Genomic prediction in Brazilian Guzerá cattle: application of a single-step approach to productive and reproductive traits
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , |
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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Repositório Institucional da UNESP |
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2946 |
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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 |
|
_version_ |
1808129308731899904 |