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Registro Completo |
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
26/10/2005 |
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Data da última atualização: |
26/10/2005 |
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Autoria: |
VASCONCELOS, A. T. R.; FERREIRA, H. B.; BIZARRO, C. V.; BONATTO, S. L.; CARVALHO, M. O.; PINTO, P. M.; ALMEIDA, D. F.; ALMEIDA, L. G. P.; ALMEIDA, R.; ALVES-FILHO, L.; ASSUNÇÃO, E. N.; AZEVEDO, V. A. C.; BOGO, M. R.; BRIGIDO, M. M.; BROCCHI, M.; BURITY, H. A.; CAMARGO, A. A.; CAMARGO, S. S.; CAREPO, M. S.; CARRARO, D. M.; CASCARDO, J. C. de M.; CASTRO, L. A.; CAVALCANTI, G.; CHEMALE, G.; COLLEVATTI, R. G.; CUNHA, C. W.; DALLAGIOVANNA, B.; DAMBRÓS, B. P.; DELLAGOSTIN, O. A.; FALCÃO, C.; FANTINATTI-GARBOGGINI, F.; FELIPE, M. S. S.; FIORENTIN, L.; FRANCO, G. R.; FREITAS, N. S. A.; FRÍAS, D.; GRANGEIRO, T. B.; GRISARD, E. C.; GUIMARÃES, C. T.; HUNGRIA, M.; JARDIM, S. N.; KRIEGER, M. A.; LAURINO, J. P.; LIMA, L. F. A.; LOPES, M. I.; LORETO, E. L. S. MADEIRA, H. M. F.; MANFIO, G. P.; MARANHÃO, A. Q.; MARTINKOVICS, C. T.; MEDEIROS, S. R. B.; MOREIRA, M. A. M.; NEIVA, M.; RAMALHO-NETO, C. E.; NICOLÁS, M. F.; OLIVEIRA, S. C.; PAIXÃO, R. F. C.; PEDROSA, F. O.; PENA, S. D. J.; PEREIRA, M.; PEREIRA-FERRARI, L.; PIFFER, I.; PINTO, L. S; POTRICH, D. P.; SALIM, A. C. M.; SANTOS, F. R.; SCHMITT, R.; SCHNEIDER, M. P. C.; SCHRANK, A.; SCHRANK, I. S.; SCHUCK, A. F.; SEUANEZ, H, N.; SILVA, D. W.; SILVA, R.; SILVA, S. C.; SOARES, C. M. A.; SOUZA, K. R.; SOUZA, R. C.; STAATS, C. C.; STEFFENS, M. B. R.; TEIXEIRA, S. M. R.; URMENYI, T. P.; VAINSTEIN, M. H.; ZUCCHERATO, L. W.; SIMPSON, A. J. G.; ZAHA, A. |
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Título: |
Swine and poultry pathogens: the complete genome sequences of two strains of Mycoplasma hyopneumoniae and a strain of Mycoplasma synoviae. |
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Ano de publicação: |
2005 |
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Fonte/Imprenta: |
Journal of Bacteriology, Washington, v. 187, n. 16, p. 5568-5577, Aug. 2005. |
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Idioma: |
Inglês |
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Conteúdo: |
This work reports the results of analyses of three complete mycoplasma genomes, a pathogenic (7448) and a nonpathogenic (J) strain of the swine pathogen Mycoplasma hyopneumoniae and a strain of the avian pathogen Mycoplasma synoviae; the genome sizes of the three strains were 920,079 bp, 897,405 bp, and 799,476 bp, respectively. These genomes were compared with other sequenced mycoplasma genomes reported in the literature to examine several aspects of mycoplasma evolution. Strain-specific regions, including integrative and conjugal elements, and genome rearrangements and alterations in adhesin sequences were observed in the M. hyopneumoniae strains, and all of these were potentially related to pathogenicity. Genomic comparisons revealed that reduction in genome size implied loss of redundant metabolic pathways, with maintenance of alternative routes in different species. Horizontal gene transfer was consistently observed between M. synoviae and Mycoplasma gallisepticum. Our analyses indicated a likely transfer event of hemagglutinin-coding DNA sequences from M. gallisepticum to M. synoviae. |
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Thesagro: |
Bactéria; Doença Animal; Genoma; Suíno. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 04306naa a2201177 a 4500
001 1468553
005 2005-10-26
008 2005 bl --- 0-- u #d
100 1 $aVASCONCELOS, A. T. R.
245 $aSwine and poultry pathogens$bthe complete genome sequences of two strains of Mycoplasma hyopneumoniae and a strain of Mycoplasma synoviae.
260 $c2005
520 $aThis work reports the results of analyses of three complete mycoplasma genomes, a pathogenic (7448) and a nonpathogenic (J) strain of the swine pathogen Mycoplasma hyopneumoniae and a strain of the avian pathogen Mycoplasma synoviae; the genome sizes of the three strains were 920,079 bp, 897,405 bp, and 799,476 bp, respectively. These genomes were compared with other sequenced mycoplasma genomes reported in the literature to examine several aspects of mycoplasma evolution. Strain-specific regions, including integrative and conjugal elements, and genome rearrangements and alterations in adhesin sequences were observed in the M. hyopneumoniae strains, and all of these were potentially related to pathogenicity. Genomic comparisons revealed that reduction in genome size implied loss of redundant metabolic pathways, with maintenance of alternative routes in different species. Horizontal gene transfer was consistently observed between M. synoviae and Mycoplasma gallisepticum. Our analyses indicated a likely transfer event of hemagglutinin-coding DNA sequences from M. gallisepticum to M. synoviae.
650 $aBactéria
650 $aDoença Animal
650 $aGenoma
650 $aSuíno
700 1 $aFERREIRA, H. B.
700 1 $aBIZARRO, C. V.
700 1 $aBONATTO, S. L.
700 1 $aCARVALHO, M. O.
700 1 $aPINTO, P. M.
700 1 $aALMEIDA, D. F.
700 1 $aALMEIDA, L. G. P.
700 1 $aALMEIDA, R.
700 1 $aALVES-FILHO, L.
700 1 $aASSUNÇÃO, E. N.
700 1 $aAZEVEDO, V. A. C.
700 1 $aBOGO, M. R.
700 1 $aBRIGIDO, M. M.
700 1 $aBROCCHI, M.
700 1 $aBURITY, H. A.
700 1 $aCAMARGO, A. A.
700 1 $aCAMARGO, S. S.
700 1 $aCAREPO, M. S.
700 1 $aCARRARO, D. M.
700 1 $aCASCARDO, J. C. de M.
700 1 $aCASTRO, L. A.
700 1 $aCAVALCANTI, G.
700 1 $aCHEMALE, G.
700 1 $aCOLLEVATTI, R. G.
700 1 $aCUNHA, C. W.
700 1 $aDALLAGIOVANNA, B.
700 1 $aDAMBRÓS, B. P.
700 1 $aDELLAGOSTIN, O. A.
700 1 $aFALCÃO, C.
700 1 $aFANTINATTI-GARBOGGINI, F.
700 1 $aFELIPE, M. S. S.
700 1 $aFIORENTIN, L.
700 1 $aFRANCO, G. R.
700 1 $aFREITAS, N. S. A.
700 1 $aFRÍAS, D.
700 1 $aGRANGEIRO, T. B.
700 1 $aGRISARD, E. C.
700 1 $aGUIMARÃES, C. T.
700 1 $aHUNGRIA, M.
700 1 $aJARDIM, S. N.
700 1 $aKRIEGER, M. A.
700 1 $aLAURINO, J. P.
700 1 $aLIMA, L. F. A.
700 1 $aLOPES, M. I.
700 1 $aLORETO, E. L. S. MADEIRA, H. M. F.
700 1 $aMANFIO, G. P.
700 1 $aMARANHÃO, A. Q.
700 1 $aMARTINKOVICS, C. T.
700 1 $aMEDEIROS, S. R. B.
700 1 $aMOREIRA, M. A. M.
700 1 $aNEIVA, M.
700 1 $aRAMALHO-NETO, C. E.
700 1 $aNICOLÁS, M. F.
700 1 $aOLIVEIRA, S. C.
700 1 $aPAIXÃO, R. F. C.
700 1 $aPEDROSA, F. O.
700 1 $aPENA, S. D. J.
700 1 $aPEREIRA, M.
700 1 $aPEREIRA-FERRARI, L.
700 1 $aPIFFER, I.
700 1 $aPINTO, L. S
700 1 $aPOTRICH, D. P.
700 1 $aSALIM, A. C. M.
700 1 $aSANTOS, F. R.
700 1 $aSCHMITT, R.
700 1 $aSCHNEIDER, M. P. C.
700 1 $aSCHRANK, A.
700 1 $aSCHRANK, I. S.
700 1 $aSCHUCK, A. F.
700 1 $aSEUANEZ, H, N.
700 1 $aSILVA, D. W.
700 1 $aSILVA, R.
700 1 $aSILVA, S. C.
700 1 $aSOARES, C. M. A.
700 1 $aSOUZA, K. R.
700 1 $aSOUZA, R. C.
700 1 $aSTAATS, C. C.
700 1 $aSTEFFENS, M. B. R.
700 1 $aTEIXEIRA, S. M. R.
700 1 $aURMENYI, T. P.
700 1 $aVAINSTEIN, M. H.
700 1 $aZUCCHERATO, L. W.
700 1 $aSIMPSON, A. J. G.
700 1 $aZAHA, A.
773 $tJournal of Bacteriology, Washington$gv. 187, n. 16, p. 5568-5577, Aug. 2005.
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Registro original: |
Embrapa Soja (CNPSO) |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
04/10/2011 |
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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: |
COBUCI, J. A.; COSTA, C. N.; BRACCINI NETO, J.; FREITAS, A. F. de. |
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Afiliação: |
JAIME ARAÚJO COBUCI, UFRGS / CNPq; CLAUDIO NAPOLIS COSTA, CNPGL; JOSÉ BRACCINI NETO, UFRGS.; ARY FERREIRA DE FREITAS, Pesquisador aposentado do CNPGL. |
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Título: |
Genetic parameters for milk production by using random regression models with different alternatives of fixed regression modeling. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Revista Brasileira de Zootecnia, v. 40, n. 3, p. 557-567, 2011. |
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DOI: |
https://doi.org/10.1590/S1516-35982011000300013 |
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Idioma: |
Inglês |
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Conteúdo: |
Records of test-day milk yields of the first three lactations of 25,500 Holstein cows were used to estimate genetic parameters for milk yield by using two alternatives of definition of fixed regression of the random regression models (RRM). Legendre polynomials of fourth and fifth orders were used to model regression of fixed curve (defined based on averages of the populations or multiple sub-populations formed by grouping animals which calved at the same age and in the same season of the year) or random lactation curves (additive genetic and permanent enviroment). Akaike information criterion (AIC) and Bayesian information criterion (BIC) indicated that the models which used multiple regression of fixed lactation curves of lactation multiple regression model with fixed lactation curves had the best fit for the first lactation test-day milk yields and the models which used a single regression of fixed curve had the best fit for the second and third lactations. Heritability for milk yield during lactation estimates did not vary among models but ranged from 0.22 to 0.34, from 0.11 to 0.21, and from 0.10 to 0.20, respectively, in the first three lactations. Similarly to heridability estimates of genetic correlations did not vary among models. The use of single or multiple fixed regressions for fixed lactation curves by RRM does not influence the estimates of genetic parameters for test-day milk yield across lactations. |
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Palavras-Chave: |
Legendre polynomial; Selection; Test-day milk yield. |
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Thesaurus NAL: |
genetic correlation; heritability. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/54198/1/Genetic-parameters-for-milk.pdf
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Marc: |
LEADER 02208naa a2200229 a 4500
001 1902188
005 2023-01-23
008 2011 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1590/S1516-35982011000300013$2DOI
100 1 $aCOBUCI, J. A.
245 $aGenetic parameters for milk production by using random regression models with different alternatives of fixed regression modeling.$h[electronic resource]
260 $c2011
520 $aRecords of test-day milk yields of the first three lactations of 25,500 Holstein cows were used to estimate genetic parameters for milk yield by using two alternatives of definition of fixed regression of the random regression models (RRM). Legendre polynomials of fourth and fifth orders were used to model regression of fixed curve (defined based on averages of the populations or multiple sub-populations formed by grouping animals which calved at the same age and in the same season of the year) or random lactation curves (additive genetic and permanent enviroment). Akaike information criterion (AIC) and Bayesian information criterion (BIC) indicated that the models which used multiple regression of fixed lactation curves of lactation multiple regression model with fixed lactation curves had the best fit for the first lactation test-day milk yields and the models which used a single regression of fixed curve had the best fit for the second and third lactations. Heritability for milk yield during lactation estimates did not vary among models but ranged from 0.22 to 0.34, from 0.11 to 0.21, and from 0.10 to 0.20, respectively, in the first three lactations. Similarly to heridability estimates of genetic correlations did not vary among models. The use of single or multiple fixed regressions for fixed lactation curves by RRM does not influence the estimates of genetic parameters for test-day milk yield across lactations.
650 $agenetic correlation
650 $aheritability
653 $aLegendre polynomial
653 $aSelection
653 $aTest-day milk yield
700 1 $aCOSTA, C. N.
700 1 $aBRACCINI NETO, J.
700 1 $aFREITAS, A. F. de
773 $tRevista Brasileira de Zootecnia$gv. 40, n. 3, p. 557-567, 2011.
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