On parsimonious and equivalent animal models with (grand) maternal effects and missing (grand) dams

Autores
Suárez, María José; Birchmeier, Ana Nélida; Cantet, Rodolfo Juan Carlos
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In breeds where a large fraction of animals with records on a maternally affected trait are from dams that have no records and unknown parents, the genetic evaluation of such trait may be hindered by misspecification of the genetic covariance matrix. The specified covariance structure for the additive direct and maternal effects in the regular maternal animal model (MAM) when dams have no records differs from the covariance between relatives with maternal effects. Two solutions are possible. One is to include in the vectors of breeding values for direct and maternal effects the dam or a "phantom" dam if the latter is unknown. As a consequence, the number of equations to be solved in the MAM may increase considerably. Alternatively, one may replace the maternal breeding value of the dam with 2/3 of the maternal breeding of the individual, and −1/3 of the maternal breeding value of the sire of the individual. As this "regression" of breeding values has been largely ignored, the goal of this paper is to present a parsimonious equivalent MAM using such regression. The approach is extended to a similar situation for models with grand maternal effects. Two small numerical examples are used to illustrate the proposed methods.
Fil: Suárez, María José. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; Argentina
Fil: Birchmeier, Ana Nélida. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; Argentina
Fil: Cantet, Rodolfo Juan Carlos. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario; Argentina
Materia
EQUIVALENT MODELS
GRAND MATERNAL EFFECTS
MATERNAL EFFECTS
MISSING DAMS
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:11336/199025

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spelling On parsimonious and equivalent animal models with (grand) maternal effects and missing (grand) damsSuárez, María JoséBirchmeier, Ana NélidaCantet, Rodolfo Juan CarlosEQUIVALENT MODELSGRAND MATERNAL EFFECTSMATERNAL EFFECTSMISSING DAMShttps://purl.org/becyt/ford/4.2https://purl.org/becyt/ford/4In breeds where a large fraction of animals with records on a maternally affected trait are from dams that have no records and unknown parents, the genetic evaluation of such trait may be hindered by misspecification of the genetic covariance matrix. The specified covariance structure for the additive direct and maternal effects in the regular maternal animal model (MAM) when dams have no records differs from the covariance between relatives with maternal effects. Two solutions are possible. One is to include in the vectors of breeding values for direct and maternal effects the dam or a "phantom" dam if the latter is unknown. As a consequence, the number of equations to be solved in the MAM may increase considerably. Alternatively, one may replace the maternal breeding value of the dam with 2/3 of the maternal breeding of the individual, and −1/3 of the maternal breeding value of the sire of the individual. As this "regression" of breeding values has been largely ignored, the goal of this paper is to present a parsimonious equivalent MAM using such regression. The approach is extended to a similar situation for models with grand maternal effects. Two small numerical examples are used to illustrate the proposed methods.Fil: Suárez, María José. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; ArgentinaFil: Birchmeier, Ana Nélida. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; ArgentinaFil: Cantet, Rodolfo Juan Carlos. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario; ArgentinaElsevier Science2012-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/199025Suárez, María José; Birchmeier, Ana Nélida; Cantet, Rodolfo Juan Carlos; On parsimonious and equivalent animal models with (grand) maternal effects and missing (grand) dams; Elsevier Science; Livestock Science; 150; 1-3; 12-2012; 324-3361871-1413CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.journals.elsevier.com/livestock-science/recent-articles/info:eu-repo/semantics/altIdentifier/doi/10.1016/j.livsci.2012.09.021info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:20:49Zoai:ri.conicet.gov.ar:11336/199025instacron: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 10:20:49.959CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv On parsimonious and equivalent animal models with (grand) maternal effects and missing (grand) dams
title On parsimonious and equivalent animal models with (grand) maternal effects and missing (grand) dams
spellingShingle On parsimonious and equivalent animal models with (grand) maternal effects and missing (grand) dams
Suárez, María José
EQUIVALENT MODELS
GRAND MATERNAL EFFECTS
MATERNAL EFFECTS
MISSING DAMS
title_short On parsimonious and equivalent animal models with (grand) maternal effects and missing (grand) dams
title_full On parsimonious and equivalent animal models with (grand) maternal effects and missing (grand) dams
title_fullStr On parsimonious and equivalent animal models with (grand) maternal effects and missing (grand) dams
title_full_unstemmed On parsimonious and equivalent animal models with (grand) maternal effects and missing (grand) dams
title_sort On parsimonious and equivalent animal models with (grand) maternal effects and missing (grand) dams
dc.creator.none.fl_str_mv Suárez, María José
Birchmeier, Ana Nélida
Cantet, Rodolfo Juan Carlos
author Suárez, María José
author_facet Suárez, María José
Birchmeier, Ana Nélida
Cantet, Rodolfo Juan Carlos
author_role author
author2 Birchmeier, Ana Nélida
Cantet, Rodolfo Juan Carlos
author2_role author
author
dc.subject.none.fl_str_mv EQUIVALENT MODELS
GRAND MATERNAL EFFECTS
MATERNAL EFFECTS
MISSING DAMS
topic EQUIVALENT MODELS
GRAND MATERNAL EFFECTS
MATERNAL EFFECTS
MISSING DAMS
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.2
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv In breeds where a large fraction of animals with records on a maternally affected trait are from dams that have no records and unknown parents, the genetic evaluation of such trait may be hindered by misspecification of the genetic covariance matrix. The specified covariance structure for the additive direct and maternal effects in the regular maternal animal model (MAM) when dams have no records differs from the covariance between relatives with maternal effects. Two solutions are possible. One is to include in the vectors of breeding values for direct and maternal effects the dam or a "phantom" dam if the latter is unknown. As a consequence, the number of equations to be solved in the MAM may increase considerably. Alternatively, one may replace the maternal breeding value of the dam with 2/3 of the maternal breeding of the individual, and −1/3 of the maternal breeding value of the sire of the individual. As this "regression" of breeding values has been largely ignored, the goal of this paper is to present a parsimonious equivalent MAM using such regression. The approach is extended to a similar situation for models with grand maternal effects. Two small numerical examples are used to illustrate the proposed methods.
Fil: Suárez, María José. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; Argentina
Fil: Birchmeier, Ana Nélida. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; Argentina
Fil: Cantet, Rodolfo Juan Carlos. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario; Argentina
description In breeds where a large fraction of animals with records on a maternally affected trait are from dams that have no records and unknown parents, the genetic evaluation of such trait may be hindered by misspecification of the genetic covariance matrix. The specified covariance structure for the additive direct and maternal effects in the regular maternal animal model (MAM) when dams have no records differs from the covariance between relatives with maternal effects. Two solutions are possible. One is to include in the vectors of breeding values for direct and maternal effects the dam or a "phantom" dam if the latter is unknown. As a consequence, the number of equations to be solved in the MAM may increase considerably. Alternatively, one may replace the maternal breeding value of the dam with 2/3 of the maternal breeding of the individual, and −1/3 of the maternal breeding value of the sire of the individual. As this "regression" of breeding values has been largely ignored, the goal of this paper is to present a parsimonious equivalent MAM using such regression. The approach is extended to a similar situation for models with grand maternal effects. Two small numerical examples are used to illustrate the proposed methods.
publishDate 2012
dc.date.none.fl_str_mv 2012-12
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/11336/199025
Suárez, María José; Birchmeier, Ana Nélida; Cantet, Rodolfo Juan Carlos; On parsimonious and equivalent animal models with (grand) maternal effects and missing (grand) dams; Elsevier Science; Livestock Science; 150; 1-3; 12-2012; 324-336
1871-1413
CONICET Digital
CONICET
url http://hdl.handle.net/11336/199025
identifier_str_mv Suárez, María José; Birchmeier, Ana Nélida; Cantet, Rodolfo Juan Carlos; On parsimonious and equivalent animal models with (grand) maternal effects and missing (grand) dams; Elsevier Science; Livestock Science; 150; 1-3; 12-2012; 324-336
1871-1413
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.journals.elsevier.com/livestock-science/recent-articles/
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.livsci.2012.09.021
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
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier 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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