Analysis of residual feed intake in Nellore bulls of different ages, rib eye area, and backfat thickness

Detalhes bibliográficos
Autor(a) principal: Oliveira, Matheus Henrique Vargas de [UNESP]
Data de Publicação: 2022
Outros Autores: Malheiros, Jessica Moraes, Ospina, Alejandra Maria Toro [UNESP], Dominguez-Castano, Pablo [UNESP], Benfica, Lorena Ferreira [UNESP], Correia, Luiz Eduardo Cruz dos Santos [UNESP], Gaya, Leila de Genova, Mercadante, Maria Eugenia Zerlotti, Castilhos, Andre Michel de [UNESP], Santos Goncalves Cyrillo, Joslaine Noely dos, Sartori, Jessica Biasotto [UNESP], Albuquerque, Lucia Galvao de [UNESP], Vasconcelos Silva, Josineudson Augusto de [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s11250-022-03285-6
http://hdl.handle.net/11449/237969
Resumo: The aim of the present study was to use different models that include body composition phenotypes for the evaluation of residual feed intake (RFI) in Nellore bulls of different ages. Phenotypic and genotypic data of bulls that had participated in feed efficiency tests of a commercial (COM) and an experimental (EXP) herd between 2007 and 2019 were used. The mean entry age in the two herds was 645 and 279 days, respectively. The phenotypes were evaluated: rib eye area (REA), backfat thickness (BFT), residual feed intake (RFIKOCH), RFI adjusted for REA (RFIREA), RFI adjusted for BFT (RFIBFT), and RFI adjusted for REA and BFT (RFIREA BFT). The (co)variance components and prediction of genomic estimated breeding values (GEBV) were obtained by REML using ssGBLUP in single and two-trait analyses. Spearman's correlations were calculated based on the GEBV for RFIKOCH. The RFI phenotypes exhibited moderate heritability estimates in both herds (0.17 +/- 0.03 to 0.27 +/- 0.04). The genetic correlation between phenotypes was positive and high (0.99) in the two herds, a fact that permitted the creation of a single database (SDB). The heritability estimates of the SDB were also of moderate magnitude for the different definitions of RFI (0.19 +/- 0.04 to 0.21 +/- 0.04). The genetic correlations were positive and high between RFI traits 0.97 +/- 0.01 to 0.99 +/- 0.01), and positive and low/moderate between REA and BFT (0.01 +/- 0.10 to 0.31 +/- 0.12). The selection of animals based on the GEBV for RFIKOCH did not alter the ranking of individuals selected for RFIREA, RFIBFT, and RFIREA BFT. The results of the present study suggest that records of Nellore bulls of different ages and with different body compositions can be combined in a SDB for RFI calculation. Therefore, young animals can be evaluated in feed efficiency tests in order to reduce costs and the generation interval and possibly to obtain a higher response to selection.
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spelling Analysis of residual feed intake in Nellore bulls of different ages, rib eye area, and backfat thicknessBos taurus indicusVariance componentFeed efficiencyGenomic estimated breeding valueHeritabilityThe aim of the present study was to use different models that include body composition phenotypes for the evaluation of residual feed intake (RFI) in Nellore bulls of different ages. Phenotypic and genotypic data of bulls that had participated in feed efficiency tests of a commercial (COM) and an experimental (EXP) herd between 2007 and 2019 were used. The mean entry age in the two herds was 645 and 279 days, respectively. The phenotypes were evaluated: rib eye area (REA), backfat thickness (BFT), residual feed intake (RFIKOCH), RFI adjusted for REA (RFIREA), RFI adjusted for BFT (RFIBFT), and RFI adjusted for REA and BFT (RFIREA BFT). The (co)variance components and prediction of genomic estimated breeding values (GEBV) were obtained by REML using ssGBLUP in single and two-trait analyses. Spearman's correlations were calculated based on the GEBV for RFIKOCH. The RFI phenotypes exhibited moderate heritability estimates in both herds (0.17 +/- 0.03 to 0.27 +/- 0.04). The genetic correlation between phenotypes was positive and high (0.99) in the two herds, a fact that permitted the creation of a single database (SDB). The heritability estimates of the SDB were also of moderate magnitude for the different definitions of RFI (0.19 +/- 0.04 to 0.21 +/- 0.04). The genetic correlations were positive and high between RFI traits 0.97 +/- 0.01 to 0.99 +/- 0.01), and positive and low/moderate between REA and BFT (0.01 +/- 0.10 to 0.31 +/- 0.12). The selection of animals based on the GEBV for RFIKOCH did not alter the ranking of individuals selected for RFIREA, RFIBFT, and RFIREA BFT. The results of the present study suggest that records of Nellore bulls of different ages and with different body compositions can be combined in a SDB for RFI calculation. Therefore, young animals can be evaluated in feed efficiency tests in order to reduce costs and the generation interval and possibly to obtain a higher response to selection.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Sao Paulo State Univ, UNESP, Coll Agr & Vet Sci FCAV, Jaboticabal, SP, BrazilEmbrapa Southeast Livestock EMBRAPA, Sao Carlos, SP, BrazilFdn Univ Agr Colombia UNIAGRARIA, Fac Med Vet, Bogota, ColombiaFed Univ Sao Joao del Rei UFSJ, Sao Joao Del Rei, MG, BrazilInst Anim Sci IZ, Sertaozinho, SP, BrazilSao Paulo State Univ, UNESP, Sch Vet Med & Anim Sci FMVZ, Botucatu, SP, BrazilSao Paulo State Univ, UNESP, Coll Agr & Vet Sci FCAV, Jaboticabal, SP, BrazilSao Paulo State Univ, UNESP, Sch Vet Med & Anim Sci FMVZ, Botucatu, SP, BrazilCAPES: 001SpringerUniversidade Estadual Paulista (UNESP)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Fdn Univ Agr Colombia (UNIAGRARIA)Universidade Federal de Sergipe (UFS)Inst Anim Sci IZOliveira, Matheus Henrique Vargas de [UNESP]Malheiros, Jessica MoraesOspina, Alejandra Maria Toro [UNESP]Dominguez-Castano, Pablo [UNESP]Benfica, Lorena Ferreira [UNESP]Correia, Luiz Eduardo Cruz dos Santos [UNESP]Gaya, Leila de GenovaMercadante, Maria Eugenia ZerlottiCastilhos, Andre Michel de [UNESP]Santos Goncalves Cyrillo, Joslaine Noely dosSartori, Jessica Biasotto [UNESP]Albuquerque, Lucia Galvao de [UNESP]Vasconcelos Silva, Josineudson Augusto de [UNESP]2022-11-30T16:20:57Z2022-11-30T16:20:57Z2022-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article9http://dx.doi.org/10.1007/s11250-022-03285-6Tropical Animal Health And Production. Dordrecht: Springer, v. 54, n. 5, 9 p., 2022.0049-4747http://hdl.handle.net/11449/23796910.1007/s11250-022-03285-6WOS:000853425800001Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengTropical Animal Health And Productioninfo:eu-repo/semantics/openAccess2022-11-30T16:20:57Zoai:repositorio.unesp.br:11449/237969Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-11-30T16:20:57Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Analysis of residual feed intake in Nellore bulls of different ages, rib eye area, and backfat thickness
title Analysis of residual feed intake in Nellore bulls of different ages, rib eye area, and backfat thickness
spellingShingle Analysis of residual feed intake in Nellore bulls of different ages, rib eye area, and backfat thickness
Oliveira, Matheus Henrique Vargas de [UNESP]
Bos taurus indicus
Variance component
Feed efficiency
Genomic estimated breeding value
Heritability
title_short Analysis of residual feed intake in Nellore bulls of different ages, rib eye area, and backfat thickness
title_full Analysis of residual feed intake in Nellore bulls of different ages, rib eye area, and backfat thickness
title_fullStr Analysis of residual feed intake in Nellore bulls of different ages, rib eye area, and backfat thickness
title_full_unstemmed Analysis of residual feed intake in Nellore bulls of different ages, rib eye area, and backfat thickness
title_sort Analysis of residual feed intake in Nellore bulls of different ages, rib eye area, and backfat thickness
author Oliveira, Matheus Henrique Vargas de [UNESP]
author_facet Oliveira, Matheus Henrique Vargas de [UNESP]
Malheiros, Jessica Moraes
Ospina, Alejandra Maria Toro [UNESP]
Dominguez-Castano, Pablo [UNESP]
Benfica, Lorena Ferreira [UNESP]
Correia, Luiz Eduardo Cruz dos Santos [UNESP]
Gaya, Leila de Genova
Mercadante, Maria Eugenia Zerlotti
Castilhos, Andre Michel de [UNESP]
Santos Goncalves Cyrillo, Joslaine Noely dos
Sartori, Jessica Biasotto [UNESP]
Albuquerque, Lucia Galvao de [UNESP]
Vasconcelos Silva, Josineudson Augusto de [UNESP]
author_role author
author2 Malheiros, Jessica Moraes
Ospina, Alejandra Maria Toro [UNESP]
Dominguez-Castano, Pablo [UNESP]
Benfica, Lorena Ferreira [UNESP]
Correia, Luiz Eduardo Cruz dos Santos [UNESP]
Gaya, Leila de Genova
Mercadante, Maria Eugenia Zerlotti
Castilhos, Andre Michel de [UNESP]
Santos Goncalves Cyrillo, Joslaine Noely dos
Sartori, Jessica Biasotto [UNESP]
Albuquerque, Lucia Galvao de [UNESP]
Vasconcelos Silva, Josineudson Augusto de [UNESP]
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
Fdn Univ Agr Colombia (UNIAGRARIA)
Universidade Federal de Sergipe (UFS)
Inst Anim Sci IZ
dc.contributor.author.fl_str_mv Oliveira, Matheus Henrique Vargas de [UNESP]
Malheiros, Jessica Moraes
Ospina, Alejandra Maria Toro [UNESP]
Dominguez-Castano, Pablo [UNESP]
Benfica, Lorena Ferreira [UNESP]
Correia, Luiz Eduardo Cruz dos Santos [UNESP]
Gaya, Leila de Genova
Mercadante, Maria Eugenia Zerlotti
Castilhos, Andre Michel de [UNESP]
Santos Goncalves Cyrillo, Joslaine Noely dos
Sartori, Jessica Biasotto [UNESP]
Albuquerque, Lucia Galvao de [UNESP]
Vasconcelos Silva, Josineudson Augusto de [UNESP]
dc.subject.por.fl_str_mv Bos taurus indicus
Variance component
Feed efficiency
Genomic estimated breeding value
Heritability
topic Bos taurus indicus
Variance component
Feed efficiency
Genomic estimated breeding value
Heritability
description The aim of the present study was to use different models that include body composition phenotypes for the evaluation of residual feed intake (RFI) in Nellore bulls of different ages. Phenotypic and genotypic data of bulls that had participated in feed efficiency tests of a commercial (COM) and an experimental (EXP) herd between 2007 and 2019 were used. The mean entry age in the two herds was 645 and 279 days, respectively. The phenotypes were evaluated: rib eye area (REA), backfat thickness (BFT), residual feed intake (RFIKOCH), RFI adjusted for REA (RFIREA), RFI adjusted for BFT (RFIBFT), and RFI adjusted for REA and BFT (RFIREA BFT). The (co)variance components and prediction of genomic estimated breeding values (GEBV) were obtained by REML using ssGBLUP in single and two-trait analyses. Spearman's correlations were calculated based on the GEBV for RFIKOCH. The RFI phenotypes exhibited moderate heritability estimates in both herds (0.17 +/- 0.03 to 0.27 +/- 0.04). The genetic correlation between phenotypes was positive and high (0.99) in the two herds, a fact that permitted the creation of a single database (SDB). The heritability estimates of the SDB were also of moderate magnitude for the different definitions of RFI (0.19 +/- 0.04 to 0.21 +/- 0.04). The genetic correlations were positive and high between RFI traits 0.97 +/- 0.01 to 0.99 +/- 0.01), and positive and low/moderate between REA and BFT (0.01 +/- 0.10 to 0.31 +/- 0.12). The selection of animals based on the GEBV for RFIKOCH did not alter the ranking of individuals selected for RFIREA, RFIBFT, and RFIREA BFT. The results of the present study suggest that records of Nellore bulls of different ages and with different body compositions can be combined in a SDB for RFI calculation. Therefore, young animals can be evaluated in feed efficiency tests in order to reduce costs and the generation interval and possibly to obtain a higher response to selection.
publishDate 2022
dc.date.none.fl_str_mv 2022-11-30T16:20:57Z
2022-11-30T16:20:57Z
2022-10-01
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/s11250-022-03285-6
Tropical Animal Health And Production. Dordrecht: Springer, v. 54, n. 5, 9 p., 2022.
0049-4747
http://hdl.handle.net/11449/237969
10.1007/s11250-022-03285-6
WOS:000853425800001
url http://dx.doi.org/10.1007/s11250-022-03285-6
http://hdl.handle.net/11449/237969
identifier_str_mv Tropical Animal Health And Production. Dordrecht: Springer, v. 54, n. 5, 9 p., 2022.
0049-4747
10.1007/s11250-022-03285-6
WOS:000853425800001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Tropical Animal Health And Production
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 9
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
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