Genotype-environment interaction in Brown Swiss dairy cattle - DOI: 10.4025/actascianimsci.v31i2.5197
Autor(a) principal: | |
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Data de Publicação: | 2009 |
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/5197 |
Resumo: | Data from 2,981 first lactation records of Brown Swiss cows, daughters of 151 sires, from 62 herds, calving from 1980 to 2002 were used to evaluate the effects of heterogeneity of variance on genetic evaluation of bulls. The milk yields were used to classify the herds among high and low production level. An animal model used to estimate variance component, included the fixed effect of herds-year, calving season, linear effect of length lactation, linear and quadratic effect of cow age, random effects of animal and temporary environment. Variance components were estimated to milk yield in both levels, considering the milk yield in each production level as a different trait. Estimates of heritability were 0.21 in both levels for milk production and 0.25 and 0.26 for the levels of high and low production, respectively. The genetic correlation between high and low production levels was equal to 0.48. These results showed the presence of heterogeneity of variance. Spearman correlations in breeding values of sires predicted in joint analysis with values in high and low production level were higher; otherwise, the spearman correlations were lower to 10, 20 and 30% of the best sires of the rank. Sires with daughters in more changeable herds would be better ranked in the genetic evaluation, when the heterogeneity of variance is not considered |
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Genotype-environment interaction in Brown Swiss dairy cattle - DOI: 10.4025/actascianimsci.v31i2.5197Interação genótipo x ambiente para produção de leite na raça Pardo Suíço, utilizando-se inferência Bayesiana - DOI: 10.4025/actascianimsci.v31i2.5197genetic evaluationheterogeneitydairy cattlegenetic parametersavaliação genéticaheterogeneidadebovinos leiteirosparâmetros genéticosData from 2,981 first lactation records of Brown Swiss cows, daughters of 151 sires, from 62 herds, calving from 1980 to 2002 were used to evaluate the effects of heterogeneity of variance on genetic evaluation of bulls. The milk yields were used to classify the herds among high and low production level. An animal model used to estimate variance component, included the fixed effect of herds-year, calving season, linear effect of length lactation, linear and quadratic effect of cow age, random effects of animal and temporary environment. Variance components were estimated to milk yield in both levels, considering the milk yield in each production level as a different trait. Estimates of heritability were 0.21 in both levels for milk production and 0.25 and 0.26 for the levels of high and low production, respectively. The genetic correlation between high and low production levels was equal to 0.48. These results showed the presence of heterogeneity of variance. Spearman correlations in breeding values of sires predicted in joint analysis with values in high and low production level were higher; otherwise, the spearman correlations were lower to 10, 20 and 30% of the best sires of the rank. Sires with daughters in more changeable herds would be better ranked in the genetic evaluation, when the heterogeneity of variance is not consideredInformações de 2.981 lactações referentes às primeiras lactações de vacas da raça Pardo-Suíça, filhas de 151 reprodutores, distribuídas em 62 rebanhos, com parições entre 1980 a 2002, foram utilizadas para se verificar a existência da heterogeneidade de variância entre rebanhos e o seu impacto na classificação de reprodutores. As produções de leite foram utilizadas para se classificar os rebanhos em níveis de alta e baixa produção. Utilizou-se um modelo animal que incluiu os efeitos fixos de rebanho-ano e estação de parto, efeito linear do período de lactação, linear e quadrático da idade da vaca ao parto, como covariáveis, além dos efeitos aleatórios de animal e ambiente temporário. Estimaram-se componentes de variância, considerando-se os rebanhos como uma única amostra e assumindo-se a produção de leite em cada nível de produção como característica diferente. Médias e componentes de variância foram maiores para o nível de alta produção, caracterizando a presença de heterogeneidade de variância entre os rebanhos. As estimativas de herdabilidade foram de 0,21 em ambos os níveis para a produção de leite e de 0,25 e 0,26 para os níveis de alta e baixa produção, respectivamente. As correlações genéticas entre os níveis foram de 0,48, indicando a presença de heterogeneidade de variâncias. Correlações de Spearman entre os valores genéticos dos reprodutores preditos em análise conjunta com o nível de alta produção foram altas, enquanto que correlações baixas foram observadas para o nível de produção baixo, para os 10, 20 e 30% dos melhores reprodutores. Reprodutores com proles em rebanhos mais variáveis estariam sendo melhores classificados na avaliação genética, quando se desconsidera a heterogeneidade de variânciaEditora da Universidade Estadual de Maringá2009-08-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/519710.4025/actascianimsci.v31i2.5197Acta Scientiarum. Animal Sciences; Vol 31 No 2 (2009); 205-211Acta Scientiarum. Animal Sciences; v. 31 n. 2 (2009); 205-2111807-86721806-2636reponame:Acta Scientiarum. Animal Sciences (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporhttps://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/5197/5197Araújo, Cláudio Vieira deResende, Gisele Socorro AmaralAraújo, Sinome InoeRennó, Francisco PalmaTomazini, Ana Paula InoeMarques, José Ribamar Felipeinfo:eu-repo/semantics/openAccess2024-05-17T13:04:04Zoai:periodicos.uem.br/ojs:article/5197Revistahttp://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:2024-05-17T13:04:04Acta Scientiarum. Animal Sciences (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Genotype-environment interaction in Brown Swiss dairy cattle - DOI: 10.4025/actascianimsci.v31i2.5197 Interação genótipo x ambiente para produção de leite na raça Pardo Suíço, utilizando-se inferência Bayesiana - DOI: 10.4025/actascianimsci.v31i2.5197 |
title |
Genotype-environment interaction in Brown Swiss dairy cattle - DOI: 10.4025/actascianimsci.v31i2.5197 |
spellingShingle |
Genotype-environment interaction in Brown Swiss dairy cattle - DOI: 10.4025/actascianimsci.v31i2.5197 Araújo, Cláudio Vieira de genetic evaluation heterogeneity dairy cattle genetic parameters avaliação genética heterogeneidade bovinos leiteiros parâmetros genéticos |
title_short |
Genotype-environment interaction in Brown Swiss dairy cattle - DOI: 10.4025/actascianimsci.v31i2.5197 |
title_full |
Genotype-environment interaction in Brown Swiss dairy cattle - DOI: 10.4025/actascianimsci.v31i2.5197 |
title_fullStr |
Genotype-environment interaction in Brown Swiss dairy cattle - DOI: 10.4025/actascianimsci.v31i2.5197 |
title_full_unstemmed |
Genotype-environment interaction in Brown Swiss dairy cattle - DOI: 10.4025/actascianimsci.v31i2.5197 |
title_sort |
Genotype-environment interaction in Brown Swiss dairy cattle - DOI: 10.4025/actascianimsci.v31i2.5197 |
author |
Araújo, Cláudio Vieira de |
author_facet |
Araújo, Cláudio Vieira de Resende, Gisele Socorro Amaral Araújo, Sinome Inoe Rennó, Francisco Palma Tomazini, Ana Paula Inoe Marques, José Ribamar Felipe |
author_role |
author |
author2 |
Resende, Gisele Socorro Amaral Araújo, Sinome Inoe Rennó, Francisco Palma Tomazini, Ana Paula Inoe Marques, José Ribamar Felipe |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Araújo, Cláudio Vieira de Resende, Gisele Socorro Amaral Araújo, Sinome Inoe Rennó, Francisco Palma Tomazini, Ana Paula Inoe Marques, José Ribamar Felipe |
dc.subject.por.fl_str_mv |
genetic evaluation heterogeneity dairy cattle genetic parameters avaliação genética heterogeneidade bovinos leiteiros parâmetros genéticos |
topic |
genetic evaluation heterogeneity dairy cattle genetic parameters avaliação genética heterogeneidade bovinos leiteiros parâmetros genéticos |
description |
Data from 2,981 first lactation records of Brown Swiss cows, daughters of 151 sires, from 62 herds, calving from 1980 to 2002 were used to evaluate the effects of heterogeneity of variance on genetic evaluation of bulls. The milk yields were used to classify the herds among high and low production level. An animal model used to estimate variance component, included the fixed effect of herds-year, calving season, linear effect of length lactation, linear and quadratic effect of cow age, random effects of animal and temporary environment. Variance components were estimated to milk yield in both levels, considering the milk yield in each production level as a different trait. Estimates of heritability were 0.21 in both levels for milk production and 0.25 and 0.26 for the levels of high and low production, respectively. The genetic correlation between high and low production levels was equal to 0.48. These results showed the presence of heterogeneity of variance. Spearman correlations in breeding values of sires predicted in joint analysis with values in high and low production level were higher; otherwise, the spearman correlations were lower to 10, 20 and 30% of the best sires of the rank. Sires with daughters in more changeable herds would be better ranked in the genetic evaluation, when the heterogeneity of variance is not considered |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-08-11 |
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/5197 10.4025/actascianimsci.v31i2.5197 |
url |
https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/5197 |
identifier_str_mv |
10.4025/actascianimsci.v31i2.5197 |
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/5197/5197 |
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 31 No 2 (2009); 205-211 Acta Scientiarum. Animal Sciences; v. 31 n. 2 (2009); 205-211 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_ |
1799315359224823808 |