| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Gado de Leite. |
|
Data corrente: |
23/02/2023 |
|
Data da última atualização: |
06/09/2023 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
CARRARA, E. R.; PEIXOTO, M. G. C. D.; SILVA, A. A. da; BRUNELI, F. A. T.; VENTURA, H. T.; ZADRA, L. E. F.; JOSAHKIAN, L. A.; VERONEZE, R.; LOPES, P. S. |
|
Afiliação: |
EULA REGINA CARRARA, Universidade Federal de Viçosa; MARIA GABRIELA CAMPOLINA D PEIXOTO, CNPGL; ALESSANDRA ALVES DA SILVA, Universidade Estadual Paulista; FRANK ANGELO TOMITA BRUNELI, CNPGL; HENRIQUE TORRES VENTURA, Associação Brasileira dos Criadores de Zebu; LENIRA EL FARO ZADRA, Centro Brasileiro de Melhoramento Genético do Guzerá; LUIZ ANTÔNIO JOSAHKIAN, Associação Brasileira dos Criadores de Zebu; RENATA VERONEZE, Universidade Federal de Viçosa; PAULO SÁVIO LOPES, Universidade Federal de Viçosa. |
|
Título: |
Genomic prediction in Brazilian Guzerá cattle: application of a single-step approach to productive and reproductive traits. |
|
Ano de publicação: |
2023 |
|
Fonte/Imprenta: |
Tropical Animal Health and Production, v. 55, article 48, 2023. |
|
DOI: |
https://doi.org/10.1007/s11250-023-03484-9 |
|
Idioma: |
Inglês |
|
Conteúdo: |
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 (frst 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 frst 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. MenosThis 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 (frst 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 frst 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 ... Mostrar Tudo |
|
Palavras-Chave: |
Predição genômica. |
|
Thesagro: |
Bovino; Gado Guzerá; Raça; Reprodução Animal. |
|
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
|
Marc: |
LEADER 02508naa a2200289 a 4500
001 2151876
005 2023-09-06
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s11250-023-03484-9$2DOI
100 1 $aCARRARA, E. R.
245 $aGenomic prediction in Brazilian Guzerá cattle$bapplication of a single-step approach to productive and reproductive traits.$h[electronic resource]
260 $c2023
520 $aThis 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 (frst 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 frst 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.
650 $aBovino
650 $aGado Guzerá
650 $aRaça
650 $aReprodução Animal
653 $aPredição genômica
700 1 $aPEIXOTO, M. G. C. D.
700 1 $aSILVA, A. A. da
700 1 $aBRUNELI, F. A. T.
700 1 $aVENTURA, H. T.
700 1 $aZADRA, L. E. F.
700 1 $aJOSAHKIAN, L. A.
700 1 $aVERONEZE, R.
700 1 $aLOPES, P. S.
773 $tTropical Animal Health and Production$gv. 55, article 48, 2023.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Gado de Leite (CNPGL) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 6 | |
| 1. |  | OLARTE, L. C.; DUARTE, L. F. C.; LEGUIZAMON, G. O. de C.; ARAUJO, F. R.; VERBISCK, N. V. Identificação de Mycobacterium bovis por espectrometria de massas MALDI-TOF. In: JORNADA CIENTÍFICA EMBRAPA GADO DE CORTE, 12., 2016, Campo Grande, MS. [Anais...] Brasília, DF: Embrapa, 2016. 112 p. p. 16-17 (Embrapa Gado de corte. Documentos, 227).| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
|    |
| 2. | | OLARTE, L. C.; DUARTE, L. de F. C.; LEGUIZAMON, G. O. de C.; ARAUJO, F. R.; VERBISCK, N. V. Identification and classification of Mycobacterium by MALDI-TOF mass spectrometry. In: IBERO-AMERICAN, 1.; BrMASS CONFERENCE ON MASS SPECTROMETRY, 6., 2016, Rio de Janeiro. Resumos... Campinas: Sociedade Brasileira de Espectrometria de Massas, 2016.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
| |
| 3. | | OLARTE, L. C.; VERBISCK, N. V.; ARAÚJO, F. R. de; LEGUIZAMON, G. O. de C.; DUARTE, L. de F. C. Identificação e classificação de mycobacterium por espectrometria de massas MALDI-TOF. In: CONGRESSO DO CENTRO-OESTE SOBRE DOENÇAS INFECCIOSAS EMERGENTES, REEMERGENTES E NEGLIGENCIADAS, 5., 2017. Campo Grande, MS. Anais... Campo Grande, MT: Fundação Universidade Federal do Mato Grosso do Sul. 2017. 148 p. p. 95| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
| |
| 4. | | BACANELLI, G. M.; LEGUIZAMON, G. O. de C.; OLARTE, L.; VERBISCK, N. V.; SILVA, M. R.; ARAUJO, F. R. Identificação de actinobacterias patogênicas em queijo por PCR e MALDI-TOF. In: JORNADA CIENTÍFICA EMBRAPA GADO DE CORTE, 12., 2016, Campo Grande, MS. [Anais...] Brasília, DF: Embrapa, 2016. 112 p. (Embrapa Gado de Corte. Documentos, 227). p. 60-61| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
| |
| 5. | | BACANELLI, G. M.; OLARTE, L. C.; LEGUIZAMON, G. O. de C.; SILVA, M. R.; RODIGUES, R. A.; PASQUATTI, T. N.; CARNEIRO, P. A.; ETGES, R. N.; ARAUJO, F. R.; VERBISCK, N. V. Diagnóstico de tuberculose bovina: avanços na identificação de Mycobacterium bovis por espectrometria de massas MALDI-TOF. Campo Grande, MS: Embrapa Gado de Corte, 2020. (Embrapa Gado de Corte. Comunicado Técnico, 146)| Tipo: Comunicado Técnico/Recomendações Técnicas |
| Biblioteca(s): Embrapa Gado de Corte. |
| |
| 6. | | BACANELLI, G.; OLARTE, L. C.; SILVA, M. R.; RODRIGUES, R. A.; CARNEIRO, P. A. M.; KANEENE, J. B.; PASQUATTI, T. N.; TAKATANI, H.; ZUMÁRRAGA, M. J.; ETGES, R. N.; ARAUJO, F. R.; VERBISCK, N. V. Matrix Assisted Laser Desorption Ionization-Time-of-Flight mass spectrometry identification of Mycobacterium bovis in Bovinae. Journal the Veterinary Medical Science, v. 81, n. 10, p.1400?1408, 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Gado de Corte; Embrapa Gado de Leite. |
| |
| Registros recuperados : 6 | |
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
