Estimation of effective population size using bivariate discrete distributions for modeling family size in beef cattle
- Autores
- Garrido, Lenin Ron; Birchmeier, Ana Nélida; Munilla Leguizamon, Sebastian; Cantet, Rodolfo Juan Carlos
- Año de publicación
- 2008
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Pedigree records of 72,808 animals (45,668 females and 27,140 males) from the genetic evaluation program of the Argentine Brangus Association were used to estimate effective number of founders (Nf), effective number of ancestors (Na), and effective population size under random mating (Ne) or selection (NeS), in order to assess genetic variability. The average level of completeness of the pedigree was low (0.17) and the average level of inbreeding (F) calculated from the pedigree was equal to 0.24%. Animals in the reference population were 21,662 calves born from 2001 to 2005. The estimated measures of variability were Nf = 765.7 and Na = 387.5. The numbers of ancestors responsible for 100%, 50%, or 20% of the genes in the reference group, were equal to 12,471, 273, and 22, respectively. Direct estimates of Ne and NeS were calculated using the variances and covariances of family sizes, i.e. male and female progeny numbers for bulls and cows. Estimates of the dispersion parameters were from the Bivariate Poisson model for the cows, and from the Generalized Bivariate Negative Binomial (GBIVARNB) distribution for the bulls. The latter probability mass function accounted for overdispersion, a characteristic present in the sampling distribution of family size of bulls. The estimated variances of male and female progeny and the covariance between them for the bulls were 5.70, 271.28, and 30.15, respectively, and 1.15, 2.10, and 1.06 for the cows. Generation intervals (in years) were: sires of bulls = 5.0, sires of cows = 5.7, dams of bulls = 4.4, and dams of cows = 5.2. The estimated Ne was 274, which corresponds to a rate of inbreeding (F) of 0.18%, whereas NeS = 125 and F = 0.40%. As a check of the proposed methodology, all analyses were also performed using the pedigree records of 10,483 Angus animals from a herd with an average level of completeness of 0.68. Using the GBIVARNB model for both bulls and cows the estimated Ne = 95.4, thus F = 0.5% in perfect agreement with the calculated average inbreeding from pedigree records. Under selection, NeS = 79.3 and F = 0.6%. The larger difference between estimated Ne and NeS in the Brangus was related to the smaller bull to cow ratio in the breed. Therefore, it seems desirable to continue monitoring the effective size of the Argentine Brangus to prevent problems of inbreeding and lack of variability in the future. © 2007 Elsevier B.V. All rights reserved.
Fil: Garrido, Lenin Ron. Universidad de Las Fuerzas Armadas; Ecuador
Fil: Birchmeier, Ana Nélida. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; Argentina
Fil: Munilla Leguizamon, Sebastian. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; 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; Argentina - Materia
-
BIVARIATE DISCRETE DISTRIBUTIONS
BRANGUS
EFFECTIVE POPULATION SIZE
FAMILY SIZE
OVERDISPERSION
SELECTION - 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:11336/131614
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Estimation of effective population size using bivariate discrete distributions for modeling family size in beef cattleGarrido, Lenin RonBirchmeier, Ana NélidaMunilla Leguizamon, SebastianCantet, Rodolfo Juan CarlosBIVARIATE DISCRETE DISTRIBUTIONSBRANGUSEFFECTIVE POPULATION SIZEFAMILY SIZEOVERDISPERSIONSELECTIONhttps://purl.org/becyt/ford/4.2https://purl.org/becyt/ford/4Pedigree records of 72,808 animals (45,668 females and 27,140 males) from the genetic evaluation program of the Argentine Brangus Association were used to estimate effective number of founders (Nf), effective number of ancestors (Na), and effective population size under random mating (Ne) or selection (NeS), in order to assess genetic variability. The average level of completeness of the pedigree was low (0.17) and the average level of inbreeding (F) calculated from the pedigree was equal to 0.24%. Animals in the reference population were 21,662 calves born from 2001 to 2005. The estimated measures of variability were Nf = 765.7 and Na = 387.5. The numbers of ancestors responsible for 100%, 50%, or 20% of the genes in the reference group, were equal to 12,471, 273, and 22, respectively. Direct estimates of Ne and NeS were calculated using the variances and covariances of family sizes, i.e. male and female progeny numbers for bulls and cows. Estimates of the dispersion parameters were from the Bivariate Poisson model for the cows, and from the Generalized Bivariate Negative Binomial (GBIVARNB) distribution for the bulls. The latter probability mass function accounted for overdispersion, a characteristic present in the sampling distribution of family size of bulls. The estimated variances of male and female progeny and the covariance between them for the bulls were 5.70, 271.28, and 30.15, respectively, and 1.15, 2.10, and 1.06 for the cows. Generation intervals (in years) were: sires of bulls = 5.0, sires of cows = 5.7, dams of bulls = 4.4, and dams of cows = 5.2. The estimated Ne was 274, which corresponds to a rate of inbreeding (F) of 0.18%, whereas NeS = 125 and F = 0.40%. As a check of the proposed methodology, all analyses were also performed using the pedigree records of 10,483 Angus animals from a herd with an average level of completeness of 0.68. Using the GBIVARNB model for both bulls and cows the estimated Ne = 95.4, thus F = 0.5% in perfect agreement with the calculated average inbreeding from pedigree records. Under selection, NeS = 79.3 and F = 0.6%. The larger difference between estimated Ne and NeS in the Brangus was related to the smaller bull to cow ratio in the breed. Therefore, it seems desirable to continue monitoring the effective size of the Argentine Brangus to prevent problems of inbreeding and lack of variability in the future. © 2007 Elsevier B.V. All rights reserved.Fil: Garrido, Lenin Ron. Universidad de Las Fuerzas Armadas; EcuadorFil: Birchmeier, Ana Nélida. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; ArgentinaFil: Munilla Leguizamon, Sebastian. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; 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; ArgentinaElsevier Science2008-08info: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/11336/131614Garrido, Lenin Ron; Birchmeier, Ana Nélida; Munilla Leguizamon, Sebastian; Cantet, Rodolfo Juan Carlos; Estimation of effective population size using bivariate discrete distributions for modeling family size in beef cattle; Elsevier Science; Livestock Science; 117; 1; 8-2008; 43-511871-1413CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1871141307005380info:eu-repo/semantics/altIdentifier/doi/10.1016/j.livsci.2007.11.008info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:46:27Zoai:ri.conicet.gov.ar:11336/131614instacron: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 10:46:27.64CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Estimation of effective population size using bivariate discrete distributions for modeling family size in beef cattle |
title |
Estimation of effective population size using bivariate discrete distributions for modeling family size in beef cattle |
spellingShingle |
Estimation of effective population size using bivariate discrete distributions for modeling family size in beef cattle Garrido, Lenin Ron BIVARIATE DISCRETE DISTRIBUTIONS BRANGUS EFFECTIVE POPULATION SIZE FAMILY SIZE OVERDISPERSION SELECTION |
title_short |
Estimation of effective population size using bivariate discrete distributions for modeling family size in beef cattle |
title_full |
Estimation of effective population size using bivariate discrete distributions for modeling family size in beef cattle |
title_fullStr |
Estimation of effective population size using bivariate discrete distributions for modeling family size in beef cattle |
title_full_unstemmed |
Estimation of effective population size using bivariate discrete distributions for modeling family size in beef cattle |
title_sort |
Estimation of effective population size using bivariate discrete distributions for modeling family size in beef cattle |
dc.creator.none.fl_str_mv |
Garrido, Lenin Ron Birchmeier, Ana Nélida Munilla Leguizamon, Sebastian Cantet, Rodolfo Juan Carlos |
author |
Garrido, Lenin Ron |
author_facet |
Garrido, Lenin Ron Birchmeier, Ana Nélida Munilla Leguizamon, Sebastian Cantet, Rodolfo Juan Carlos |
author_role |
author |
author2 |
Birchmeier, Ana Nélida Munilla Leguizamon, Sebastian Cantet, Rodolfo Juan Carlos |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
BIVARIATE DISCRETE DISTRIBUTIONS BRANGUS EFFECTIVE POPULATION SIZE FAMILY SIZE OVERDISPERSION SELECTION |
topic |
BIVARIATE DISCRETE DISTRIBUTIONS BRANGUS EFFECTIVE POPULATION SIZE FAMILY SIZE OVERDISPERSION SELECTION |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/4.2 https://purl.org/becyt/ford/4 |
dc.description.none.fl_txt_mv |
Pedigree records of 72,808 animals (45,668 females and 27,140 males) from the genetic evaluation program of the Argentine Brangus Association were used to estimate effective number of founders (Nf), effective number of ancestors (Na), and effective population size under random mating (Ne) or selection (NeS), in order to assess genetic variability. The average level of completeness of the pedigree was low (0.17) and the average level of inbreeding (F) calculated from the pedigree was equal to 0.24%. Animals in the reference population were 21,662 calves born from 2001 to 2005. The estimated measures of variability were Nf = 765.7 and Na = 387.5. The numbers of ancestors responsible for 100%, 50%, or 20% of the genes in the reference group, were equal to 12,471, 273, and 22, respectively. Direct estimates of Ne and NeS were calculated using the variances and covariances of family sizes, i.e. male and female progeny numbers for bulls and cows. Estimates of the dispersion parameters were from the Bivariate Poisson model for the cows, and from the Generalized Bivariate Negative Binomial (GBIVARNB) distribution for the bulls. The latter probability mass function accounted for overdispersion, a characteristic present in the sampling distribution of family size of bulls. The estimated variances of male and female progeny and the covariance between them for the bulls were 5.70, 271.28, and 30.15, respectively, and 1.15, 2.10, and 1.06 for the cows. Generation intervals (in years) were: sires of bulls = 5.0, sires of cows = 5.7, dams of bulls = 4.4, and dams of cows = 5.2. The estimated Ne was 274, which corresponds to a rate of inbreeding (F) of 0.18%, whereas NeS = 125 and F = 0.40%. As a check of the proposed methodology, all analyses were also performed using the pedigree records of 10,483 Angus animals from a herd with an average level of completeness of 0.68. Using the GBIVARNB model for both bulls and cows the estimated Ne = 95.4, thus F = 0.5% in perfect agreement with the calculated average inbreeding from pedigree records. Under selection, NeS = 79.3 and F = 0.6%. The larger difference between estimated Ne and NeS in the Brangus was related to the smaller bull to cow ratio in the breed. Therefore, it seems desirable to continue monitoring the effective size of the Argentine Brangus to prevent problems of inbreeding and lack of variability in the future. © 2007 Elsevier B.V. All rights reserved. Fil: Garrido, Lenin Ron. Universidad de Las Fuerzas Armadas; Ecuador Fil: Birchmeier, Ana Nélida. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; Argentina Fil: Munilla Leguizamon, Sebastian. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Cátedra de Mejoramiento Genético Animal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; 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; Argentina |
description |
Pedigree records of 72,808 animals (45,668 females and 27,140 males) from the genetic evaluation program of the Argentine Brangus Association were used to estimate effective number of founders (Nf), effective number of ancestors (Na), and effective population size under random mating (Ne) or selection (NeS), in order to assess genetic variability. The average level of completeness of the pedigree was low (0.17) and the average level of inbreeding (F) calculated from the pedigree was equal to 0.24%. Animals in the reference population were 21,662 calves born from 2001 to 2005. The estimated measures of variability were Nf = 765.7 and Na = 387.5. The numbers of ancestors responsible for 100%, 50%, or 20% of the genes in the reference group, were equal to 12,471, 273, and 22, respectively. Direct estimates of Ne and NeS were calculated using the variances and covariances of family sizes, i.e. male and female progeny numbers for bulls and cows. Estimates of the dispersion parameters were from the Bivariate Poisson model for the cows, and from the Generalized Bivariate Negative Binomial (GBIVARNB) distribution for the bulls. The latter probability mass function accounted for overdispersion, a characteristic present in the sampling distribution of family size of bulls. The estimated variances of male and female progeny and the covariance between them for the bulls were 5.70, 271.28, and 30.15, respectively, and 1.15, 2.10, and 1.06 for the cows. Generation intervals (in years) were: sires of bulls = 5.0, sires of cows = 5.7, dams of bulls = 4.4, and dams of cows = 5.2. The estimated Ne was 274, which corresponds to a rate of inbreeding (F) of 0.18%, whereas NeS = 125 and F = 0.40%. As a check of the proposed methodology, all analyses were also performed using the pedigree records of 10,483 Angus animals from a herd with an average level of completeness of 0.68. Using the GBIVARNB model for both bulls and cows the estimated Ne = 95.4, thus F = 0.5% in perfect agreement with the calculated average inbreeding from pedigree records. Under selection, NeS = 79.3 and F = 0.6%. The larger difference between estimated Ne and NeS in the Brangus was related to the smaller bull to cow ratio in the breed. Therefore, it seems desirable to continue monitoring the effective size of the Argentine Brangus to prevent problems of inbreeding and lack of variability in the future. © 2007 Elsevier B.V. All rights reserved. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-08 |
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/11336/131614 Garrido, Lenin Ron; Birchmeier, Ana Nélida; Munilla Leguizamon, Sebastian; Cantet, Rodolfo Juan Carlos; Estimation of effective population size using bivariate discrete distributions for modeling family size in beef cattle; Elsevier Science; Livestock Science; 117; 1; 8-2008; 43-51 1871-1413 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/131614 |
identifier_str_mv |
Garrido, Lenin Ron; Birchmeier, Ana Nélida; Munilla Leguizamon, Sebastian; Cantet, Rodolfo Juan Carlos; Estimation of effective population size using bivariate discrete distributions for modeling family size in beef cattle; Elsevier Science; Livestock Science; 117; 1; 8-2008; 43-51 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/https://www.sciencedirect.com/science/article/pii/S1871141307005380 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.livsci.2007.11.008 |
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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1844614506085351424 |
score |
13.070432 |