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Registro Completo |
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
13/08/2021 |
Data da última atualização: |
29/12/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
TEIXEIRA, F. R. F.; NASCIMENTO, M.; CECON, P. R.; CRUZ, C. D.; SILVA, F. F. e; NASCIMENTO, A. C. C.; AZEVEDO, C. F.; MARQUES, D. B. D.; SILVA, M. V. G. B.; CARNEIRO, A. P. S.; PAIXAO, D. M. |
Afiliação: |
Universidade Federal do Piauí; Universidade Federal de Viçosa; Universidade Federal de Viçosa; Universidade Federal de Viçosa; Universidade Federal de Viçosa; A.C.C. NASCIMENTO, Universidade Federal de Viçosa; Universidade Federal de Viçosa; D.B.D. MARQUES, Universidade Federal de Viçosa; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; A.P.S. CARNEIRO, Universidade Federal de Viçosa; Universidade de São Paulo. |
Título: |
Genomic prediction of lactation curves of Girolando cattle based on nonlinear mixed models. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Genetics and Molecular Research, v. 20, n. 1, gmr18691, 2021. |
DOI: |
http://dx.doi.org/10.4238/gmr18691 |
Idioma: |
Inglês |
Conteúdo: |
Knowledge of lactation curves in dairy cattle is essential for understanding the animal production in milk production systems. Genomic prediction of lactation curves represents the genetic pattern of milk production of the animals in the herd. In this context, we made genomic predictions of lactation curves through genome-wide selection (GWS) to characterize the genetic pattern of lactation traits in Girolando cattle based on parameters estimated by nonlinear mixed effects (NLME) models. Data of 1,822 milk control records from 226 Girolando animals genotyped for 37,673 single nucleotide polymorphisms were analyzed. Nine NLME models were compared to identify the equation with the best fit. The lactation traits estimated by the best model were submitted to GWS analysis, using the Bayesian LASSO method. Then, based on the genomic estimated breeding values (GEBVs) obtained, genomic predictions of lactation curves were constructed, and the genetic parameters were calculated. Wood's equation showed the best fit among the evaluated models. Heritabilities ranged from 0.09 to 0.29 for the seven lactation variables (initial production, rates of increase and decline, lactation peak, time to peak yield, persistence and total production). The correlations among GEBVs ranged from -0.85 to 0.98. The concordances between the best animals selected according to the selected traits were greater when the correlations between GEBVs for these traits were also high. Consequently, the methodology allowed us to identify the best nonlinear model and to construct the genetic lactation curves of a Girolando cattle population, as well as to assess the differences between animals and the association between lactation variables. MenosKnowledge of lactation curves in dairy cattle is essential for understanding the animal production in milk production systems. Genomic prediction of lactation curves represents the genetic pattern of milk production of the animals in the herd. In this context, we made genomic predictions of lactation curves through genome-wide selection (GWS) to characterize the genetic pattern of lactation traits in Girolando cattle based on parameters estimated by nonlinear mixed effects (NLME) models. Data of 1,822 milk control records from 226 Girolando animals genotyped for 37,673 single nucleotide polymorphisms were analyzed. Nine NLME models were compared to identify the equation with the best fit. The lactation traits estimated by the best model were submitted to GWS analysis, using the Bayesian LASSO method. Then, based on the genomic estimated breeding values (GEBVs) obtained, genomic predictions of lactation curves were constructed, and the genetic parameters were calculated. Wood's equation showed the best fit among the evaluated models. Heritabilities ranged from 0.09 to 0.29 for the seven lactation variables (initial production, rates of increase and decline, lactation peak, time to peak yield, persistence and total production). The correlations among GEBVs ranged from -0.85 to 0.98. The concordances between the best animals selected according to the selected traits were greater when the correlations between GEBVs for these traits were also high. Consequently, the methodology a... Mostrar Tudo |
Palavras-Chave: |
Previsão genômica. |
Thesagro: |
Bovino; Curva de Lactação; Gado Leiteiro. |
Thesaurus Nal: |
Genome; Girolando; Heritability. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/225151/1/Genomic-prediction.pdf
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Marc: |
LEADER 02711naa a2200337 a 4500 001 2133535 005 2021-12-29 008 2021 bl uuuu u00u1 u #d 024 7 $ahttp://dx.doi.org/10.4238/gmr18691$2DOI 100 1 $aTEIXEIRA, F. R. F. 245 $aGenomic prediction of lactation curves of Girolando cattle based on nonlinear mixed models.$h[electronic resource] 260 $c2021 520 $aKnowledge of lactation curves in dairy cattle is essential for understanding the animal production in milk production systems. Genomic prediction of lactation curves represents the genetic pattern of milk production of the animals in the herd. In this context, we made genomic predictions of lactation curves through genome-wide selection (GWS) to characterize the genetic pattern of lactation traits in Girolando cattle based on parameters estimated by nonlinear mixed effects (NLME) models. Data of 1,822 milk control records from 226 Girolando animals genotyped for 37,673 single nucleotide polymorphisms were analyzed. Nine NLME models were compared to identify the equation with the best fit. The lactation traits estimated by the best model were submitted to GWS analysis, using the Bayesian LASSO method. Then, based on the genomic estimated breeding values (GEBVs) obtained, genomic predictions of lactation curves were constructed, and the genetic parameters were calculated. Wood's equation showed the best fit among the evaluated models. Heritabilities ranged from 0.09 to 0.29 for the seven lactation variables (initial production, rates of increase and decline, lactation peak, time to peak yield, persistence and total production). The correlations among GEBVs ranged from -0.85 to 0.98. The concordances between the best animals selected according to the selected traits were greater when the correlations between GEBVs for these traits were also high. Consequently, the methodology allowed us to identify the best nonlinear model and to construct the genetic lactation curves of a Girolando cattle population, as well as to assess the differences between animals and the association between lactation variables. 650 $aGenome 650 $aGirolando 650 $aHeritability 650 $aBovino 650 $aCurva de Lactação 650 $aGado Leiteiro 653 $aPrevisão genômica 700 1 $aNASCIMENTO, M. 700 1 $aCECON, P. R. 700 1 $aCRUZ, C. D. 700 1 $aSILVA, F. F. e 700 1 $aNASCIMENTO, A. C. C. 700 1 $aAZEVEDO, C. F. 700 1 $aMARQUES, D. B. D. 700 1 $aSILVA, M. V. G. B. 700 1 $aCARNEIRO, A. P. S. 700 1 $aPAIXAO, D. M. 773 $tGenetics and Molecular Research$gv. 20, n. 1, gmr18691, 2021.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Registros recuperados : 134 | |
43. | | ARAGÃO, F. J. L.; RIBEIRO, S. G.; FARIA, J. C.; NOGUEIRA, E.; VIANNA, G. R.; LEMOS, M.; RECH, E. L. Expression of antisense viral genes in transgenic beans results in delayed or attenuated symptoms of bean golden mosaic geminivirus. Brazilian Journal of Genetics, Ribeirão Preto, v.19, n.3, p.81, 1996. Supplement.Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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44. | | ARAGÃO, F. J. L.; RIBEIRO, S. G.; FARIA, J. C.; NOGUEIRA, E.; VIANNA, G. R.; LEMOS, M.; RECH, E. L. Expression of antisense viral genes in transgenic beans results in delayed or attenuated symptoms of bean golden mosaic geminivirus. Brazilian Journal of Genetics, v. 19, n. 3, p. 81, 1996. Supplement.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Arroz e Feijão. |
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45. | | PAPROTKA, T.; BOITEUX, L. S.; FONSECA, M. E. N.; RESENDE, R. O.; JESKE, H.; FARIA, J. C.; RIBEIRO, S. G. Genomic diversity of sweet potato geminiviruses in a Brazilian germplasm bank. Virus Research, Amsterdam, v. 149, n. 2, p. 224-233, May 2010.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Arroz e Feijão; Embrapa Hortaliças; Embrapa Recursos Genéticos e Biotecnologia. |
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46. | | RIBEIRO, S. G.; MARTIN, D. P.; LACORTE, C.; SIMÕES, I. C.; ORLANDINI, D. R. S.; INOUE-NAGATA, A. K. Molecular and biological characterization of Tomato chlorotic mottle vírus suggests that recombination underlies the evolution and diversity of Brazilian Tomato Begomoviruses. Phytopathology, Saint Paul, v. 97, n. 6, p. 702-711, 2007.Tipo: Artigo em Periódico Indexado | Circulação/Nível: Internacional - A |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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47. | | ALBUQUERQUE, L. C.; FERNANDES, F. R.; ÁVILA, A. C. de; RIBEIRO, S. G.; INQUE-NAGATA, A. K. Molecular and biological characterization of a Tomato yellow vein streak virus isolate. In: INTERNATIONAL GEMINIVIRUS SYMPOSIUM, 5.; INTERNATIONAL SSDNA COMPARATIVE VIROLOGY WORKSHOP, 3., 2007, Ouro Preto. Program e abstracts. Viçosa, MG: Universidade Federal de Viçosa, 2007. p. 93.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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48. | | INOUE-NAGATA, A. K.; RIBEIRO, S. G.; ROCHA, W. B.; ALBUQUERQUE, L. C.; ÁVILA, A. C.; GIORDANO, L. B. A new begomovirus isolated from Nicandra physaloides. Virus: Reviews & Research, Florianópolis, v. 8, n. 1, p. 186, 2003. Trabalho apresentado no 14º National Meeting of Virology, 2003, Florianópolis, SC, Brasil. Resumo.Biblioteca(s): Embrapa Hortaliças. |
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49. | | RIBEIRO, S. G.; BEZERRA, I. C.; REZENDE, R. O.; LIMA, M. F.; RESENDE, L. V.; AVILA, A. C. de. New tomato geminiviruses in mixed infections in Brazil. IN: INTERNATIONAL WORKSHOP ON BEMISIA AND GEMINIVIRAL DISEASES, 2., 1998, San Juan, Puerto Rico. Program & abstracts... San Juan, 1998. p.P-63.Biblioteca(s): Embrapa Hortaliças. |
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51. | | SILVA, T. A. L.; FONTENELE, R. S.; FARIA, J. C.; ARAGÃO, F. J. L.; RIBEIRO, S. G. Perspectiva para o uso no Brasil de feijão geneticamente modificado, baseada na diversidade genética de Bean golden mosaic vírus. In: ENCONTRO DO TALENTO ESTUDANTIL DA EMBRAPA RECURSOS GENÉTICOS E BIOTECNOLOGIA, 15., 2010, Brasília, DF. Anais: resumos dos trabalhos. Brasília, DF: Embrapa Recursos Genéticos e Biotecnologia, 2010. p. 64. Resumo 030.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Arroz e Feijão. |
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52. | | SILVA, T. A. L.; FONTENELE, R. S.; FARIA, J. C.; ARAGÃO, F. J. L.; RIBEIRO, S. G. The perspective for the use of genetically modified common beans in Brazil based on genetic diversity of Bean golden mosaic virus. In: INTERNATIONAL GEMINIVIRUS SYMPOSIUM, 6.; INTERNATIONAL ssDNA COMPARATIVE VIROLOGY WORKSHOP, 4., 2010, Guanajuato, Mexico. [Programme & abstracts]. Guanajuato: Cinvestav: Conacyt, 2010.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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53. | | SILVA, T. A. L.; FONTENELE, R. S.; FARIA, J. C.; ARAGÃO, F. J. L.; RIBEIRO, S. G. The perspective for the use of genetically modified common beans in Brazil based on genetic diversity of Bean golden mosaic virus. In: INTERNATIONAL GEMINIVIRUS SYMPOSIUM, 6.; INTERNATIONAL ssDNA COMPARATIVE VIROLOGY WORKSHOP, 4., 2010, Guanajuato, Mexico. [Programme & abstracts]. Guanajuato: Cinvestav: Conacyt, 2010. 1 CD-ROM.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Arroz e Feijão. |
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54. | | MACHADO, M. R.; CARVALHO, R. C. P.; MENDONZA, L. L.; FONSECA, M. E. N.; RIBEIRO, S. G.; BOITEUX, L. S. Phenotypic expression and spectrum of efficiency to four bipartite Begomovirus species of novel tomato resistance sources. In: SOLANACEAE CONFERENCE, 11., 2014, Porto Seguro. Book of abstracts. [s.l.]: [s.n.], 2014. p. 181 Posters 68.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Hortaliças. |
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55. | | BEZERRA, I. C.; LIMA, M. F.; RIBEIRO, S. G.; GIORDANO, L. B.; ZERBINI, F. M.; AVILA, A. C. de. Occurrence of geminivirus in tomato-producing areas in submedio São Francisco. Fitopatologia Brasileira, Brasilia, v. 22, p. 331, ago. 1997. Suplemento.Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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56. | | BEZERRA, I. C.; LIMA, M. F.; RIBEIRO, S. G.; GIORDANO, L. B.; ZERBINI, F. M.; AVILA, A. C. Occurrence of geminivirus in tomato-producing areas in Submedio Sao Francisco. Fitopatologia Brasileira, Brasília, DF, v. 22, p. 331, 1997. Suplemento. Edição dos Resumos do 30 Congresso Brasileiro de Fitopatologia, Poços de Caldas, 1997.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Hortaliças; Embrapa Semiárido. |
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58. | | LIMA, B. P.; ALVES-FREITAS, D. M. T.; GODINHO, M. T.; FARIA, J. C.; LACORTE, C.; RIBEIRO, S. G. High incidence of mixed DNA and RNA virus infections in common bean in Central Brazil. Virus Reviews & Research, Brasília, DF, v. 20, n. 2, p. 132-133, Aug./Dec. 2016. Edição dos Resumos do XXVII Brazilian Congress of Virology, XI Mercosur Meeting of Virology, Pirenópolis, GO, Sept. 2016. PIV151.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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59. | | LIMA, B. P.; ALVES-FREITAS, D. M. T.; GODINHO, M. T.; FARIA, J. C.; LACORTE, C.; RIBEIRO, S. G. High incidence of mixed DNA and RNA virus infections in common bean in Central Brazil. Virus Reviews & Research, Brasília, DF, v. 20, n. 2, p. 132-133, Aug./Dec. 2016. Ref. PIV151. Edição dos Resumos do XXVII Brazilian Congress of Virology, XI Mercosur Meeting of Virology, Pirenópolis, GO, Sept. 2016.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Arroz e Feijão. |
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60. | | VILLETH, G. R. C.; LACERDA, A. L.; LACORTE, C.; BRASILEIRO, A. C. M.; BOITEUX, L. S.; RIBEIRO, S. G. Involvement of TMV response related-protein in the defense of tomato to tomato chlorotic mottle virus. Journal of the Brazilian Society for Virology, Novo Hamburgo, v. 19, p. 218, Sept./Oct. 2014. Suppl. 2 Abstracts/Posters - Plant and Invertebrate Virology: PIV. Resumo apresentado no 25 Brazilian Congress of Virology & 9 Mercosur Meeting of Virology, 2014 - Ribeirão Preto.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Hortaliças. |
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Registros recuperados : 134 | |
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