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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
20/03/2014 |
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Data da última atualização: |
22/02/2024 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
CRUZ, I. R.; GERALDO, L. A.; OLIVEIRA, F. S. DE; LEITE, L. R.; ARAUJO, F.; ZERLOTINI NETO, A.; LOPES, B. C.; ARBEX, W. A.; MACHADO, M. A.; PEIXOTO, M. G. C. D.; VERNEQUE, R. da S.; MARTINS, M. F.; SILVA, M. V. G. B.; COIMBRA, R. S.; CARVALHO, M. R. S.; OLIVEIRA, G. |
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Afiliação: |
IZINARA ROSSE CRUZ, UFMG; LUCIANA ASSIS GERALDO, UFMG; FRANCISLON SILVA DE OLIVEIRA, UFMG; LAURA RABELO LEITE, UFMG; FLAVIO ARAUJO, FIOCRUZ; ADHEMAR ZERLOTINI NETO, CNPTIA; BEATRIZ C. LOPES, EPAMIG; WAGNER ANTONIO ARBEX, CNPGL; MARCO ANTONIO MACHADO, CNPGL; MARIA GABRIELA CAMPOLINA D PEIXOTO, CNPGL; RUI DA SILVA VERNEQUE, CNPGL; MARTA FONSECA MARTINS, CNPGL; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; RONEY SANTOS COIMBRA, FIOCRUZ; MARIA RAQUEL SANTOS CARVALHO, UFMG; GUILHERME OLIVEIRA, FIOCRUZ. |
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Título: |
New single nucleotide polymorphisms in guzerá breed revealed by whole-genome re-sequencing. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE OF THE AB3C; BRAZILIAN SYMPOSIUM ON BIOINFORMATICS, 2013, Recife. Abstract book... Recife: Brazilian Association for Bioinformatics and Computer Biology; Braziian Computer Society, 2013. |
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Idioma: |
Inglês |
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Palavras-Chave: |
Criação de animais; Sequenciamento de próxima geração; SNPs. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/982933/1/New-single-nucleotide-polymorphisms-in-guzera-breed.pdf
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Marc: |
LEADER 01103nam a2200313 a 4500
001 1982933
005 2024-02-22
008 2013 bl uuuu u00u1 u #d
100 1 $aCRUZ, I. R.
245 $aNew single nucleotide polymorphisms in guzerá breed revealed by whole-genome re-sequencing.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE OF THE AB3C; BRAZILIAN SYMPOSIUM ON BIOINFORMATICS, 2013, Recife. Abstract book... Recife: Brazilian Association for Bioinformatics and Computer Biology; Braziian Computer Society$c2013
653 $aCriação de animais
653 $aSequenciamento de próxima geração
653 $aSNPs
700 1 $aGERALDO, L. A.
700 1 $aOLIVEIRA, F. S. DE
700 1 $aLEITE, L. R.
700 1 $aARAUJO, F.
700 1 $aZERLOTINI NETO, A.
700 1 $aLOPES, B. C.
700 1 $aARBEX, W. A.
700 1 $aMACHADO, M. A.
700 1 $aPEIXOTO, M. G. C. D.
700 1 $aVERNEQUE, R. da S.
700 1 $aMARTINS, M. F.
700 1 $aSILVA, M. V. G. B.
700 1 $aCOIMBRA, R. S.
700 1 $aCARVALHO, M. R. S.
700 1 $aOLIVEIRA, G.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
18/03/2011 |
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Data da última atualização: |
23/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
BIASSUS, I. de O.; COBUCI, J. A.; COSTA, C. N.; RORATO, N.; BRACCINI NETO, J.; CARDOSO, L. L. |
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Afiliação: |
IGOR DE OLIVEIRA BIASSUS, UFRGS; JAIME ARAÚJO COBUCI, UFRGS / CNPq; CLAUDIO NAPOLIS COSTA, CNPGL; NOGARA RORATO, UFSM; JOSÉ BRACCINI NETO, UFRGS; LEANDRO LUNARDINI CARDOSO, UFRGS. |
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Título: |
Persistence in milk, fat and protein production of primiparous Holstein cows by random regression models. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
Revista Brasileira de Zootecnia, v. 39, n. 12, p. 2617-2624, 2010. |
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DOI: |
https://doi.org/10.1590/S1516-35982010001200009 |
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Idioma: |
Inglês |
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Conteúdo: |
Total numbers of 56,508, 35,091 and 8,326 records of milk, fat, and protein test-day yields, respectively, were used to estimate genetic parameters for six persistency measures on milk, fat and protein productions of Holstein cows reared in Minas Gerais state. Covariance components for additive genetic effects and permanent environmental effects were estimated by REML in random regression models using Legendre polynomials from the third to the sixth order. Overall, models with the highest orders of Legendre polynomials showed the best quality of adjustments of these productive records. Heritability estimates obtained by the models for persistence in milk, fat, and protein yields ranged from 0.04 to 0.32, from 0.00 to 0.23, and from 0.00 to 0.27, respectively. Values of genetic correlation estimates between persistence and total 305-day milk, fat, and protein yields ranged from -0.38 to 0.54, from -0.39 to 0.97, and from -0.78 to 0.67, respectively. Persistence measurement proposed by Jakobsen (PS2) is preferential for using in further genetic evaluations for persistence in milk, fat and protein yields of Holstein cows in Minas Gerais state. |
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Palavras-Chave: |
Correlação genética; Herdabilidade; Modelo de regressão aleatória; Polinômios de Legendre. |
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Thesagro: |
Seleção. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/881454/1/Persistence-in-milk-fat-and-protein-production-of-primiparous-Holstein-cows.pdf
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Marc: |
LEADER 01983naa a2200253 a 4500
001 1881454
005 2023-01-23
008 2010 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1590/S1516-35982010001200009$2DOI
100 1 $aBIASSUS, I. de O.
245 $aPersistence in milk, fat and protein production of primiparous Holstein cows by random regression models.$h[electronic resource]
260 $c2010
520 $aTotal numbers of 56,508, 35,091 and 8,326 records of milk, fat, and protein test-day yields, respectively, were used to estimate genetic parameters for six persistency measures on milk, fat and protein productions of Holstein cows reared in Minas Gerais state. Covariance components for additive genetic effects and permanent environmental effects were estimated by REML in random regression models using Legendre polynomials from the third to the sixth order. Overall, models with the highest orders of Legendre polynomials showed the best quality of adjustments of these productive records. Heritability estimates obtained by the models for persistence in milk, fat, and protein yields ranged from 0.04 to 0.32, from 0.00 to 0.23, and from 0.00 to 0.27, respectively. Values of genetic correlation estimates between persistence and total 305-day milk, fat, and protein yields ranged from -0.38 to 0.54, from -0.39 to 0.97, and from -0.78 to 0.67, respectively. Persistence measurement proposed by Jakobsen (PS2) is preferential for using in further genetic evaluations for persistence in milk, fat and protein yields of Holstein cows in Minas Gerais state.
650 $aSeleção
653 $aCorrelação genética
653 $aHerdabilidade
653 $aModelo de regressão aleatória
653 $aPolinômios de Legendre
700 1 $aCOBUCI, J. A.
700 1 $aCOSTA, C. N.
700 1 $aRORATO, N.
700 1 $aBRACCINI NETO, J.
700 1 $aCARDOSO, L. L.
773 $tRevista Brasileira de Zootecnia$gv. 39, n. 12, p. 2617-2624, 2010.
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