Selection for feed efficiency using the social effects animal model in growing Duroc pigs: evaluation by simulation

Background Traits recorded on animals that are raised in groups can be analysed with the social effects animal model (SAM). For multiple traits, this model specifies the genetic correlation structure more completely than the animal model (AM). Our hypothesis was that by using the SAM for genetic eva...

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Autores: Herrera-Cáceres, William, Sánchez, Juan Pablo
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
Repositorio:IRTA Pubpro. Open Digital Archive
OAI Identifier:oai:repositori.irta.cat:20.500.12327/990
Acceso en línea:http://hdl.handle.net/20.500.12327/990
https://doi.org/10.1186/s12711-020-00572-4
Access Level:acceso abierto
Palabra clave:636
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oai_identifier_str oai:repositori.irta.cat:20.500.12327/990
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spelling Selection for feed efficiency using the social effects animal model in growing Duroc pigs: evaluation by simulationHerrera-Cáceres, WilliamSánchez, Juan Pablo636Background Traits recorded on animals that are raised in groups can be analysed with the social effects animal model (SAM). For multiple traits, this model specifies the genetic correlation structure more completely than the animal model (AM). Our hypothesis was that by using the SAM for genetic evaluation of average daily gain (ADG) and backfat thickness (BF), a high rate of improvement in feed conversion ratio (FCR) might be achieved, since unfavourable genetic correlations between ADG and BF reported in a Duroc pig line could be partially avoided. We estimated genetic and non-genetic correlations between BF, ADG and FCR on 1144 pigs using Bayesian methods considering the SAM; and responses to selection indexes that combine estimates of indirect (IGE) and direct (DGE) genetic effects for ADG and BF by stochastic simulation. Results Estimates of the ratio of the variance of DGE to the phenotypic variance were 0.31, 0.39 and 0.25 and those of the total genetic variance to the phenotypic variance were 0.63, 0.74 and 0.93 for ADG, BF and FCR, respectively. In spite of this, when the SAM was used to generate data and for the genetic evaluations, the average economic response was worse than that obtained when BV predictions from the AM were considered. The achieved economic response was due to a direct reduction in BF and not to an improvement in FCR. Conclusions Our results show that although social genetic effects play an important role in the traits studied, their proper consideration in pig breeding programs to improve FCR indirectly is still difficult. The correlations between IGE and DGE that could help to overcome the unfavourable genetic correlations between DGE did not reach sufficiently high magnitudes; also, the genetic parameters estimates from the SAM have large errors. These two factors penalize the average response under the SAM compared to the AM.info:eu-repo/semantics/publishedVersionBMCProducció AnimalGenètica i Millora Animal202020202020info:eu-repo/semantics/article10application/pdfhttp://hdl.handle.net/20.500.12327/990https://doi.org/10.1186/s12711-020-00572-4reponame:IRTA Pubpro. Open Digital Archiveinstname:Institut de Recerca i Tecnologia Agroalimentàries (IRTA)InglésGenetics Selection EvolutionEC/H2020/633531/EU/Adapting the feed, the animal and the feeding techniques to improve the efficiency and sustainability of monogastric livestock production systems/Feed-a-GeneMINECO/Programa Estatal de I+D+I orientada a los Retos de la Sociedad/RTA2014-00015-C02-01/ES/Mejora de la eficiencia alimentaria en cerdos y conejos. Determinismo genético y estrategias de selección/MICIU/Programa Estatal de I+D+I orientada a los retos de la sociedad/RTI2018-097610-R-I00/ES/MEJORA DE LA EFECTIVIDAD Y LA VIABILIDAD DE LOS PROGRAMAS DE SELECCION GENETICA PARA AUMENTAR LA EFICIENCIA ALIMENTARIA DE ESPECIES PROLIFICA/Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.irta.cat:20.500.12327/9902026-06-16T08:51:17Z
dc.title.none.fl_str_mv Selection for feed efficiency using the social effects animal model in growing Duroc pigs: evaluation by simulation
title Selection for feed efficiency using the social effects animal model in growing Duroc pigs: evaluation by simulation
spellingShingle Selection for feed efficiency using the social effects animal model in growing Duroc pigs: evaluation by simulation
Herrera-Cáceres, William
636
title_short Selection for feed efficiency using the social effects animal model in growing Duroc pigs: evaluation by simulation
title_full Selection for feed efficiency using the social effects animal model in growing Duroc pigs: evaluation by simulation
title_fullStr Selection for feed efficiency using the social effects animal model in growing Duroc pigs: evaluation by simulation
title_full_unstemmed Selection for feed efficiency using the social effects animal model in growing Duroc pigs: evaluation by simulation
title_sort Selection for feed efficiency using the social effects animal model in growing Duroc pigs: evaluation by simulation
dc.creator.none.fl_str_mv Herrera-Cáceres, William
Sánchez, Juan Pablo
author Herrera-Cáceres, William
author_facet Herrera-Cáceres, William
Sánchez, Juan Pablo
author_role author
author2 Sánchez, Juan Pablo
author2_role author
dc.contributor.none.fl_str_mv Producció Animal
Genètica i Millora Animal
dc.subject.none.fl_str_mv 636
topic 636
description Background Traits recorded on animals that are raised in groups can be analysed with the social effects animal model (SAM). For multiple traits, this model specifies the genetic correlation structure more completely than the animal model (AM). Our hypothesis was that by using the SAM for genetic evaluation of average daily gain (ADG) and backfat thickness (BF), a high rate of improvement in feed conversion ratio (FCR) might be achieved, since unfavourable genetic correlations between ADG and BF reported in a Duroc pig line could be partially avoided. We estimated genetic and non-genetic correlations between BF, ADG and FCR on 1144 pigs using Bayesian methods considering the SAM; and responses to selection indexes that combine estimates of indirect (IGE) and direct (DGE) genetic effects for ADG and BF by stochastic simulation. Results Estimates of the ratio of the variance of DGE to the phenotypic variance were 0.31, 0.39 and 0.25 and those of the total genetic variance to the phenotypic variance were 0.63, 0.74 and 0.93 for ADG, BF and FCR, respectively. In spite of this, when the SAM was used to generate data and for the genetic evaluations, the average economic response was worse than that obtained when BV predictions from the AM were considered. The achieved economic response was due to a direct reduction in BF and not to an improvement in FCR. Conclusions Our results show that although social genetic effects play an important role in the traits studied, their proper consideration in pig breeding programs to improve FCR indirectly is still difficult. The correlations between IGE and DGE that could help to overcome the unfavourable genetic correlations between DGE did not reach sufficiently high magnitudes; also, the genetic parameters estimates from the SAM have large errors. These two factors penalize the average response under the SAM compared to the AM.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12327/990
https://doi.org/10.1186/s12711-020-00572-4
url http://hdl.handle.net/20.500.12327/990
https://doi.org/10.1186/s12711-020-00572-4
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Genetics Selection Evolution
EC/H2020/633531/EU/Adapting the feed, the animal and the feeding techniques to improve the efficiency and sustainability of monogastric livestock production systems/Feed-a-Gene
MINECO/Programa Estatal de I+D+I orientada a los Retos de la Sociedad/RTA2014-00015-C02-01/ES/Mejora de la eficiencia alimentaria en cerdos y conejos. Determinismo genético y estrategias de selección/
MICIU/Programa Estatal de I+D+I orientada a los retos de la sociedad/RTI2018-097610-R-I00/ES/MEJORA DE LA EFECTIVIDAD Y LA VIABILIDAD DE LOS PROGRAMAS DE SELECCION GENETICA PARA AUMENTAR LA EFICIENCIA ALIMENTARIA DE ESPECIES PROLIFICA/
dc.rights.none.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 10
application/pdf
dc.publisher.none.fl_str_mv BMC
publisher.none.fl_str_mv BMC
dc.source.none.fl_str_mv reponame:IRTA Pubpro. Open Digital Archive
instname:Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
instname_str Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
reponame_str IRTA Pubpro. Open Digital Archive
collection IRTA Pubpro. Open Digital Archive
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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