Genomic prediction in Brazilian Guzerá cattle: application of a single-step approach to productive and reproductive traits

Detalhes bibliográficos
Autor(a) principal: Carrara, Eula Regina
Data de Publicação: 2023
Outros Autores: Peixoto, Maria Gabriela Campolina Diniz, da Silva, Alessandra Alves [UNESP], Bruneli, Frank Angelo Tomita, Ventura, Henrique Torres, Zadra, Lenira El Faro, Josahkian, Luiz Antônio, Veroneze, Renata, Lopes, Paulo Sávio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s11250-023-03484-9
http://hdl.handle.net/11449/246730
Resumo: This study aimed to investigate the feasibility of genomic prediction for productive and reproductive traits in Guzerá cattle using single-step genomic best linear unbiased prediction (ssGBLUP). Evaluations included the 305-day cumulative yields (first lactation, in kg) of milk, lactose, protein, fat, and total solids; adjusted body weight (kg) at the ages of 450, 365, and 210 days; and age at first calving (in days), from a database containing 197,283 measurements from Guzerá males and females born between 1954 and 2018. The pedigree included 433,823 animals spanning up to 14 overlapping generations. A total of 1618 animals were genotyped. The analyses were performed using ssGBLUP and traditional BLUP methods. Predictive ability and bias were accessed using cross-validation: predictive ability was similar between the methods and ranged from 0.27 to 0.47 for the genomic-based model and from 0.30 to 0.45 for the pedigree-based model; the bias was also similar between the methods, ranging from 0.88 to 1.35 in the genomic-based model and from 0.96 to 1.41 in the pedigree-based model. The individual accuracies of breeding values were evidently increased in the genomic evaluation, with values ranging from 0.41 to 0.56 in the genomic-based model and from 0.26 to 0.54 in the pedigree-based model. Even based on a small number of genotyped animals and a small database for some traits, the results suggest that ssGBLUP is feasible and may be applied to national genetic evaluation of the breed to increase the accuracy of breeding values without greatly impacting predictive ability and bias.
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spelling Genomic prediction in Brazilian Guzerá cattle: application of a single-step approach to productive and reproductive traitsBrazilian Guzerá cattleProductive and reproductive traitsSingle-step approachThis study aimed to investigate the feasibility of genomic prediction for productive and reproductive traits in Guzerá cattle using single-step genomic best linear unbiased prediction (ssGBLUP). Evaluations included the 305-day cumulative yields (first lactation, in kg) of milk, lactose, protein, fat, and total solids; adjusted body weight (kg) at the ages of 450, 365, and 210 days; and age at first calving (in days), from a database containing 197,283 measurements from Guzerá males and females born between 1954 and 2018. The pedigree included 433,823 animals spanning up to 14 overlapping generations. A total of 1618 animals were genotyped. The analyses were performed using ssGBLUP and traditional BLUP methods. Predictive ability and bias were accessed using cross-validation: predictive ability was similar between the methods and ranged from 0.27 to 0.47 for the genomic-based model and from 0.30 to 0.45 for the pedigree-based model; the bias was also similar between the methods, ranging from 0.88 to 1.35 in the genomic-based model and from 0.96 to 1.41 in the pedigree-based model. The individual accuracies of breeding values were evidently increased in the genomic evaluation, with values ranging from 0.41 to 0.56 in the genomic-based model and from 0.26 to 0.54 in the pedigree-based model. Even based on a small number of genotyped animals and a small database for some traits, the results suggest that ssGBLUP is feasible and may be applied to national genetic evaluation of the breed to increase the accuracy of breeding values without greatly impacting predictive ability and bias.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Instituto Nacional de Ciência e Tecnologia MidasDepartment of Animal Science Federal University of Viçosa, Minas GeraisEmbrapa Dairy Cattle, Minas GeraisDepartment of Agricultural Sciences School of Agricultural and Veterinarian Sciences São Paulo State University, JaboticabalBrazilian Association of Zebu Breeders, Minas GeraisBrazilian Center for the Genetic Improvement of Guzerá, Minas GeraisDepartment of Agricultural Sciences School of Agricultural and Veterinarian Sciences São Paulo State University, JaboticabalCAPES: 1246/2020CAPES: 3200217011p9Instituto Nacional de Ciência e Tecnologia Midas: 465377/2014–9Federal University of ViçosaEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Universidade Estadual Paulista (UNESP)Brazilian Association of Zebu BreedersBrazilian Center for the Genetic Improvement of GuzeráCarrara, Eula ReginaPeixoto, Maria Gabriela Campolina Dinizda Silva, Alessandra Alves [UNESP]Bruneli, Frank Angelo TomitaVentura, Henrique TorresZadra, Lenira El FaroJosahkian, Luiz AntônioVeroneze, RenataLopes, Paulo Sávio2023-07-29T12:49:00Z2023-07-29T12:49:00Z2023-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s11250-023-03484-9Tropical Animal Health and Production, v. 55, n. 1, 2023.1573-74380049-4747http://hdl.handle.net/11449/24673010.1007/s11250-023-03484-92-s2.0-85146925047Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengTropical Animal Health and Productioninfo:eu-repo/semantics/openAccess2023-07-29T12:49:00Zoai:repositorio.unesp.br:11449/246730Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:19:12.893955Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Genomic prediction in Brazilian Guzerá cattle: application of a single-step approach to productive and reproductive traits
title Genomic prediction in Brazilian Guzerá cattle: application of a single-step approach to productive and reproductive traits
spellingShingle Genomic prediction in Brazilian Guzerá cattle: application of a single-step approach to productive and reproductive traits
Carrara, Eula Regina
Brazilian Guzerá cattle
Productive and reproductive traits
Single-step approach
title_short Genomic prediction in Brazilian Guzerá cattle: application of a single-step approach to productive and reproductive traits
title_full Genomic prediction in Brazilian Guzerá cattle: application of a single-step approach to productive and reproductive traits
title_fullStr Genomic prediction in Brazilian Guzerá cattle: application of a single-step approach to productive and reproductive traits
title_full_unstemmed Genomic prediction in Brazilian Guzerá cattle: application of a single-step approach to productive and reproductive traits
title_sort Genomic prediction in Brazilian Guzerá cattle: application of a single-step approach to productive and reproductive traits
author Carrara, Eula Regina
author_facet Carrara, Eula Regina
Peixoto, Maria Gabriela Campolina Diniz
da Silva, Alessandra Alves [UNESP]
Bruneli, Frank Angelo Tomita
Ventura, Henrique Torres
Zadra, Lenira El Faro
Josahkian, Luiz Antônio
Veroneze, Renata
Lopes, Paulo Sávio
author_role author
author2 Peixoto, Maria Gabriela Campolina Diniz
da Silva, Alessandra Alves [UNESP]
Bruneli, Frank Angelo Tomita
Ventura, Henrique Torres
Zadra, Lenira El Faro
Josahkian, Luiz Antônio
Veroneze, Renata
Lopes, Paulo Sávio
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Federal University of Viçosa
Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
Universidade Estadual Paulista (UNESP)
Brazilian Association of Zebu Breeders
Brazilian Center for the Genetic Improvement of Guzerá
dc.contributor.author.fl_str_mv Carrara, Eula Regina
Peixoto, Maria Gabriela Campolina Diniz
da Silva, Alessandra Alves [UNESP]
Bruneli, Frank Angelo Tomita
Ventura, Henrique Torres
Zadra, Lenira El Faro
Josahkian, Luiz Antônio
Veroneze, Renata
Lopes, Paulo Sávio
dc.subject.por.fl_str_mv Brazilian Guzerá cattle
Productive and reproductive traits
Single-step approach
topic Brazilian Guzerá cattle
Productive and reproductive traits
Single-step approach
description This study aimed to investigate the feasibility of genomic prediction for productive and reproductive traits in Guzerá cattle using single-step genomic best linear unbiased prediction (ssGBLUP). Evaluations included the 305-day cumulative yields (first lactation, in kg) of milk, lactose, protein, fat, and total solids; adjusted body weight (kg) at the ages of 450, 365, and 210 days; and age at first calving (in days), from a database containing 197,283 measurements from Guzerá males and females born between 1954 and 2018. The pedigree included 433,823 animals spanning up to 14 overlapping generations. A total of 1618 animals were genotyped. The analyses were performed using ssGBLUP and traditional BLUP methods. Predictive ability and bias were accessed using cross-validation: predictive ability was similar between the methods and ranged from 0.27 to 0.47 for the genomic-based model and from 0.30 to 0.45 for the pedigree-based model; the bias was also similar between the methods, ranging from 0.88 to 1.35 in the genomic-based model and from 0.96 to 1.41 in the pedigree-based model. The individual accuracies of breeding values were evidently increased in the genomic evaluation, with values ranging from 0.41 to 0.56 in the genomic-based model and from 0.26 to 0.54 in the pedigree-based model. Even based on a small number of genotyped animals and a small database for some traits, the results suggest that ssGBLUP is feasible and may be applied to national genetic evaluation of the breed to increase the accuracy of breeding values without greatly impacting predictive ability and bias.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T12:49:00Z
2023-07-29T12:49:00Z
2023-02-01
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/s11250-023-03484-9
Tropical Animal Health and Production, v. 55, n. 1, 2023.
1573-7438
0049-4747
http://hdl.handle.net/11449/246730
10.1007/s11250-023-03484-9
2-s2.0-85146925047
url http://dx.doi.org/10.1007/s11250-023-03484-9
http://hdl.handle.net/11449/246730
identifier_str_mv Tropical Animal Health and Production, v. 55, n. 1, 2023.
1573-7438
0049-4747
10.1007/s11250-023-03484-9
2-s2.0-85146925047
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.source.none.fl_str_mv Scopus
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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