Genomic evaluation for novel stayability traits in Nellore cattle.
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1120235 |
Resumo: | Cow stayability plays a major role on the overall profitability of the beef cattle industry, as it is directly related to reproductive efficiency and cow's longevity. Stayability (STAY63) is usually defined as the ability of the cow to calve at least three times until 76 months of age. This is a late-measured and lowly heritable trait, which consequently constrains genetic progress per time unit. Thus, the use of genomic information associated with novel stayability traits measured earlier in life will likely result in higher prediction accuracy and faster genetic progress for cow longevity. In this study, we aimed to compare pedigree-based and single-step GBLUP (ssGBLUP) methods as well as to estimate genetic correlations between the proposed stayability traits: STAY42, STAY53 and S TAY64, which are measured at 52, 64 and 76 months of cow's age, considering at least 2, 3 and 4 calving, respectively. ssGBLUP yielded the highest prediction accuracy for all traits. The heritability estimates for STAY42, STAY53, STAY63 and STAY64 were 0.090, 0.151, 0.152 and 0.143, respectively. The genetic correlations between traits ranged from 0.899 (STAY42 and STAY53) to 0.985 (STAY53 and STAY63). The high genetic correlation between STAY42 and STAY53 suggests that besides being related to cow longevity, STAY53 is also associated with the early-stage reproductive efficiency. Thus, STAY53 is recommended as a suitable selection criterion for reproductive efficiency due to its higher heritability, favourable genetic correlation with other traits, and measured earlier in life, compared with the conventional stayability trait, that is STAY63. |
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Genomic evaluation for novel stayability traits in Nellore cattle.Cow fertilityGenomic selectionThreshold modelLongevityReproductive traitsCow stayability plays a major role on the overall profitability of the beef cattle industry, as it is directly related to reproductive efficiency and cow's longevity. Stayability (STAY63) is usually defined as the ability of the cow to calve at least three times until 76 months of age. This is a late-measured and lowly heritable trait, which consequently constrains genetic progress per time unit. Thus, the use of genomic information associated with novel stayability traits measured earlier in life will likely result in higher prediction accuracy and faster genetic progress for cow longevity. In this study, we aimed to compare pedigree-based and single-step GBLUP (ssGBLUP) methods as well as to estimate genetic correlations between the proposed stayability traits: STAY42, STAY53 and S TAY64, which are measured at 52, 64 and 76 months of cow's age, considering at least 2, 3 and 4 calving, respectively. ssGBLUP yielded the highest prediction accuracy for all traits. The heritability estimates for STAY42, STAY53, STAY63 and STAY64 were 0.090, 0.151, 0.152 and 0.143, respectively. The genetic correlations between traits ranged from 0.899 (STAY42 and STAY53) to 0.985 (STAY53 and STAY63). The high genetic correlation between STAY42 and STAY53 suggests that besides being related to cow longevity, STAY53 is also associated with the early-stage reproductive efficiency. Thus, STAY53 is recommended as a suitable selection criterion for reproductive efficiency due to its higher heritability, favourable genetic correlation with other traits, and measured earlier in life, compared with the conventional stayability trait, that is STAY63.Pedro Vital Brasil Ramos, Universidade Federal de Viçosa - UFV/Departamento de Ciência Animal; Fabyano Fonseca e Silva, Universidade Federal de Viçosa - UFV/Departamento de Ciência Animal; LUIZ OTAVIO CAMPOS DA SILVA, CNPGC; Gustavo Garcia Santiago, Universidade Federal de Mato Grosso do Sul - UFMS/Faculdade de Medicina Veterinária e Ciência Animal; GILBERTO ROMEIRO DE OLIVEIRA MENEZE, CNPGC; José Marcelo Soriano Viana, Universidade Federal de Viçosa - UFV/Departmento de Biologia; ROBERTO AUGUSTO DE A TORRES JUNIOR, CNPGC; ANDREA GONDO, CNPGC; Luiz F. Brito, Purdue University/Department of Animal Sciences.RAMOS, P. V. B.SILVA, F. F. eSILVA, L. O. C. daSANTIAGO, G. G.MENEZES, G. R. de O.VIANA, J. M. S.TORRES JUNIOR, R. A. de A.GONDO, A.LUIZ F. BRITO2020-02-13T18:17:19Z2020-02-13T18:17:19Z2020-02-1320202020-04-20T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleReproduction in Domestic Animals, v. 55, n. 3, p. 266-273, March 2020.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1120235enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2020-02-13T18:17:26Zoai:www.alice.cnptia.embrapa.br:doc/1120235Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542020-02-13T18:17:26falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542020-02-13T18:17:26Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Genomic evaluation for novel stayability traits in Nellore cattle. |
title |
Genomic evaluation for novel stayability traits in Nellore cattle. |
spellingShingle |
Genomic evaluation for novel stayability traits in Nellore cattle. RAMOS, P. V. B. Cow fertility Genomic selection Threshold model Longevity Reproductive traits |
title_short |
Genomic evaluation for novel stayability traits in Nellore cattle. |
title_full |
Genomic evaluation for novel stayability traits in Nellore cattle. |
title_fullStr |
Genomic evaluation for novel stayability traits in Nellore cattle. |
title_full_unstemmed |
Genomic evaluation for novel stayability traits in Nellore cattle. |
title_sort |
Genomic evaluation for novel stayability traits in Nellore cattle. |
author |
RAMOS, P. V. B. |
author_facet |
RAMOS, P. V. B. SILVA, F. F. e SILVA, L. O. C. da SANTIAGO, G. G. MENEZES, G. R. de O. VIANA, J. M. S. TORRES JUNIOR, R. A. de A. GONDO, A. LUIZ F. BRITO |
author_role |
author |
author2 |
SILVA, F. F. e SILVA, L. O. C. da SANTIAGO, G. G. MENEZES, G. R. de O. VIANA, J. M. S. TORRES JUNIOR, R. A. de A. GONDO, A. LUIZ F. BRITO |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
Pedro Vital Brasil Ramos, Universidade Federal de Viçosa - UFV/Departamento de Ciência Animal; Fabyano Fonseca e Silva, Universidade Federal de Viçosa - UFV/Departamento de Ciência Animal; LUIZ OTAVIO CAMPOS DA SILVA, CNPGC; Gustavo Garcia Santiago, Universidade Federal de Mato Grosso do Sul - UFMS/Faculdade de Medicina Veterinária e Ciência Animal; GILBERTO ROMEIRO DE OLIVEIRA MENEZE, CNPGC; José Marcelo Soriano Viana, Universidade Federal de Viçosa - UFV/Departmento de Biologia; ROBERTO AUGUSTO DE A TORRES JUNIOR, CNPGC; ANDREA GONDO, CNPGC; Luiz F. Brito, Purdue University/Department of Animal Sciences. |
dc.contributor.author.fl_str_mv |
RAMOS, P. V. B. SILVA, F. F. e SILVA, L. O. C. da SANTIAGO, G. G. MENEZES, G. R. de O. VIANA, J. M. S. TORRES JUNIOR, R. A. de A. GONDO, A. LUIZ F. BRITO |
dc.subject.por.fl_str_mv |
Cow fertility Genomic selection Threshold model Longevity Reproductive traits |
topic |
Cow fertility Genomic selection Threshold model Longevity Reproductive traits |
description |
Cow stayability plays a major role on the overall profitability of the beef cattle industry, as it is directly related to reproductive efficiency and cow's longevity. Stayability (STAY63) is usually defined as the ability of the cow to calve at least three times until 76 months of age. This is a late-measured and lowly heritable trait, which consequently constrains genetic progress per time unit. Thus, the use of genomic information associated with novel stayability traits measured earlier in life will likely result in higher prediction accuracy and faster genetic progress for cow longevity. In this study, we aimed to compare pedigree-based and single-step GBLUP (ssGBLUP) methods as well as to estimate genetic correlations between the proposed stayability traits: STAY42, STAY53 and S TAY64, which are measured at 52, 64 and 76 months of cow's age, considering at least 2, 3 and 4 calving, respectively. ssGBLUP yielded the highest prediction accuracy for all traits. The heritability estimates for STAY42, STAY53, STAY63 and STAY64 were 0.090, 0.151, 0.152 and 0.143, respectively. The genetic correlations between traits ranged from 0.899 (STAY42 and STAY53) to 0.985 (STAY53 and STAY63). The high genetic correlation between STAY42 and STAY53 suggests that besides being related to cow longevity, STAY53 is also associated with the early-stage reproductive efficiency. Thus, STAY53 is recommended as a suitable selection criterion for reproductive efficiency due to its higher heritability, favourable genetic correlation with other traits, and measured earlier in life, compared with the conventional stayability trait, that is STAY63. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-02-13T18:17:19Z 2020-02-13T18:17:19Z 2020-02-13 2020 2020-04-20T11:11:11Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Reproduction in Domestic Animals, v. 55, n. 3, p. 266-273, March 2020. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1120235 |
identifier_str_mv |
Reproduction in Domestic Animals, v. 55, n. 3, p. 266-273, March 2020. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1120235 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
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Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
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EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503490086633472 |