Genetic correlations of intramuscular fat content and fatty acid composition among muscles and with subcutaneous fat in Duroc pigs

There is an increasing interest in including intramuscular fat (IMF) content and fatty acid composition, particularly oleic acid (C18:1) content, in the selection objectives of pig lines for quality pork markets. These traits are costly and can be measured in more than 1 location, so knowing their c...

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Autores: Ros Freixedes, Roger, Reixach, Josep, Bosch, Lluís, Tor i Naudí, Marc, Estany Illa, Joan
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2014
País:España
Institución:Universitat de Lleida (UdL)
Repositorio:Repositori Obert UdL
OAI Identifier:oai:repositori.udl.cat:10459.1/67941
Acceso en línea:https://doi.org/10.2527/jas.2014-8202
http://hdl.handle.net/10459.1/67941
Access Level:acceso abierto
Palabra clave:Fatty acids
Genetic parameters
Intramuscular fat
Oleic acid
Subcutaneous fat
Swine
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spelling Genetic correlations of intramuscular fat content and fatty acid composition among muscles and with subcutaneous fat in Duroc pigsRos Freixedes, RogerReixach, JosepBosch, LluísTor i Naudí, MarcEstany Illa, JoanFatty acidsGenetic parametersIntramuscular fatOleic acidSubcutaneous fatSwineThere is an increasing interest in including intramuscular fat (IMF) content and fatty acid composition, particularly oleic acid (C18:1) content, in the selection objectives of pig lines for quality pork markets. These traits are costly and can be measured in more than 1 location, so knowing their correlation structure across muscles and with subcutaneous fat (SF) is necessary for developing optimum sampling and recording schemes. We analyzed the genetic and phenotypic correlations of IMF content and composition among 3 of the most relevant muscles (LM, gluteus medius muscle [GM], and semimembranosus muscle [SM]) and with the fatty acid composition of SF. All genetic correlations were positive but variable. For IMF, the genetic correlation between GM and LM was 0.68, and for fatty acids, the genetic correlation ranged from 0.62 for C18:1 to 0.82 for total PUFA. Genetic correlations of GM and LM with SM were much lower: 0.13 to 0.19 for IMF and 0.10 to 0.54 for fatty acids. Correlations for fatty acid composition in SF with GM and LM were moderate to high (0.29-0.53 and 0.43-0.75, respectively) but were null with SM. The expected responses for IMF in the 3 muscles and for C18:1 in each muscle and in SF to selection on records taken from only a single muscle or SF were estimated. Selection for IMF and C18:1 in GM is expected to lead to positive responses in IMF and C18:1 in LM and vice versa, although this can entail genetic lags of 20 to 45% in the muscle not directly selected for. Selection for C18:1 in SF is more effective for C18:1 in LM than in GM and of very limited value for IMF. In conclusion, the genetic correlations of IMF content and fatty acid composition among muscles and with SF, although positive, are variable enough to influence the genetic evaluation scheme for IMF and fat quality. They also indicate that GM and LM can be used alternatively for selection purposes.We acknowledge Teresa Giró for assistance with sampling and laboratory analyses and the staff of Selección Batallé for their cooperation. This research was funded by the Spanish Ministry of Economy and Competitiveness (MINECO; grants AGL2009-09779 and AGL2012-33529). R. Ros-Freixedes is recipient of a PhD scholarship from MINECO (BES-2010-034607).American Society of Animal Science2014info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://doi.org/10.2527/jas.2014-8202http://hdl.handle.net/10459.1/67941reponame:Repositori Obert UdL instname:Universitat de Lleida (UdL)Inglésinfo:eu-repo/grantAgreement/MICINN//AGL2009-09779info:eu-repo/grantAgreement/MINECO//AGL2012-33529info:eu-repo/grantAgreement/MICINN//BES-2010-034607Versió postprint del document publicat a: https://doi.org/10.2527/jas.2014-8202Journal of Animal Science, 2014, vol. 92, num. 12, p. 5417-5425(c) American Society of Animal Science, 2014info:eu-repo/semantics/openAccessoai:repositori.udl.cat:10459.1/679412026-06-24T12:42:17Z
dc.title.none.fl_str_mv Genetic correlations of intramuscular fat content and fatty acid composition among muscles and with subcutaneous fat in Duroc pigs
title Genetic correlations of intramuscular fat content and fatty acid composition among muscles and with subcutaneous fat in Duroc pigs
spellingShingle Genetic correlations of intramuscular fat content and fatty acid composition among muscles and with subcutaneous fat in Duroc pigs
Ros Freixedes, Roger
Fatty acids
Genetic parameters
Intramuscular fat
Oleic acid
Subcutaneous fat
Swine
title_short Genetic correlations of intramuscular fat content and fatty acid composition among muscles and with subcutaneous fat in Duroc pigs
title_full Genetic correlations of intramuscular fat content and fatty acid composition among muscles and with subcutaneous fat in Duroc pigs
title_fullStr Genetic correlations of intramuscular fat content and fatty acid composition among muscles and with subcutaneous fat in Duroc pigs
title_full_unstemmed Genetic correlations of intramuscular fat content and fatty acid composition among muscles and with subcutaneous fat in Duroc pigs
title_sort Genetic correlations of intramuscular fat content and fatty acid composition among muscles and with subcutaneous fat in Duroc pigs
dc.creator.none.fl_str_mv Ros Freixedes, Roger
Reixach, Josep
Bosch, Lluís
Tor i Naudí, Marc
Estany Illa, Joan
author Ros Freixedes, Roger
author_facet Ros Freixedes, Roger
Reixach, Josep
Bosch, Lluís
Tor i Naudí, Marc
Estany Illa, Joan
author_role author
author2 Reixach, Josep
Bosch, Lluís
Tor i Naudí, Marc
Estany Illa, Joan
author2_role author
author
author
author
dc.subject.none.fl_str_mv Fatty acids
Genetic parameters
Intramuscular fat
Oleic acid
Subcutaneous fat
Swine
topic Fatty acids
Genetic parameters
Intramuscular fat
Oleic acid
Subcutaneous fat
Swine
description There is an increasing interest in including intramuscular fat (IMF) content and fatty acid composition, particularly oleic acid (C18:1) content, in the selection objectives of pig lines for quality pork markets. These traits are costly and can be measured in more than 1 location, so knowing their correlation structure across muscles and with subcutaneous fat (SF) is necessary for developing optimum sampling and recording schemes. We analyzed the genetic and phenotypic correlations of IMF content and composition among 3 of the most relevant muscles (LM, gluteus medius muscle [GM], and semimembranosus muscle [SM]) and with the fatty acid composition of SF. All genetic correlations were positive but variable. For IMF, the genetic correlation between GM and LM was 0.68, and for fatty acids, the genetic correlation ranged from 0.62 for C18:1 to 0.82 for total PUFA. Genetic correlations of GM and LM with SM were much lower: 0.13 to 0.19 for IMF and 0.10 to 0.54 for fatty acids. Correlations for fatty acid composition in SF with GM and LM were moderate to high (0.29-0.53 and 0.43-0.75, respectively) but were null with SM. The expected responses for IMF in the 3 muscles and for C18:1 in each muscle and in SF to selection on records taken from only a single muscle or SF were estimated. Selection for IMF and C18:1 in GM is expected to lead to positive responses in IMF and C18:1 in LM and vice versa, although this can entail genetic lags of 20 to 45% in the muscle not directly selected for. Selection for C18:1 in SF is more effective for C18:1 in LM than in GM and of very limited value for IMF. In conclusion, the genetic correlations of IMF content and fatty acid composition among muscles and with SF, although positive, are variable enough to influence the genetic evaluation scheme for IMF and fat quality. They also indicate that GM and LM can be used alternatively for selection purposes.
publishDate 2014
dc.date.none.fl_str_mv 2014
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.2527/jas.2014-8202
http://hdl.handle.net/10459.1/67941
url https://doi.org/10.2527/jas.2014-8202
http://hdl.handle.net/10459.1/67941
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MICINN//AGL2009-09779
info:eu-repo/grantAgreement/MINECO//AGL2012-33529
info:eu-repo/grantAgreement/MICINN//BES-2010-034607
Versió postprint del document publicat a: https://doi.org/10.2527/jas.2014-8202
Journal of Animal Science, 2014, vol. 92, num. 12, p. 5417-5425
dc.rights.none.fl_str_mv (c) American Society of Animal Science, 2014
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) American Society of Animal Science, 2014
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 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:Repositori Obert UdL
instname:Universitat de Lleida (UdL)
instname_str Universitat de Lleida (UdL)
reponame_str Repositori Obert UdL
collection Repositori Obert UdL
repository.name.fl_str_mv
repository.mail.fl_str_mv
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