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| Registros recuperados : 12 | |
| 2. |  | CARRARA, E. R.; LOPES, P. S.; VERONEZE, R.; PEREIRA, R. J.; ZADRA, L. E. F.; PEIXOTO, M. G. C. D. Assessment of runs of homozygosity, heterozygosity-rich regions and genomic inbreeding estimates in a subpopulation of Guzerá (Bos indicus) dual-purpose cattle. Journal of Animal Breeding and Genetics, v. 141, n. 2, p. 207-219, 2024.| Biblioteca(s): Embrapa Gado de Leite. |
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| 4. | | CARRARA, E. R.; LOPES, P. S.; PEREZ, B. C.; VENTURA, R. V.; JOSAHKIAN, L. A.; PEIXOTO, M. G. C. D. Inbreeding and its effects on milk, growth, and reproductive traits in Guzerá cattle clustered by genetic similarity. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 56., 2021, Florianópolis. Animal science: challenges in production and sustainability: proceedings... Brasília, DF: Sociedade Brasileira de Zootecnia, 2021. p. 336. Evento virtual.| Biblioteca(s): Embrapa Gado de Leite. |
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| 5. | | BRITO, L. C.; PEIXOTO, M. G. C. D.; CARRARA, E. R.; SILVA, F. F. e; VENTURA, H. T.; BRUNELI, F. A. T.; LOPES, P. S. Genetic parameters for milk, growth, and reproductive traits in Guzerá cattle under tropical conditions. Tropical Animal Health and Production, v. 52, p. 2251-2257, 2020.| Biblioteca(s): Embrapa Gado de Leite. |
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| 6. | | SOARES, T. L. da S.; SANTOS, F. L. C.; PEIXOTO, M. G. C. D.; CARRARA, E. R.; BRUNELI, F. A. T.; VERONEZE, R.; LOPES, P. S. A interação genótipo-ambiente já afeta características leiteiras e idade ao primeiro parto em animais Guzerá. Revista Guzerate, ano 2, n. 2, p. 66-70, maio 2023.| Biblioteca(s): Embrapa Gado de Leite. |
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| 7. | | CARRARA, E. R.; LOPES, P. S.; BRUNELI, F. A. T.; SILVA, F. F.; JOSAHKIAN, L. A.; PEIXOTO, M. G. C. D. The inbreeding pattern by generation and its effect on milk yield, growth, and reproductive traits in Guzerá cattle. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 56., 2021, Florianópolis. Animal science: challenges in production and sustainability: proceedings... Brasília, DF: Sociedade Brasileira de Zootecnia, 2021. p. 345. Evento virtual.| Biblioteca(s): Embrapa Gado de Leite. |
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| 8. | | LIGORI, V. A.; CARDOSO, V. L.; PEIXOTO, M. G. C. D.; BRUNELI, F. A. T.; CARRARA, E. R.; ZADRA, L. E. F. Selection indexes for dairy traits in Guzera breed in Brazil. In: REUNIÃO DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 57., 2022, Campinas. Tropical animal science and pratice to feed the planet: proceedings. Brasília, DF: Sociedade Brasileira de Zootecnia; São Carlos, SP: Embrapa Pecuária Sudeste, 2022. p. 281.| Biblioteca(s): Embrapa Gado de Leite. |
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| 9. | | 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. Genomic prediction in Brazilian Guzerá cattle: application of a single-step approach to productive and reproductive traits. Tropical Animal Health and Production, v. 55, article 48, 2023.| Biblioteca(s): Embrapa Gado de Leite. |
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| 10. | | CARRARA, E. R.; PEIXOTO, M. G. C. D.; VERONEZE, R.; SILVA, F. F. e; RAMOS, P. V. B.; BRUNELI, F. A. T.; ZADRA, L. E. F.; VENTURA, H. T.; JOSAHKIAN, L. A.; LOPES, P. S. Genetic study of quantitative traits supports the use of Guzerá as dual-purpose cattle. Animal Bioscience, v. 35, n. 7, p. 955-963, 2022.| Biblioteca(s): Embrapa Gado de Leite. |
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| 11. | | CARRARA, E. R.; LOPES, P. S.; REIS, A. C. Z.; SILVA, J. X.; DIAS, L. C. de C. M.; SCHULTZ, E. B.; MARQUES, D. B. D.; SILVA, D. A. da; VERONEZE, R.; ANDRADE, R. G.; PEIXOTO, M. G. C. D. NASA POWER satellite meteorological system is a good tool for obtaining estimates of the temperature-humidity index under Brazilian conditions compared to INMET weather stations data. International Journal of Biometeorology, v. 67, n. 7, p. 1273-1277, 2023.| Biblioteca(s): Embrapa Gado de Leite. |
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| 12. | | TEIXEIRA, S. A.; MARQUES, D. B. D.; COSTA, T. C.; OLIVEIRA, H. C.; COSTA, K. A.; CARRARA, E. R.; SILVA, W. da; GUIMARÃES, J. D.; NEVES, M. N.; IBELLI, A. M. G.; CANTAO, M. E.; LEDUR, M. C.; PEIXOTO, J. de O.; GUIMARÃES, S. E. F. Transcription landscape of the early developmental biology in pigs. Animals, v. 11, n. 1443, 2021.| Biblioteca(s): Embrapa Suínos e Aves. |
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| Registros recuperados : 12 | |
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 | 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
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
23/02/2023 |
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Data da última atualização: |
06/09/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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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. |
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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. |
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Título: |
Genomic prediction in Brazilian Guzerá cattle: application of a single-step approach to productive and reproductive traits. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Tropical Animal Health and Production, v. 55, article 48, 2023. |
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DOI: |
https://doi.org/10.1007/s11250-023-03484-9 |
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Idioma: |
Inglês |
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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 |
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Palavras-Chave: |
Predição genômica. |
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Thesagro: |
Bovino; Gado Guzerá; Raça; Reprodução Animal. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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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.
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