Heterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference.
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1154971 https://doi.org/10.1371/journal.pone.0288257 |
Resumo: | The goal of this study was to verify the effect of heterogeneity of variance (HV) on milk production in up to 305 days of lactation (L305) of daughters of Girolando, Gir and Holstein sires, as well as in the genetic evaluation of these sires and their progenies. in Brazil. The model included contemporary groups (consisting of herd, year and calving season) as a fixed effect, cow age at calving (linear and quadratic effects) and heterozygosity (linear effect) as covariates, in addition to the random effects of direct additive genetic and environmental, permanent and residual. The first analysis consisted of the single-trait animal model, with L305 records (disregarding HV). The second considered classes of standard deviations (SD): two-trait model including low and high classes (considering HV), according to the standardized means of L305 for herd-year of calving. The low SD class was composed of herds with SD equal to or less than zero and the high class with positive SD values. Estimates of (co)variance components and breeding values were obtained separately for each scenario using Bayesian inference via Gibbs sampling. Different heritability was estimated. Higher for the high DP class in the Gir (0.20) and Holstein (0.15) breeds, not occurring the same in the Girolando breed, with a lower value among the classes for the high DP (0.10). High values of genetic correlations were also found between low and high SD classes (0.88; 0.85 and 0.79) for the Girolando, Gir and Holstein breeds, respectively. Like the order correlations (Spearman) which were also high for the three breeds analyzed (equal to or above 0.92). Thus, the presence of HV had a smaller impact for L305 and did not affect the genetic evaluation of sires. |
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Heterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference.BovinoGado LeiteiroGenética AnimalProdução LeiteiraDairy cattleAnimal geneticsThe goal of this study was to verify the effect of heterogeneity of variance (HV) on milk production in up to 305 days of lactation (L305) of daughters of Girolando, Gir and Holstein sires, as well as in the genetic evaluation of these sires and their progenies. in Brazil. The model included contemporary groups (consisting of herd, year and calving season) as a fixed effect, cow age at calving (linear and quadratic effects) and heterozygosity (linear effect) as covariates, in addition to the random effects of direct additive genetic and environmental, permanent and residual. The first analysis consisted of the single-trait animal model, with L305 records (disregarding HV). The second considered classes of standard deviations (SD): two-trait model including low and high classes (considering HV), according to the standardized means of L305 for herd-year of calving. The low SD class was composed of herds with SD equal to or less than zero and the high class with positive SD values. Estimates of (co)variance components and breeding values were obtained separately for each scenario using Bayesian inference via Gibbs sampling. Different heritability was estimated. Higher for the high DP class in the Gir (0.20) and Holstein (0.15) breeds, not occurring the same in the Girolando breed, with a lower value among the classes for the high DP (0.10). High values of genetic correlations were also found between low and high SD classes (0.88; 0.85 and 0.79) for the Girolando, Gir and Holstein breeds, respectively. Like the order correlations (Spearman) which were also high for the three breeds analyzed (equal to or above 0.92). Thus, the presence of HV had a smaller impact for L305 and did not affect the genetic evaluation of sires.RAIMUNDO NONATO COLARES CAMARGO JUNIOR, Universidade Federal do Pará; LUANE DA SILVA FERNANDES, Universidade Federal do Mato Grosso; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; CLAUDIO VIEIRA DE ARAUJO, Universidade Federal do Mato Grosso; ANDRE GUIMARÃES MACIEL E SILVA, Universidade Federal do Pará; JOSE RIBAMAR FELIPE MARQUES, CPATU; WELLIGTON CONCEICÃO DA SILVA, Universidade Federal do Pará; SIMONE INOE DE ARAUJO, Universidade Federal do Mato Grosso; SAMIA RUBIELLE SILVA DE CASTRO, Harvard Center for Comparative Medicine; LILIAN KATIA XIMENES SILVA, Universidade Federal do Pará; SIMONE VIEIRA CASTRO, UniCatólica-Centro Universitário Católico de Tocantins; JOSE DE BRITO LOURENÇO JUNIOR, Universidade Federal do Pará.CAMARGO JUNIOR, R. N. C.FERNANDES, L. da S.PANETTO, J. C. do C.SILVA, M. V. G. B.ARAUJO, C. V. deSILVA, A. G. M. eMARQUES, J. R. F.SILVA, W. C. daARAUJO, S. I. deCASTRO, S. R. S. deSILVA, L. K. X.CASTRO, S. V.LOURENÇO JUNIOR, J. de B.2023-07-17T16:23:52Z2023-07-17T16:23:52Z2023-07-172023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePLoS ONE, v. 18, n. 7, e0288257, 2023.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1154971https://doi.org/10.1371/journal.pone.0288257enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2023-07-17T16:23:52Zoai:www.alice.cnptia.embrapa.br:doc/1154971Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542023-07-17T16:23:52falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-07-17T16:23:52Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Heterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference. |
title |
Heterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference. |
spellingShingle |
Heterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference. CAMARGO JUNIOR, R. N. C. Bovino Gado Leiteiro Genética Animal Produção Leiteira Dairy cattle Animal genetics |
title_short |
Heterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference. |
title_full |
Heterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference. |
title_fullStr |
Heterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference. |
title_full_unstemmed |
Heterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference. |
title_sort |
Heterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference. |
author |
CAMARGO JUNIOR, R. N. C. |
author_facet |
CAMARGO JUNIOR, R. N. C. FERNANDES, L. da S. PANETTO, J. C. do C. SILVA, M. V. G. B. ARAUJO, C. V. de SILVA, A. G. M. e MARQUES, J. R. F. SILVA, W. C. da ARAUJO, S. I. de CASTRO, S. R. S. de SILVA, L. K. X. CASTRO, S. V. LOURENÇO JUNIOR, J. de B. |
author_role |
author |
author2 |
FERNANDES, L. da S. PANETTO, J. C. do C. SILVA, M. V. G. B. ARAUJO, C. V. de SILVA, A. G. M. e MARQUES, J. R. F. SILVA, W. C. da ARAUJO, S. I. de CASTRO, S. R. S. de SILVA, L. K. X. CASTRO, S. V. LOURENÇO JUNIOR, J. de B. |
author2_role |
author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
RAIMUNDO NONATO COLARES CAMARGO JUNIOR, Universidade Federal do Pará; LUANE DA SILVA FERNANDES, Universidade Federal do Mato Grosso; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; CLAUDIO VIEIRA DE ARAUJO, Universidade Federal do Mato Grosso; ANDRE GUIMARÃES MACIEL E SILVA, Universidade Federal do Pará; JOSE RIBAMAR FELIPE MARQUES, CPATU; WELLIGTON CONCEICÃO DA SILVA, Universidade Federal do Pará; SIMONE INOE DE ARAUJO, Universidade Federal do Mato Grosso; SAMIA RUBIELLE SILVA DE CASTRO, Harvard Center for Comparative Medicine; LILIAN KATIA XIMENES SILVA, Universidade Federal do Pará; SIMONE VIEIRA CASTRO, UniCatólica-Centro Universitário Católico de Tocantins; JOSE DE BRITO LOURENÇO JUNIOR, Universidade Federal do Pará. |
dc.contributor.author.fl_str_mv |
CAMARGO JUNIOR, R. N. C. FERNANDES, L. da S. PANETTO, J. C. do C. SILVA, M. V. G. B. ARAUJO, C. V. de SILVA, A. G. M. e MARQUES, J. R. F. SILVA, W. C. da ARAUJO, S. I. de CASTRO, S. R. S. de SILVA, L. K. X. CASTRO, S. V. LOURENÇO JUNIOR, J. de B. |
dc.subject.por.fl_str_mv |
Bovino Gado Leiteiro Genética Animal Produção Leiteira Dairy cattle Animal genetics |
topic |
Bovino Gado Leiteiro Genética Animal Produção Leiteira Dairy cattle Animal genetics |
description |
The goal of this study was to verify the effect of heterogeneity of variance (HV) on milk production in up to 305 days of lactation (L305) of daughters of Girolando, Gir and Holstein sires, as well as in the genetic evaluation of these sires and their progenies. in Brazil. The model included contemporary groups (consisting of herd, year and calving season) as a fixed effect, cow age at calving (linear and quadratic effects) and heterozygosity (linear effect) as covariates, in addition to the random effects of direct additive genetic and environmental, permanent and residual. The first analysis consisted of the single-trait animal model, with L305 records (disregarding HV). The second considered classes of standard deviations (SD): two-trait model including low and high classes (considering HV), according to the standardized means of L305 for herd-year of calving. The low SD class was composed of herds with SD equal to or less than zero and the high class with positive SD values. Estimates of (co)variance components and breeding values were obtained separately for each scenario using Bayesian inference via Gibbs sampling. Different heritability was estimated. Higher for the high DP class in the Gir (0.20) and Holstein (0.15) breeds, not occurring the same in the Girolando breed, with a lower value among the classes for the high DP (0.10). High values of genetic correlations were also found between low and high SD classes (0.88; 0.85 and 0.79) for the Girolando, Gir and Holstein breeds, respectively. Like the order correlations (Spearman) which were also high for the three breeds analyzed (equal to or above 0.92). Thus, the presence of HV had a smaller impact for L305 and did not affect the genetic evaluation of sires. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-17T16:23:52Z 2023-07-17T16:23:52Z 2023-07-17 2023 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
PLoS ONE, v. 18, n. 7, e0288257, 2023. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1154971 https://doi.org/10.1371/journal.pone.0288257 |
identifier_str_mv |
PLoS ONE, v. 18, n. 7, e0288257, 2023. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1154971 https://doi.org/10.1371/journal.pone.0288257 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503547371388928 |