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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. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
02/08/2022 |
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Data da última atualização: |
10/11/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ROCHA, R. de F. B.; OTTO, P. I.; SILVA, M. V. G. B.; MARTINS, M. F.; MACHADO, M. A.; VERONEZE, R.; LEANDRO, F. D.; PEREIRA, S. M.; GUIMARÃES, S. E. F.; PANETTO, J. C. do C. |
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Afiliação: |
RENATA DE FATIMA BRETANHA ROCHA, Universidade Federal de Viçosa; PAMELA ITAJARA OTTO, Universidade Federal de Santa Maria; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; MARTA FONSECA MARTINS, CNPGL; MARCO ANTONIO MACHADO, CNPGL; RENATA VERONEZE, Universidade Federal de Viçosa; FELIPE DAMASCENO LEANDRO, Universidade José do Rosário Vellano - UNIFENAS; STELA NAETZOLD PEREIRA, Universidade Federal de Santa Maria; SIMONE ELIZA FACIONI GUIMARÃES, Universidade Federal de Viçosa; JOAO CLAUDIO DO CARMO PANETTO, CNPGL. |
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Título: |
Repeatability and random regression models to estimate genetic parameters for oocyte and embryo production in the Gir breed. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Animal Production Science, v. 62, n. 17, p. 1661-1670, 2022. |
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DOI: |
https://doi.org/10.1071/AN21588 |
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Idioma: |
Inglês |
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Conteúdo: |
CONTEXT - Greater production of oocytes and embryos from Gir donors contributes to greater fertility and genetic progress. AIMS - This study aimed to obtain genetic parameters for oocyte and embryo production in the Gir breed. METHODS - Repeatability and random regression models were applied to data consisting of 17 526 Ovum Pick Up observations from 1641 Gir donors from five different herds. Single and multi-trait analyses were carried out with the application of both models for the traits: number of viable oocytes, number of total oocytes and number of embryos, using the BLUPF90 family programs. Legendre polynomials of second order were used in the random regression model. KEY RESULTS - Considering the repeatability model, additive genetic variance ranged from 0.06 to 0.13 and permanent environment variance ranged from 0.05 to 0.08 for all evaluated traits. Residual variance ranged from 0.30 to 0.45. Heritability estimates were 0.10 for number of embryos, 0.24 for total oocytes, and 0.25 for viable oocytes. Repeatability estimates were moderate, ranging from 0.20 to 0.40, and genetic correlation estimates were always above 0.80. Phenotypic correlation was high only between viable and total oocytes (0.95), and moderate in the other cases. Random regression model results were consistent with those from the repeatability model. The heritability values remained similar throughout the donors? ages, with moderate values for viable and total oocytes, and low values for number of embryos. Genetic correlations among ages for each trait were moderate to high. Also, the genetic correlations between traits within each age were high, with values always above 0.7. Conclusions - Selection of Gir donors for total oocyte production at any time, between 1 and 16 years of age, might lead to an increase in the number of viable oocytes and embryos obtained, but it?s preferable at younger ages to hasten genetic progress. Repeatability models could be the best method, as they require less computational effort when compared to the random regression models and the parameter estimates do not vary substantially throughout different ages of the donor. IMPLICATIONS - The use of repeatability models to estimate genetic parameters of oocytes and embryos resulted in similar results compared to random regression models. MenosCONTEXT - Greater production of oocytes and embryos from Gir donors contributes to greater fertility and genetic progress. AIMS - This study aimed to obtain genetic parameters for oocyte and embryo production in the Gir breed. METHODS - Repeatability and random regression models were applied to data consisting of 17 526 Ovum Pick Up observations from 1641 Gir donors from five different herds. Single and multi-trait analyses were carried out with the application of both models for the traits: number of viable oocytes, number of total oocytes and number of embryos, using the BLUPF90 family programs. Legendre polynomials of second order were used in the random regression model. KEY RESULTS - Considering the repeatability model, additive genetic variance ranged from 0.06 to 0.13 and permanent environment variance ranged from 0.05 to 0.08 for all evaluated traits. Residual variance ranged from 0.30 to 0.45. Heritability estimates were 0.10 for number of embryos, 0.24 for total oocytes, and 0.25 for viable oocytes. Repeatability estimates were moderate, ranging from 0.20 to 0.40, and genetic correlation estimates were always above 0.80. Phenotypic correlation was high only between viable and total oocytes (0.95), and moderate in the other cases. Random regression model results were consistent with those from the repeatability model. The heritability values remained similar throughout the donors? ages, with moderate values for viable and total oocytes, and low values for number of ... Mostrar Tudo |
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Palavras-Chave: |
Correlação fenotípica; Correlação genética; Herdabilidade; Ovum pick up; Repetibilidade. |
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Thesagro: |
Gado Leiteiro; Gado Zebu; Ovulo; Reprodução Animal. |
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Thesaurus Nal: |
Animal reproduction; Dairy cattle; Genetic correlation; Heritability; Phenotypic correlation; Repeatability; Zebu breeds. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 03620naa a2200433 a 4500
001 2145139
005 2022-11-10
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1071/AN21588$2DOI
100 1 $aROCHA, R. de F. B.
245 $aRepeatability and random regression models to estimate genetic parameters for oocyte and embryo production in the Gir breed.$h[electronic resource]
260 $c2022
520 $aCONTEXT - Greater production of oocytes and embryos from Gir donors contributes to greater fertility and genetic progress. AIMS - This study aimed to obtain genetic parameters for oocyte and embryo production in the Gir breed. METHODS - Repeatability and random regression models were applied to data consisting of 17 526 Ovum Pick Up observations from 1641 Gir donors from five different herds. Single and multi-trait analyses were carried out with the application of both models for the traits: number of viable oocytes, number of total oocytes and number of embryos, using the BLUPF90 family programs. Legendre polynomials of second order were used in the random regression model. KEY RESULTS - Considering the repeatability model, additive genetic variance ranged from 0.06 to 0.13 and permanent environment variance ranged from 0.05 to 0.08 for all evaluated traits. Residual variance ranged from 0.30 to 0.45. Heritability estimates were 0.10 for number of embryos, 0.24 for total oocytes, and 0.25 for viable oocytes. Repeatability estimates were moderate, ranging from 0.20 to 0.40, and genetic correlation estimates were always above 0.80. Phenotypic correlation was high only between viable and total oocytes (0.95), and moderate in the other cases. Random regression model results were consistent with those from the repeatability model. The heritability values remained similar throughout the donors? ages, with moderate values for viable and total oocytes, and low values for number of embryos. Genetic correlations among ages for each trait were moderate to high. Also, the genetic correlations between traits within each age were high, with values always above 0.7. Conclusions - Selection of Gir donors for total oocyte production at any time, between 1 and 16 years of age, might lead to an increase in the number of viable oocytes and embryos obtained, but it?s preferable at younger ages to hasten genetic progress. Repeatability models could be the best method, as they require less computational effort when compared to the random regression models and the parameter estimates do not vary substantially throughout different ages of the donor. IMPLICATIONS - The use of repeatability models to estimate genetic parameters of oocytes and embryos resulted in similar results compared to random regression models.
650 $aAnimal reproduction
650 $aDairy cattle
650 $aGenetic correlation
650 $aHeritability
650 $aPhenotypic correlation
650 $aRepeatability
650 $aZebu breeds
650 $aGado Leiteiro
650 $aGado Zebu
650 $aOvulo
650 $aReprodução Animal
653 $aCorrelação fenotípica
653 $aCorrelação genética
653 $aHerdabilidade
653 $aOvum pick up
653 $aRepetibilidade
700 1 $aOTTO, P. I.
700 1 $aSILVA, M. V. G. B.
700 1 $aMARTINS, M. F.
700 1 $aMACHADO, M. A.
700 1 $aVERONEZE, R.
700 1 $aLEANDRO, F. D.
700 1 $aPEREIRA, S. M.
700 1 $aGUIMARÃES, S. E. F.
700 1 $aPANETTO, J. C. do C.
773 $tAnimal Production Science$gv. 62, n. 17, p. 1661-1670, 2022.
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Embrapa Gado de Leite (CNPGL) |
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Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
13/12/2010 |
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Data da última atualização: |
26/04/2011 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
SOUZA, P. I. de M. de; MOREIRA, C. T.; FARIAS NETO, A. L. de; SILVA, S. A. da; MONTEIRO, P. M.; NEIVA, L. C. da S.; NUNES, M. R.; VIEIRA, N. E.; SILVA, L. O. e.; TOLEDO, R. M.; NUNES JÚNIOR, J.; ARANTES, N. E.; BROGIN, R.; MELLO FILHO, O. L.; ARIAS, C. A.; TOLEDO, J. F. F. de; CARNEIRO, G. E.; KASTER, M.; ALMEIDA, A. M. R.; SOARES, R. M.; DIAS, W. P.; PIPOLO, A. E.; MOREIRA, J. U. V.; OLIVEIRA, M. F. de; CARRÃO-PANIZZI, M.; ABDELNOOR, R. V.; ALMEIDA, L. A. |
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Afiliação: |
PLINIO ITAMAR DE MELLO DE SOUZA, Ex-pesquisador da Embrapa Cerrados; CLAUDETE TEIXEIRA MOREIRA, CPAC; AUSTECLINIO LOPES DE FARIAS NETO, CPAMT; SERGIO ABUD DA SILVA, CPAC; PEDRO MANUEL MONTEIRO; LUIS CARLOS DA SILVA NEIVA; MARCOS ROGÉRIO NUNES; NERIVALDO ELÍSIO VIEIRA; LEANDRO OLIVEIRA E SILVA; REGINA MARIA TOLEDO; JOSÉ NUNES JÚNIOR; NEYLSON EUSTÁQUIO ARANTES, Pesquisador da Embrapa Soja até 28/09/2009; RODRIGO LUIS BROGIN, CNPSO; ODILON LEMOS DE MELLO FILHO, CNPSO; CARLOS ALBERTO ARRABAL ARIAS, CNPSO; JOSÉ FRANCISCO FERRAZ DE TOLEDO, Pesquisador da Embrapa Soja até 30/09/2009.; GERALDO ESTEVAM DE SOUZA CARNEIRO, CNPSO; MILTON KASTER, CNPSO; ALVARO MANUEL RODRIGUES ALMEIDA, CNPSO; RAFAEL MOREIRA SOARES, CNPSO; WALDIR PEREIRA DIAS, CNPSO; ANTONIO EDUARDO PIPOLO, CNPSO; JOSE UBIRAJARA VIEIRA MOREIRA, CNPSO; MARCELO FERNANDES DE OLIVEIRA, CNPSO; MERCEDES CONCORDIA CARRAO PANIZZI, CNPSO; RICARDO VILELA ABDELNOOR, CNPSO; LEONES ALVES DE ALMEIDA, TMG, Londrina, PR. |
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Título: |
Cultivar de soja BRSGO 7960: indicação para os estados de Goiás e Minas Gerais. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
In: FALEIRO, F. G.; FARIAS NETO, A. L. de; RIBEIRO JUNIOR, W. Q. (Ed.). Livros e cultivares apresentados no II Encontro da Sociedade Brasileira de Melhoramento de Plantas - Regional-DF. Planaltina, DF: Embrapa Cerrados, 2009. |
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Páginas: |
p. 61-62. |
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Idioma: |
Português |
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Thesagro: |
Soja; Variedade. |
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Thesaurus NAL: |
Cultivars; Soybeans. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 01477naa a2200481 a 4500
001 1869499
005 2011-04-26
008 2009 bl uuuu u00u1 u #d
100 1 $aSOUZA, P. I. de M. de
245 $aCultivar de soja BRSGO 7960$bindicação para os estados de Goiás e Minas Gerais.
260 $c2009
300 $ap. 61-62.
650 $aCultivars
650 $aSoybeans
650 $aSoja
650 $aVariedade
700 1 $aMOREIRA, C. T.
700 1 $aFARIAS NETO, A. L. de
700 1 $aSILVA, S. A. da
700 1 $aMONTEIRO, P. M.
700 1 $aNEIVA, L. C. da S.
700 1 $aNUNES, M. R.
700 1 $aVIEIRA, N. E.
700 1 $aSILVA, L. O. e.
700 1 $aTOLEDO, R. M.
700 1 $aNUNES JÚNIOR, J.
700 1 $aARANTES, N. E.
700 1 $aBROGIN, R.
700 1 $aMELLO FILHO, O. L.
700 1 $aARIAS, C. A.
700 1 $aTOLEDO, J. F. F. de
700 1 $aCARNEIRO, G. E.
700 1 $aKASTER, M.
700 1 $aALMEIDA, A. M. R.
700 1 $aSOARES, R. M.
700 1 $aDIAS, W. P.
700 1 $aPIPOLO, A. E.
700 1 $aMOREIRA, J. U. V.
700 1 $aOLIVEIRA, M. F. de
700 1 $aCARRÃO-PANIZZI, M.
700 1 $aABDELNOOR, R. V.
700 1 $aALMEIDA, L. A.
773 $tIn: FALEIRO, F. G.; FARIAS NETO, A. L. de; RIBEIRO JUNIOR, W. Q. (Ed.). Livros e cultivares apresentados no II Encontro da Sociedade Brasileira de Melhoramento de Plantas - Regional-DF. Planaltina, DF: Embrapa Cerrados, 2009.
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