Bayesian estimation in maternally ancestral animal models for weaning weight of beef cattle

Autores
Suárez, M. J.; Cantet, Rodolfo Juan Carlos
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The Bayesian approach was implemented for fitting several maternally ancestral models for weaning weight data of Angus calves. The goal was to evaluate to what extent genetic evaluation models with additive grand maternal effects (G), or with an ancestrally structured covariance matrix for maternal environmental effects (E), or with a sire × year interaction (ISY), or combinations thereof (GE, GSY, ESY, GESY), redistribute the additive variability and reduce the negative magnitude of the additive correlation between direct and maternal effects (rAoAm), when compared with the regular maternal animal model (I). All animals with records had known dams and maternal granddams. The sampling scheme induced low autocorrelations among all variables and tended to converge quickly. The signs of the estimates of rAoAm were consistently negative for all models fitted. The magnitudes of the estimates of rAoAm from models E, G, GE, ESY, and GESY were almost one-third of those from models I and ISY. Inclusion of the sire × year interaction had some effect in reducing the negative magnitude of rAoAm, but also reduced the size of the estimates of direct (ho 2) and maternal ( hm 2) heritabilities. In comparison, models E or G reduced the negative magnitude of rAoAm by 0.50 units and produced more favorable estimates of ho 2 and hm 2 than models I and ISY. The estimate of ho 2 from G was similar to the one from I; however, the estimated hm 2 was 0.04 units greater, whereas the estimate of rAoAm was much less negative (−0.21 vs. −0.71) than the respective estimates from I. The environmental correlation between the weaning weights of dams and their daughters (λ) was estimated to be −0.28 ± 0.03 in E and ESY, and −0.21 ± 0.03 in GE and GESY. Inclusion of the sire × year interaction effect by itself did not have much of an impact in the reduction of the estimated magnitude of rAoAm. Rank correlations among EBV for direct effects were larger than 0.94 and did not show any appreciable difference among models, whereas the rank correlation among maternal breeding values displayed differences in the ranking between I and the other models. Models E and ESY recovered the largest amount of total additive variability with maternal effects.
Fil: Suárez, M. J.. Universidad de Buenos Aires. Facultad de Agronomia. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cantet, Rodolfo Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomia. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; Argentina
Materia
BAYESIAN ESTIMATION
BEEF CATTLE
GRAND MATERNAL ADDITIVE EFFECTS
MATERNAL EFFECTS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/15720

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oai_identifier_str oai:ri.conicet.gov.ar:11336/15720
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Bayesian estimation in maternally ancestral animal models for weaning weight of beef cattleSuárez, M. J.Cantet, Rodolfo Juan CarlosBAYESIAN ESTIMATIONBEEF CATTLEGRAND MATERNAL ADDITIVE EFFECTSMATERNAL EFFECTShttps://purl.org/becyt/ford/4.2https://purl.org/becyt/ford/4The Bayesian approach was implemented for fitting several maternally ancestral models for weaning weight data of Angus calves. The goal was to evaluate to what extent genetic evaluation models with additive grand maternal effects (G), or with an ancestrally structured covariance matrix for maternal environmental effects (E), or with a sire × year interaction (ISY), or combinations thereof (GE, GSY, ESY, GESY), redistribute the additive variability and reduce the negative magnitude of the additive correlation between direct and maternal effects (rAoAm), when compared with the regular maternal animal model (I). All animals with records had known dams and maternal granddams. The sampling scheme induced low autocorrelations among all variables and tended to converge quickly. The signs of the estimates of rAoAm were consistently negative for all models fitted. The magnitudes of the estimates of rAoAm from models E, G, GE, ESY, and GESY were almost one-third of those from models I and ISY. Inclusion of the sire × year interaction had some effect in reducing the negative magnitude of rAoAm, but also reduced the size of the estimates of direct (ho 2) and maternal ( hm 2) heritabilities. In comparison, models E or G reduced the negative magnitude of rAoAm by 0.50 units and produced more favorable estimates of ho 2 and hm 2 than models I and ISY. The estimate of ho 2 from G was similar to the one from I; however, the estimated hm 2 was 0.04 units greater, whereas the estimate of rAoAm was much less negative (−0.21 vs. −0.71) than the respective estimates from I. The environmental correlation between the weaning weights of dams and their daughters (λ) was estimated to be −0.28 ± 0.03 in E and ESY, and −0.21 ± 0.03 in GE and GESY. Inclusion of the sire × year interaction effect by itself did not have much of an impact in the reduction of the estimated magnitude of rAoAm. Rank correlations among EBV for direct effects were larger than 0.94 and did not show any appreciable difference among models, whereas the rank correlation among maternal breeding values displayed differences in the ranking between I and the other models. Models E and ESY recovered the largest amount of total additive variability with maternal effects.Fil: Suárez, M. J.. Universidad de Buenos Aires. Facultad de Agronomia. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cantet, Rodolfo Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomia. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; ArgentinaAmerican Society Of Animal Science2011-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/15720Suárez, M. J.; Cantet, Rodolfo Juan Carlos; Bayesian estimation in maternally ancestral animal models for weaning weight of beef cattle; American Society Of Animal Science; Journal Of Animal Science; 89; 12; 12-2011; 3859-38710021-8812enginfo:eu-repo/semantics/altIdentifier/url/https://www.animalsciencepublications.org/publications/jas/articles/89/12/3859info:eu-repo/semantics/altIdentifier/doi/10.2527/jas.2010-3810info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:35:04Zoai:ri.conicet.gov.ar:11336/15720instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:35:04.801CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Bayesian estimation in maternally ancestral animal models for weaning weight of beef cattle
title Bayesian estimation in maternally ancestral animal models for weaning weight of beef cattle
spellingShingle Bayesian estimation in maternally ancestral animal models for weaning weight of beef cattle
Suárez, M. J.
BAYESIAN ESTIMATION
BEEF CATTLE
GRAND MATERNAL ADDITIVE EFFECTS
MATERNAL EFFECTS
title_short Bayesian estimation in maternally ancestral animal models for weaning weight of beef cattle
title_full Bayesian estimation in maternally ancestral animal models for weaning weight of beef cattle
title_fullStr Bayesian estimation in maternally ancestral animal models for weaning weight of beef cattle
title_full_unstemmed Bayesian estimation in maternally ancestral animal models for weaning weight of beef cattle
title_sort Bayesian estimation in maternally ancestral animal models for weaning weight of beef cattle
dc.creator.none.fl_str_mv Suárez, M. J.
Cantet, Rodolfo Juan Carlos
author Suárez, M. J.
author_facet Suárez, M. J.
Cantet, Rodolfo Juan Carlos
author_role author
author2 Cantet, Rodolfo Juan Carlos
author2_role author
dc.subject.none.fl_str_mv BAYESIAN ESTIMATION
BEEF CATTLE
GRAND MATERNAL ADDITIVE EFFECTS
MATERNAL EFFECTS
topic BAYESIAN ESTIMATION
BEEF CATTLE
GRAND MATERNAL ADDITIVE EFFECTS
MATERNAL EFFECTS
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.2
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv The Bayesian approach was implemented for fitting several maternally ancestral models for weaning weight data of Angus calves. The goal was to evaluate to what extent genetic evaluation models with additive grand maternal effects (G), or with an ancestrally structured covariance matrix for maternal environmental effects (E), or with a sire × year interaction (ISY), or combinations thereof (GE, GSY, ESY, GESY), redistribute the additive variability and reduce the negative magnitude of the additive correlation between direct and maternal effects (rAoAm), when compared with the regular maternal animal model (I). All animals with records had known dams and maternal granddams. The sampling scheme induced low autocorrelations among all variables and tended to converge quickly. The signs of the estimates of rAoAm were consistently negative for all models fitted. The magnitudes of the estimates of rAoAm from models E, G, GE, ESY, and GESY were almost one-third of those from models I and ISY. Inclusion of the sire × year interaction had some effect in reducing the negative magnitude of rAoAm, but also reduced the size of the estimates of direct (ho 2) and maternal ( hm 2) heritabilities. In comparison, models E or G reduced the negative magnitude of rAoAm by 0.50 units and produced more favorable estimates of ho 2 and hm 2 than models I and ISY. The estimate of ho 2 from G was similar to the one from I; however, the estimated hm 2 was 0.04 units greater, whereas the estimate of rAoAm was much less negative (−0.21 vs. −0.71) than the respective estimates from I. The environmental correlation between the weaning weights of dams and their daughters (λ) was estimated to be −0.28 ± 0.03 in E and ESY, and −0.21 ± 0.03 in GE and GESY. Inclusion of the sire × year interaction effect by itself did not have much of an impact in the reduction of the estimated magnitude of rAoAm. Rank correlations among EBV for direct effects were larger than 0.94 and did not show any appreciable difference among models, whereas the rank correlation among maternal breeding values displayed differences in the ranking between I and the other models. Models E and ESY recovered the largest amount of total additive variability with maternal effects.
Fil: Suárez, M. J.. Universidad de Buenos Aires. Facultad de Agronomia. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cantet, Rodolfo Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomia. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; Argentina
description The Bayesian approach was implemented for fitting several maternally ancestral models for weaning weight data of Angus calves. The goal was to evaluate to what extent genetic evaluation models with additive grand maternal effects (G), or with an ancestrally structured covariance matrix for maternal environmental effects (E), or with a sire × year interaction (ISY), or combinations thereof (GE, GSY, ESY, GESY), redistribute the additive variability and reduce the negative magnitude of the additive correlation between direct and maternal effects (rAoAm), when compared with the regular maternal animal model (I). All animals with records had known dams and maternal granddams. The sampling scheme induced low autocorrelations among all variables and tended to converge quickly. The signs of the estimates of rAoAm were consistently negative for all models fitted. The magnitudes of the estimates of rAoAm from models E, G, GE, ESY, and GESY were almost one-third of those from models I and ISY. Inclusion of the sire × year interaction had some effect in reducing the negative magnitude of rAoAm, but also reduced the size of the estimates of direct (ho 2) and maternal ( hm 2) heritabilities. In comparison, models E or G reduced the negative magnitude of rAoAm by 0.50 units and produced more favorable estimates of ho 2 and hm 2 than models I and ISY. The estimate of ho 2 from G was similar to the one from I; however, the estimated hm 2 was 0.04 units greater, whereas the estimate of rAoAm was much less negative (−0.21 vs. −0.71) than the respective estimates from I. The environmental correlation between the weaning weights of dams and their daughters (λ) was estimated to be −0.28 ± 0.03 in E and ESY, and −0.21 ± 0.03 in GE and GESY. Inclusion of the sire × year interaction effect by itself did not have much of an impact in the reduction of the estimated magnitude of rAoAm. Rank correlations among EBV for direct effects were larger than 0.94 and did not show any appreciable difference among models, whereas the rank correlation among maternal breeding values displayed differences in the ranking between I and the other models. Models E and ESY recovered the largest amount of total additive variability with maternal effects.
publishDate 2011
dc.date.none.fl_str_mv 2011-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/15720
Suárez, M. J.; Cantet, Rodolfo Juan Carlos; Bayesian estimation in maternally ancestral animal models for weaning weight of beef cattle; American Society Of Animal Science; Journal Of Animal Science; 89; 12; 12-2011; 3859-3871
0021-8812
url http://hdl.handle.net/11336/15720
identifier_str_mv Suárez, M. J.; Cantet, Rodolfo Juan Carlos; Bayesian estimation in maternally ancestral animal models for weaning weight of beef cattle; American Society Of Animal Science; Journal Of Animal Science; 89; 12; 12-2011; 3859-3871
0021-8812
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.animalsciencepublications.org/publications/jas/articles/89/12/3859
info:eu-repo/semantics/altIdentifier/doi/10.2527/jas.2010-3810
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Society Of Animal Science
publisher.none.fl_str_mv American Society Of Animal Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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