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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/199025
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3498 |
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CONICET Digital (CONICET) |
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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1844614192618799104 |
score |
13.070432 |