simulated data - DOI: 10.4025/actascianimsci.v30i1.3621 |
author |
Carneiro, Antonio Souza Policarpo |
author_facet |
Carneiro, Antonio Souza Policarpo Torres, Robledo de Almeida Lopes, Paulo Sávio Euclydes, Ricardo Frederico Carneiro, Paulo Luiz Souza Silva, Fabyano Fonseca e |
author_role |
author |
author2 |
Torres, Robledo de Almeida Lopes, Paulo Sávio Euclydes, Ricardo Frederico Carneiro, Paulo Luiz Souza Silva, Fabyano Fonseca e |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Carneiro, Antonio Souza Policarpo Torres, Robledo de Almeida Lopes, Paulo Sávio Euclydes, Ricardo Frederico Carneiro, Paulo Luiz Souza Silva, Fabyano Fonseca e |
dc.subject.por.fl_str_mv |
conexidade correlação de ordem estrutura de dados simulação 5.05.04.00-2 Reprodução Animal |
topic |
conexidade correlação de ordem estrutura de dados simulação 5.05.04.00-2 Reprodução Animal |
description |
In order to study the effects of heterogeneity on bovine genetic evaluation, several structures of data were simulated with heterogeneity for different parameters, with and without genetic connexity among herds. The Genesys software was used to generate the data and the MTDFREML metodology was employed to analyze this data. The lowest values of the rank correlations (Spearman correlation) were obtained for the data structure of herds with heterogeneity for all parameters. For the structures of data with similar genetic means and heterogeneity for others parameters, the correlations between breeding values were greater than 70% and near those obtained for data without heterogeneity, which indicates that the heterogeneity for variances and phenotypic mean has little effect on genetic evaluation. The high genetic connexity of data improved the prediction of breeding values of bulls, but this effect was not noted for progenies and, mainly, the genetic evaluation of cows. The rank correlations based on predictions from single and multiple traits analysis were very similar, indicating that the multiple trait analysis was not efficient in eliminating the problems of genetic means heterogeneity. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-06-13 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/3621 10.4025/actascianimsci.v30i1.3621 |
url |
https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/3621 |
identifier_str_mv |
10.4025/actascianimsci.v30i1.3621 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/3621/2674 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
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 30 No 1 (2008); 113-119 Acta Scientiarum. Animal Sciences; v. 30 n. 1 (2008); 113-119 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_ |
1799315359042371584 |