Effect of consanguinity on Argentinean Angus beef DNA traceability

Autores
Baldo, Andres; Rogberg Muñoz, Andres; Prando, Alberto José; Mello Cesar, A.S.; Liron, Juan Pedro; Sorarrain, Nicolas; Ramelli, P.; Posik, Diego Manuel; Pofcher, Enrique Jorge; Ripoli, María Verónica; Beretta, E.; Peral Garcia, Pilar; Vaca, R.; Mariani, P.; Giovambattista, Guillermo
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Since the 1990s several authors have envisaged the use of DNA to certify meat origin. Two major parameters must be assessed before a DNA based traceability protocol can be implemented in the food chain: (i) the information content of a DNA marker set in a specific livestock breed or group of breeds; (ii) the minimum number of DNA markers needed to obtain a statistically acceptable match probability. The objective of the present work was to establish the effect of different levels of inbreeding in the matching efficiency, and the minimum number of microsatellite markers needed, in a DNA based meat traceability program, starting from an 11-microsatellite marker panel. Samples were obtained from beef production farms in South America, where animals are typically bred under pasture-based extensive conditions. Three groups of animals with different consanguinity rates were sampled. Exclusion power (Q) was higher than 0.999998 and match probability lower than 3.01E-08, for the whole set of markers within each group. Both values were affected by consanguinity. To reach a two mismatch criteria exclusion power (Q2) of 99.99, six markers were needed in unrelated animals whereas seven markers were needed in related animals. To reach Q2=99.9999, 8 and 10 microsatellite markers, respectively, were needed. In general, one or two more microsatellite markers were needed to identify consanguineous animals. This study proved the DNA marker set used to be suitable for the identification of the meat from all slaughtered animals in Argentina, per week, month, and year. © 2010 Elsevier Ltd.
Fil: Baldo, Andres. Facultad de Ciencias Veterinarias, Universidad Nacional de la Plata; Argentina
Fil: Rogberg Muñoz, Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina
Fil: Prando, Alberto José. Facultad de Ciencias Veterinarias, Universidad Nacional de la Plata; Argentina
Fil: Mello Cesar, A.S.. Functional Genomics Laboratory; Italia
Fil: Liron, Juan Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina
Fil: Sorarrain, Nicolas. Facultad de Ciencias Veterinarias, Universidad Nacional de la Plata; Argentina
Fil: Ramelli, P.. Functional Genomics Laboratory; Italia
Fil: Posik, Diego Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina
Fil: Pofcher, Enrique Jorge. Facultad de Ciencias Veterinarias, Universidad Nacional de la Plata; Argentina
Fil: Ripoli, María Verónica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina
Fil: Beretta, E.. Consorzio Qualità Della Carne Bovina c/o Coldiretti; Italia
Fil: Peral Garcia, Pilar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina
Fil: Vaca, R.. Facultad de Ciencias Veterinarias, Universidad Nacional de la Plata; Argentina
Fil: Mariani, P.. Functional Genomics Laboratory; Italia
Fil: Giovambattista, Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina
Materia
Bovine
Consanguinity
Dna Typing
Extensive Farming
Traceability
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:11336/79606
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/79606
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network_name_str CONICET Digital (CONICET)
spelling Effect of consanguinity on Argentinean Angus beef DNA traceabilityBaldo, AndresRogberg Muñoz, AndresPrando, Alberto JoséMello Cesar, A.S.Liron, Juan PedroSorarrain, NicolasRamelli, P.Posik, Diego ManuelPofcher, Enrique JorgeRipoli, María VerónicaBeretta, E.Peral Garcia, PilarVaca, R.Mariani, P.Giovambattista, GuillermoBovineConsanguinityDna TypingExtensive FarmingTraceabilityhttps://purl.org/becyt/ford/4.4https://purl.org/becyt/ford/4Since the 1990s several authors have envisaged the use of DNA to certify meat origin. Two major parameters must be assessed before a DNA based traceability protocol can be implemented in the food chain: (i) the information content of a DNA marker set in a specific livestock breed or group of breeds; (ii) the minimum number of DNA markers needed to obtain a statistically acceptable match probability. The objective of the present work was to establish the effect of different levels of inbreeding in the matching efficiency, and the minimum number of microsatellite markers needed, in a DNA based meat traceability program, starting from an 11-microsatellite marker panel. Samples were obtained from beef production farms in South America, where animals are typically bred under pasture-based extensive conditions. Three groups of animals with different consanguinity rates were sampled. Exclusion power (Q) was higher than 0.999998 and match probability lower than 3.01E-08, for the whole set of markers within each group. Both values were affected by consanguinity. To reach a two mismatch criteria exclusion power (Q2) of 99.99, six markers were needed in unrelated animals whereas seven markers were needed in related animals. To reach Q2=99.9999, 8 and 10 microsatellite markers, respectively, were needed. In general, one or two more microsatellite markers were needed to identify consanguineous animals. This study proved the DNA marker set used to be suitable for the identification of the meat from all slaughtered animals in Argentina, per week, month, and year. © 2010 Elsevier Ltd.Fil: Baldo, Andres. Facultad de Ciencias Veterinarias, Universidad Nacional de la Plata; ArgentinaFil: Rogberg Muñoz, Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; ArgentinaFil: Prando, Alberto José. Facultad de Ciencias Veterinarias, Universidad Nacional de la Plata; ArgentinaFil: Mello Cesar, A.S.. Functional Genomics Laboratory; ItaliaFil: Liron, Juan Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; ArgentinaFil: Sorarrain, Nicolas. Facultad de Ciencias Veterinarias, Universidad Nacional de la Plata; ArgentinaFil: Ramelli, P.. Functional Genomics Laboratory; ItaliaFil: Posik, Diego Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; ArgentinaFil: Pofcher, Enrique Jorge. Facultad de Ciencias Veterinarias, Universidad Nacional de la Plata; ArgentinaFil: Ripoli, María Verónica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; ArgentinaFil: Beretta, E.. Consorzio Qualità Della Carne Bovina c/o Coldiretti; ItaliaFil: Peral Garcia, Pilar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; ArgentinaFil: Vaca, R.. Facultad de Ciencias Veterinarias, Universidad Nacional de la Plata; ArgentinaFil: Mariani, P.. Functional Genomics Laboratory; ItaliaFil: Giovambattista, Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; ArgentinaElsevier2010-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/79606Baldo, Andres; Rogberg Muñoz, Andres; Prando, Alberto José; Mello Cesar, A.S.; Liron, Juan Pedro; et al.; Effect of consanguinity on Argentinean Angus beef DNA traceability; Elsevier; Meat Science; 85; 4; 8-2010; 671-6750309-1740CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.meatsci.2010.03.023info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0309174010000951info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:56:04Zoai:ri.conicet.gov.ar:11336/79606instacron: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:34982025-09-03 09:56:04.973CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Effect of consanguinity on Argentinean Angus beef DNA traceability
title Effect of consanguinity on Argentinean Angus beef DNA traceability
spellingShingle Effect of consanguinity on Argentinean Angus beef DNA traceability
Baldo, Andres
Bovine
Consanguinity
Dna Typing
Extensive Farming
Traceability
title_short Effect of consanguinity on Argentinean Angus beef DNA traceability
title_full Effect of consanguinity on Argentinean Angus beef DNA traceability
title_fullStr Effect of consanguinity on Argentinean Angus beef DNA traceability
title_full_unstemmed Effect of consanguinity on Argentinean Angus beef DNA traceability
title_sort Effect of consanguinity on Argentinean Angus beef DNA traceability
dc.creator.none.fl_str_mv Baldo, Andres
Rogberg Muñoz, Andres
Prando, Alberto José
Mello Cesar, A.S.
Liron, Juan Pedro
Sorarrain, Nicolas
Ramelli, P.
Posik, Diego Manuel
Pofcher, Enrique Jorge
Ripoli, María Verónica
Beretta, E.
Peral Garcia, Pilar
Vaca, R.
Mariani, P.
Giovambattista, Guillermo
author Baldo, Andres
author_facet Baldo, Andres
Rogberg Muñoz, Andres
Prando, Alberto José
Mello Cesar, A.S.
Liron, Juan Pedro
Sorarrain, Nicolas
Ramelli, P.
Posik, Diego Manuel
Pofcher, Enrique Jorge
Ripoli, María Verónica
Beretta, E.
Peral Garcia, Pilar
Vaca, R.
Mariani, P.
Giovambattista, Guillermo
author_role author
author2 Rogberg Muñoz, Andres
Prando, Alberto José
Mello Cesar, A.S.
Liron, Juan Pedro
Sorarrain, Nicolas
Ramelli, P.
Posik, Diego Manuel
Pofcher, Enrique Jorge
Ripoli, María Verónica
Beretta, E.
Peral Garcia, Pilar
Vaca, R.
Mariani, P.
Giovambattista, Guillermo
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Bovine
Consanguinity
Dna Typing
Extensive Farming
Traceability
topic Bovine
Consanguinity
Dna Typing
Extensive Farming
Traceability
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.4
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Since the 1990s several authors have envisaged the use of DNA to certify meat origin. Two major parameters must be assessed before a DNA based traceability protocol can be implemented in the food chain: (i) the information content of a DNA marker set in a specific livestock breed or group of breeds; (ii) the minimum number of DNA markers needed to obtain a statistically acceptable match probability. The objective of the present work was to establish the effect of different levels of inbreeding in the matching efficiency, and the minimum number of microsatellite markers needed, in a DNA based meat traceability program, starting from an 11-microsatellite marker panel. Samples were obtained from beef production farms in South America, where animals are typically bred under pasture-based extensive conditions. Three groups of animals with different consanguinity rates were sampled. Exclusion power (Q) was higher than 0.999998 and match probability lower than 3.01E-08, for the whole set of markers within each group. Both values were affected by consanguinity. To reach a two mismatch criteria exclusion power (Q2) of 99.99, six markers were needed in unrelated animals whereas seven markers were needed in related animals. To reach Q2=99.9999, 8 and 10 microsatellite markers, respectively, were needed. In general, one or two more microsatellite markers were needed to identify consanguineous animals. This study proved the DNA marker set used to be suitable for the identification of the meat from all slaughtered animals in Argentina, per week, month, and year. © 2010 Elsevier Ltd.
Fil: Baldo, Andres. Facultad de Ciencias Veterinarias, Universidad Nacional de la Plata; Argentina
Fil: Rogberg Muñoz, Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina
Fil: Prando, Alberto José. Facultad de Ciencias Veterinarias, Universidad Nacional de la Plata; Argentina
Fil: Mello Cesar, A.S.. Functional Genomics Laboratory; Italia
Fil: Liron, Juan Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina
Fil: Sorarrain, Nicolas. Facultad de Ciencias Veterinarias, Universidad Nacional de la Plata; Argentina
Fil: Ramelli, P.. Functional Genomics Laboratory; Italia
Fil: Posik, Diego Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina
Fil: Pofcher, Enrique Jorge. Facultad de Ciencias Veterinarias, Universidad Nacional de la Plata; Argentina
Fil: Ripoli, María Verónica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina
Fil: Beretta, E.. Consorzio Qualità Della Carne Bovina c/o Coldiretti; Italia
Fil: Peral Garcia, Pilar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina
Fil: Vaca, R.. Facultad de Ciencias Veterinarias, Universidad Nacional de la Plata; Argentina
Fil: Mariani, P.. Functional Genomics Laboratory; Italia
Fil: Giovambattista, Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina
description Since the 1990s several authors have envisaged the use of DNA to certify meat origin. Two major parameters must be assessed before a DNA based traceability protocol can be implemented in the food chain: (i) the information content of a DNA marker set in a specific livestock breed or group of breeds; (ii) the minimum number of DNA markers needed to obtain a statistically acceptable match probability. The objective of the present work was to establish the effect of different levels of inbreeding in the matching efficiency, and the minimum number of microsatellite markers needed, in a DNA based meat traceability program, starting from an 11-microsatellite marker panel. Samples were obtained from beef production farms in South America, where animals are typically bred under pasture-based extensive conditions. Three groups of animals with different consanguinity rates were sampled. Exclusion power (Q) was higher than 0.999998 and match probability lower than 3.01E-08, for the whole set of markers within each group. Both values were affected by consanguinity. To reach a two mismatch criteria exclusion power (Q2) of 99.99, six markers were needed in unrelated animals whereas seven markers were needed in related animals. To reach Q2=99.9999, 8 and 10 microsatellite markers, respectively, were needed. In general, one or two more microsatellite markers were needed to identify consanguineous animals. This study proved the DNA marker set used to be suitable for the identification of the meat from all slaughtered animals in Argentina, per week, month, and year. © 2010 Elsevier Ltd.
publishDate 2010
dc.date.none.fl_str_mv 2010-08
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/11336/79606
Baldo, Andres; Rogberg Muñoz, Andres; Prando, Alberto José; Mello Cesar, A.S.; Liron, Juan Pedro; et al.; Effect of consanguinity on Argentinean Angus beef DNA traceability; Elsevier; Meat Science; 85; 4; 8-2010; 671-675
0309-1740
CONICET Digital
CONICET
url http://hdl.handle.net/11336/79606
identifier_str_mv Baldo, Andres; Rogberg Muñoz, Andres; Prando, Alberto José; Mello Cesar, A.S.; Liron, Juan Pedro; et al.; Effect of consanguinity on Argentinean Angus beef DNA traceability; Elsevier; Meat Science; 85; 4; 8-2010; 671-675
0309-1740
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.meatsci.2010.03.023
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0309174010000951
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
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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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