Genetic correlation estimates between beef fatty acid profile with meat and carcass traits in Nellore cattle finished in feedlot
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s13353-016-0360-7 http://hdl.handle.net/11449/165453 |
Resumo: | The objective of this study was to estimate the genetic-quantitative relationships between the beef fatty acid profile with the carcass and meat traits of Nellore cattle. A total of 1826 bulls finished in feedlot conditions and slaughtered at 24 months of age on average were used. The following carcass and meat traits were analysed: subcutaneous fat thickness (BF), shear force (SF) and total intramuscular fat (IMF). The fatty acid (FA) profile of the Longissimus thoracis samples was determined. Twenty-five FAs (18 individuals and seven groups of FAs) were selected due to their importance for human health. The animals were genotyped with the BovineHD BeadChip and, after quality control for single nucleotide polymorphisms (SNPs), only 470,007 SNPs from 1556 samples remained. The model included the random genetic additive direct effect, the fixed effect of the contemporary group and the animal's slaughter age as a covariable. The (co)variances and genetic parameters were estimated using the REML method, considering an animal model (single-step GBLUP). A total of 25 multi-trait analyses, with four traits, were performed considering SF, BF and IMF plus each individual FA. The heritability estimates for individual saturated fatty acids (SFA) varied from 0.06 to 0.65, for monounsaturated fatty acids (MUFA) it varied from 0.02 to 0.14 and for polyunsaturated fatty acids (PUFA) it ranged from 0.05 to 0.68. The heritability estimates for Omega 3, Omega 6, SFA, MUFA and PUFA sum were low to moderate, varying from 0.09 to 0.20. The carcass and meat traits, SF (0.06) and IMF (0.07), had low heritability estimates, while BF (0.17) was moderate. The genetic correlation estimates between SFA sum, MUFA sum and PUFA sum with BF were 0.04, 0.64 and -0.41, respectively. The genetic correlation estimates between SFA sum, MUFA sum and PUFA sum with SF were 0.29, -0.06 and -0.04, respectively. The genetic correlation estimates between SFA sum, MUFA sum and PUFA sum with IMF were 0.24, 0.90 and -0.67, respectively. The selection to improve meat tenderness in Nellore cattle should not change the fatty acid composition in beef, so it is possible to improve this attribute without affecting the nutritional beef quality in zebu breeds. However, selection for increased deposition of subcutaneous fat thickness and especially the percentage of intramuscular fat should lead to changes in the fat composition, highlighting a genetic antagonism between meat nutritional value and acceptability by the consumer. |
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Genetic correlation estimates between beef fatty acid profile with meat and carcass traits in Nellore cattle finished in feedlotBos indicusFatMeat tendernessMeat qualityHuman healthSelectionThe objective of this study was to estimate the genetic-quantitative relationships between the beef fatty acid profile with the carcass and meat traits of Nellore cattle. A total of 1826 bulls finished in feedlot conditions and slaughtered at 24 months of age on average were used. The following carcass and meat traits were analysed: subcutaneous fat thickness (BF), shear force (SF) and total intramuscular fat (IMF). The fatty acid (FA) profile of the Longissimus thoracis samples was determined. Twenty-five FAs (18 individuals and seven groups of FAs) were selected due to their importance for human health. The animals were genotyped with the BovineHD BeadChip and, after quality control for single nucleotide polymorphisms (SNPs), only 470,007 SNPs from 1556 samples remained. The model included the random genetic additive direct effect, the fixed effect of the contemporary group and the animal's slaughter age as a covariable. The (co)variances and genetic parameters were estimated using the REML method, considering an animal model (single-step GBLUP). A total of 25 multi-trait analyses, with four traits, were performed considering SF, BF and IMF plus each individual FA. The heritability estimates for individual saturated fatty acids (SFA) varied from 0.06 to 0.65, for monounsaturated fatty acids (MUFA) it varied from 0.02 to 0.14 and for polyunsaturated fatty acids (PUFA) it ranged from 0.05 to 0.68. The heritability estimates for Omega 3, Omega 6, SFA, MUFA and PUFA sum were low to moderate, varying from 0.09 to 0.20. The carcass and meat traits, SF (0.06) and IMF (0.07), had low heritability estimates, while BF (0.17) was moderate. The genetic correlation estimates between SFA sum, MUFA sum and PUFA sum with BF were 0.04, 0.64 and -0.41, respectively. The genetic correlation estimates between SFA sum, MUFA sum and PUFA sum with SF were 0.29, -0.06 and -0.04, respectively. The genetic correlation estimates between SFA sum, MUFA sum and PUFA sum with IMF were 0.24, 0.90 and -0.67, respectively. The selection to improve meat tenderness in Nellore cattle should not change the fatty acid composition in beef, so it is possible to improve this attribute without affecting the nutritional beef quality in zebu breeds. However, selection for increased deposition of subcutaneous fat thickness and especially the percentage of intramuscular fat should lead to changes in the fat composition, highlighting a genetic antagonism between meat nutritional value and acceptability by the consumer.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Sao Paulo State Univ, Fac Agr & Vet Sci, Dept Anim Sci, Jaboticabal, SP, BrazilUniv Sao Paulo, Sch Vet Med & Anim Sci, Dept Anim Sci, Pirassununga, SP, BrazilUniv Sao Paulo, Fac Anim Sci & Food Engn, Dept Anim Sci, Pirassununga, SP, BrazilUniv Sao Paulo, Fac Anim Sci & Food Engn, Dept Food Engn, Pirassununga, SP, BrazilCNPq, Natl Counsel Technol & Sci Dev, Brasilia, DF, BrazilINIA, Natl Agr Res Inst, Las Brujas 90200, UruguaySao Paulo State Univ, Fac Agr & Vet Sci, Dept Anim Sci, Jaboticabal, SP, BrazilFAPESP: 2009/16118-5FAPESP: 2011/21241-0FAPESP: 2012/23979-0SpringerUniversidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)CNPqINIABraga Feitosa, Fabieli Loise [UNESP]Olivieri, Bianca Ferreira [UNESP]Aboujaoude, Carolyn [UNESP]Cravo Pereira, Angelica SimoneAntunes de Lemos, Marcos Vinicius [UNESP]Justino Chiaia, Hermenegildo Lucas [UNESP]Berton, Mariana Piatto [UNESP]Peripolli, Elisa [UNESP]Ferrinho, Adrielle MatiasMueller, Lenise FreitasMazalli, Monica RobertaAlbuquerque, Lucia Galvao de [UNESP]Oliveira, Henrique Nunes de [UNESP]Tonhati, Humberto [UNESP]Espigolan, Rafael [UNESP]Tonussi, Rafael Lara [UNESP]Oliveira Silva, Rafael Medeiros de [UNESP]Mansan Gordo, Daniel Gustavo [UNESP]Braga Magalhaes, Ana Fabricia [UNESP]Aguilar, IgnacioBaldi, Fernando [UNESP]2018-11-28T03:37:23Z2018-11-28T03:37:23Z2017-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article123-132application/pdfhttp://dx.doi.org/10.1007/s13353-016-0360-7Journal Of Applied Genetics. Heidelberg: Springer Heidelberg, v. 58, n. 1, p. 123-132, 2017.1234-1983http://hdl.handle.net/11449/16545310.1007/s13353-016-0360-7WOS:000392667800014WOS000392667800014.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal Of Applied Geneticsinfo:eu-repo/semantics/openAccess2024-06-07T18:40:40Zoai:repositorio.unesp.br:11449/165453Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:10:52.218024Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Genetic correlation estimates between beef fatty acid profile with meat and carcass traits in Nellore cattle finished in feedlot |
title |
Genetic correlation estimates between beef fatty acid profile with meat and carcass traits in Nellore cattle finished in feedlot |
spellingShingle |
Genetic correlation estimates between beef fatty acid profile with meat and carcass traits in Nellore cattle finished in feedlot Braga Feitosa, Fabieli Loise [UNESP] Bos indicus Fat Meat tenderness Meat quality Human health Selection |
title_short |
Genetic correlation estimates between beef fatty acid profile with meat and carcass traits in Nellore cattle finished in feedlot |
title_full |
Genetic correlation estimates between beef fatty acid profile with meat and carcass traits in Nellore cattle finished in feedlot |
title_fullStr |
Genetic correlation estimates between beef fatty acid profile with meat and carcass traits in Nellore cattle finished in feedlot |
title_full_unstemmed |
Genetic correlation estimates between beef fatty acid profile with meat and carcass traits in Nellore cattle finished in feedlot |
title_sort |
Genetic correlation estimates between beef fatty acid profile with meat and carcass traits in Nellore cattle finished in feedlot |
author |
Braga Feitosa, Fabieli Loise [UNESP] |
author_facet |
Braga Feitosa, Fabieli Loise [UNESP] Olivieri, Bianca Ferreira [UNESP] Aboujaoude, Carolyn [UNESP] Cravo Pereira, Angelica Simone Antunes de Lemos, Marcos Vinicius [UNESP] Justino Chiaia, Hermenegildo Lucas [UNESP] Berton, Mariana Piatto [UNESP] Peripolli, Elisa [UNESP] Ferrinho, Adrielle Matias Mueller, Lenise Freitas Mazalli, Monica Roberta Albuquerque, Lucia Galvao de [UNESP] Oliveira, Henrique Nunes de [UNESP] Tonhati, Humberto [UNESP] Espigolan, Rafael [UNESP] Tonussi, Rafael Lara [UNESP] Oliveira Silva, Rafael Medeiros de [UNESP] Mansan Gordo, Daniel Gustavo [UNESP] Braga Magalhaes, Ana Fabricia [UNESP] Aguilar, Ignacio Baldi, Fernando [UNESP] |
author_role |
author |
author2 |
Olivieri, Bianca Ferreira [UNESP] Aboujaoude, Carolyn [UNESP] Cravo Pereira, Angelica Simone Antunes de Lemos, Marcos Vinicius [UNESP] Justino Chiaia, Hermenegildo Lucas [UNESP] Berton, Mariana Piatto [UNESP] Peripolli, Elisa [UNESP] Ferrinho, Adrielle Matias Mueller, Lenise Freitas Mazalli, Monica Roberta Albuquerque, Lucia Galvao de [UNESP] Oliveira, Henrique Nunes de [UNESP] Tonhati, Humberto [UNESP] Espigolan, Rafael [UNESP] Tonussi, Rafael Lara [UNESP] Oliveira Silva, Rafael Medeiros de [UNESP] Mansan Gordo, Daniel Gustavo [UNESP] Braga Magalhaes, Ana Fabricia [UNESP] Aguilar, Ignacio Baldi, Fernando [UNESP] |
author2_role |
author author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade de São Paulo (USP) CNPq INIA |
dc.contributor.author.fl_str_mv |
Braga Feitosa, Fabieli Loise [UNESP] Olivieri, Bianca Ferreira [UNESP] Aboujaoude, Carolyn [UNESP] Cravo Pereira, Angelica Simone Antunes de Lemos, Marcos Vinicius [UNESP] Justino Chiaia, Hermenegildo Lucas [UNESP] Berton, Mariana Piatto [UNESP] Peripolli, Elisa [UNESP] Ferrinho, Adrielle Matias Mueller, Lenise Freitas Mazalli, Monica Roberta Albuquerque, Lucia Galvao de [UNESP] Oliveira, Henrique Nunes de [UNESP] Tonhati, Humberto [UNESP] Espigolan, Rafael [UNESP] Tonussi, Rafael Lara [UNESP] Oliveira Silva, Rafael Medeiros de [UNESP] Mansan Gordo, Daniel Gustavo [UNESP] Braga Magalhaes, Ana Fabricia [UNESP] Aguilar, Ignacio Baldi, Fernando [UNESP] |
dc.subject.por.fl_str_mv |
Bos indicus Fat Meat tenderness Meat quality Human health Selection |
topic |
Bos indicus Fat Meat tenderness Meat quality Human health Selection |
description |
The objective of this study was to estimate the genetic-quantitative relationships between the beef fatty acid profile with the carcass and meat traits of Nellore cattle. A total of 1826 bulls finished in feedlot conditions and slaughtered at 24 months of age on average were used. The following carcass and meat traits were analysed: subcutaneous fat thickness (BF), shear force (SF) and total intramuscular fat (IMF). The fatty acid (FA) profile of the Longissimus thoracis samples was determined. Twenty-five FAs (18 individuals and seven groups of FAs) were selected due to their importance for human health. The animals were genotyped with the BovineHD BeadChip and, after quality control for single nucleotide polymorphisms (SNPs), only 470,007 SNPs from 1556 samples remained. The model included the random genetic additive direct effect, the fixed effect of the contemporary group and the animal's slaughter age as a covariable. The (co)variances and genetic parameters were estimated using the REML method, considering an animal model (single-step GBLUP). A total of 25 multi-trait analyses, with four traits, were performed considering SF, BF and IMF plus each individual FA. The heritability estimates for individual saturated fatty acids (SFA) varied from 0.06 to 0.65, for monounsaturated fatty acids (MUFA) it varied from 0.02 to 0.14 and for polyunsaturated fatty acids (PUFA) it ranged from 0.05 to 0.68. The heritability estimates for Omega 3, Omega 6, SFA, MUFA and PUFA sum were low to moderate, varying from 0.09 to 0.20. The carcass and meat traits, SF (0.06) and IMF (0.07), had low heritability estimates, while BF (0.17) was moderate. The genetic correlation estimates between SFA sum, MUFA sum and PUFA sum with BF were 0.04, 0.64 and -0.41, respectively. The genetic correlation estimates between SFA sum, MUFA sum and PUFA sum with SF were 0.29, -0.06 and -0.04, respectively. The genetic correlation estimates between SFA sum, MUFA sum and PUFA sum with IMF were 0.24, 0.90 and -0.67, respectively. The selection to improve meat tenderness in Nellore cattle should not change the fatty acid composition in beef, so it is possible to improve this attribute without affecting the nutritional beef quality in zebu breeds. However, selection for increased deposition of subcutaneous fat thickness and especially the percentage of intramuscular fat should lead to changes in the fat composition, highlighting a genetic antagonism between meat nutritional value and acceptability by the consumer. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-02-01 2018-11-28T03:37:23Z 2018-11-28T03:37:23Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s13353-016-0360-7 Journal Of Applied Genetics. Heidelberg: Springer Heidelberg, v. 58, n. 1, p. 123-132, 2017. 1234-1983 http://hdl.handle.net/11449/165453 10.1007/s13353-016-0360-7 WOS:000392667800014 WOS000392667800014.pdf |
url |
http://dx.doi.org/10.1007/s13353-016-0360-7 http://hdl.handle.net/11449/165453 |
identifier_str_mv |
Journal Of Applied Genetics. Heidelberg: Springer Heidelberg, v. 58, n. 1, p. 123-132, 2017. 1234-1983 10.1007/s13353-016-0360-7 WOS:000392667800014 WOS000392667800014.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal Of Applied Genetics |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
123-132 application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128615871676416 |