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Registros recuperados : 12 | |
4. | | LIU, G. E.; LI, R. W.; SONSTEGARD, T. S.; MATUKUMALLI, L. K.; SILVA, M. V. G. B.; VAN TASSELL, C. P. Characterization of a novel microdeletion polymorphism on BTA5 in cattle. Animal Genetics, v. 39, n. 6, p. 655-658, 2008. Biblioteca(s): Embrapa Gado de Leite. |
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5. | | BENAVIDES, M. V.; SONSTEGARD, T. S.; KEMP, S.; MUGAMBI, J. M.; GIBSON, J. P.; BAKER, R. L.; HANOTTE, O.; MARSHALL, K.; VAN TASSELL, C. Identification of novel loci associated with gastrointestinal parasite resistance in a Red Maasai x Dorper backcross population. Plos One, v. 10, n. 4, e0122797, Apr. 2015. Biblioteca(s): Embrapa Pecuária Sul; Embrapa Pesca e Aquicultura. |
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6. | | PORTO NETO, L. R.; SONSTEGARD, T. S.; LIU, G.; BICKHART, D.; GONDRO, C.; SILVA, M. V. G. B.; UTSUNOMIYA, Y. T.; GARCIA, J. F.; VAN TASSELL, C. P. Genomic divergence of indicine and taurine cattle identified through high-density SNP gebotyping. In: ADSA-ASAS ANNUAL MEETINGS, 2013, Indianápolis, Indiana. Abstracts... Indianápolis: [s.n.], 2013. Biblioteca(s): Embrapa Gado de Leite. |
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7. | | SILVA, M. V. G. B.; VERNEQUE, R. da S.; MACHADO, M. A.; PEIXOTO, M. G. C. D.; GUIMARAES, M. F. M.; ARBEX, W. A.; GUEDES, E.; VAN TASSELL, C. P.; SONSTEGARD, T. S. Genome-wide association analysis to identify loci for milk yield in Gyr breed. In: INTERNATIONAL CONFERENCE ON ANIMAL GENETICS, 32., 2010, Edinburgh. Proceedings... Edinburgh: International Society for Animal Genetics, 2010. Biblioteca(s): Embrapa Gado de Leite. |
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8. | | PORTO-NETO, L. R.; SONSTEGARD, T. S.; LIU, G. E.; BICKHART, D. M.; SILVA, M. V. G. B.; MACHADO, M. A.; UTSUNOMIYA, Y. T.; GARCIA, J. F.; GONDRO, C.; VAN TASSELL, C. P. Genomic divergence of zebu and taurine cattle identified through high-density SNP genotyping. BMC Genomics, v. 14, article 876, 2013. Disponível em: http://www.biomedcentral.com/1471-2164/14/876 Biblioteca(s): Embrapa Gado de Leite. |
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9. | | NEVES, H. H.; CARVALHEIRO, R.; O'BRIEN, A. M.; UTSUNOMIYA, Y. T.; CARMO, A. S. do; SCHENKEL, F. S.; SÖLKNER, J.; MCEWAN, J. C.; VAN TASSELL, C. P.; COLE, J. B.; SILVA, M. V. G. B.; QUEIROZ, S. A.; SONSTEGARD, T. S.; GARCIA, J. F. Accuracy of genomic predictions in Bos indicus (Nellore) cattle. Genetics Selection Evolution, v. 46, article 17, 2014. Biblioteca(s): Embrapa Gado de Leite. |
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10. | | UTSUNOMIYA, Y. T.; CARMO, A. S.; NEVES, H. H. R.; CARVALHEIRO, R.; MATOS, M. C.; ZAVAREZ, L. B.; ITO, P. K. R. K.; O'BRIEN, A. M. P.; SOLKNER, J.; PORTO-NETO, L. R.; SCHENKEL, F. S.; McEWAN, J.; COLE, J. B.; SILVA, M. V. G. B.; VAN TASSELL, C. P.; SONSTEGARD, T. S.; GARCIA, J. F. Genome-wide mapping of loci explaining variance in scrotal circumference in Nellore Cattle. Plos One v. 9, n. 2, p. 1-9, 2014. Biblioteca(s): Embrapa Gado de Leite. |
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11. | | LIU G. E.; HOU, Y. L.; ZHU, B.; CARDONE, M. F.; JIANG, L.; CELLAMARE, A.; MITRA, A.; ALEXANDER, L. J.; COUTINHO. L. L.; DELL'AQUILA, M. E.; GASBARRE, L. C.; LACALANDRA, G.; LI, R. W.; MATUKUMALLI, L. K.; NONNEMAN, D.; REGITANO, L. C. de A.; SMITH, T. P; SONG, J. Z.; SONSTEGARD, T. S.; Van TASSELL, C. P.; VENTURA, M.; EICHLER, E. E.; McDANELD, T. G.; KEELE, J. W. Analysis of copy number variations among diverse cattle breeds. Genome Research, v. 20, n. 5, p. 693-703, 2010 Biblioteca(s): Embrapa Pecuária Sudeste. |
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12. | | GIBBS, R. A.; TAYLOR, J. F.; VAN TASSELL, C. P.; BARENDSE, W.; EVERSOLE, K. A.; GILL, C. A.; GREEN, R. D.; HAMERNIK, D. L.; KAPPES, S. M.; LIEN, S.; MATUKUMALLI, L. K.; MCEWAN, J. C.; NAZARETH, L. V.; SCHNABEL, R. D.; WEINSTOCK, G. M.; WHEELER, D. A.; AJMONE-MARSAN, P.; BOETTCHER, P. J.; CAETANO, A. R.; GARCIA, J. F.; HANOTTE, O.; MARIANI, P.; SKOW, L. C.; SONSTEGARD, T. S.; WILLIAMS, J. L.; DIALLO, B.; HAILEMARIAM, L.; MARTINEZ, M. L.; MORRIS, C. A.; SILVA, L. O. C. da; SPELMAN, R. J.; MULATU, W.; ZHAO, K.; ABBEY, C. A.; AGABA, M.; ARAUJO, F. R.; BUNCH, R. J.; BURTON, J.; GORNI, C.; OLIVIER, H.; HARRISON, B. E.; LUFF, B.; MACHADO, M. A.; MWAKAYA, J.; PLASTOW, G.; SIM, W.; SMITH, T.; THOMAZ, M. B.; VALENTINI, A.; WILLIAMS, P.; WOMACK, J.; WOOLLIAMS, J. A.; LIU, Y.; QIN, X.; WORLEY, K. C.; GAO, C.; JIANG, H.; MOORE, S. S.; REN, Y.; SONG, X.-Z.; BUSTAMANTE, C. D.; HERNANDEZ, R. D.; MUZNY, D. M.; PATIL, S.; SAN LUCAS, A.; FU, Q.; KENT, M. P.; VEGA, R.; MATUKUMALLI, A.; MCWILLIAM, S.; SCLEP, G.; BRYC, K.; CHOI, J.; GAO, H.; GREFENSTETTE, J. J.; MURDOCH, B.; STELLA, A.; VILLA-ANGULO, R.; WRIGHT, M.; AERTS, J.; JANN, O.; NEGRINI, R.; GODDARD, M. E.; HAYES, B. J.; BRADLEY, D. G.; SILVA, M. V. G. B.; LAU, L. P. L.; LIU, G. E.; LYNN, D. J.; PANZITTA, F.; DODDS, K. G. Genome-wide survey of SNP variation uncovers the genetic structure of cattle breeds. Science, v. 324, n. 5926, p. 528-532, 2009. Biblioteca(s): Embrapa Gado de Leite. |
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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
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
20/12/2012 |
Data da última atualização: |
09/02/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 4 |
Autoria: |
SILVA, M. V. G. B.; VAN TASSELL, C. P.; SONSTEGARD, T. S.; COBUCI, J. A.; GASBARRE, L. C. |
Afiliação: |
MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; CURTIS P. VAN TASSELL; TAD S. SONSTEGARD; JAIME ARAUJO COBUCI, UFRGS; LOUIS C. GASBARRE. |
Título: |
Box-cox transformation and random regression models for fecal egg count data. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
Frontiers in Genetics, v. 2, article 112, 2012. |
DOI: |
https://doi.org/10.3389/fgene.2011.00112 |
Idioma: |
Inglês |
Conteúdo: |
Accurate genetic evaluation of livestock is based on appropriate modeling of phenotypic measurements. In ruminants, fecal egg count (FEC) is commonly used to measure resistance to nematodes. FEC values are not normally distributed and logarithmic transformations have been used in an effort to achieve normality before analysis. However, the transformed data are often still not normally distributed, especially when data are extremely skewed. A series of repeated FEC measurements may provide information about the population dynamics of a group or individual. A total of 6375 FEC measures were obtained for 410 animals between 1992 and 2003 from the Beltsville Agricultural Research Center Angus herd. Original data were transformed using an extension of the Box-Cox transformation to approach normality and to estimate (co)variance components. We also proposed using random regression models (RRM) for genetic and non-genetic studies of FEC. Phenotypes were analyzed using RRM and restricted maximum likelihood. Within the different orders of Legendre polynomials used, those with more parameters (order 4) adjusted FEC data best. Results indicated that the transformation of FEC data utilizing the Box-Cox transformation family was effective in reducing the skewness and kurtosis, and dramatically increased estimates of heritability, and measurements of FEC obtained in the period between 12 and 26 weeks in a 26-week experimental challenge period are genetically correlated. |
Palavras-Chave: |
Bovine; Box-cox transformation; Genetic parameters; REML. |
Thesaurus NAL: |
fecal egg count. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 02199naa a2200241 a 4500 001 1943307 005 2024-02-09 008 2012 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.3389/fgene.2011.00112$2DOI 100 1 $aSILVA, M. V. G. B. 245 $aBox-cox transformation and random regression models for fecal egg count data.$h[electronic resource] 260 $c2012 520 $aAccurate genetic evaluation of livestock is based on appropriate modeling of phenotypic measurements. In ruminants, fecal egg count (FEC) is commonly used to measure resistance to nematodes. FEC values are not normally distributed and logarithmic transformations have been used in an effort to achieve normality before analysis. However, the transformed data are often still not normally distributed, especially when data are extremely skewed. A series of repeated FEC measurements may provide information about the population dynamics of a group or individual. A total of 6375 FEC measures were obtained for 410 animals between 1992 and 2003 from the Beltsville Agricultural Research Center Angus herd. Original data were transformed using an extension of the Box-Cox transformation to approach normality and to estimate (co)variance components. We also proposed using random regression models (RRM) for genetic and non-genetic studies of FEC. Phenotypes were analyzed using RRM and restricted maximum likelihood. Within the different orders of Legendre polynomials used, those with more parameters (order 4) adjusted FEC data best. Results indicated that the transformation of FEC data utilizing the Box-Cox transformation family was effective in reducing the skewness and kurtosis, and dramatically increased estimates of heritability, and measurements of FEC obtained in the period between 12 and 26 weeks in a 26-week experimental challenge period are genetically correlated. 650 $afecal egg count 653 $aBovine 653 $aBox-cox transformation 653 $aGenetic parameters 653 $aREML 700 1 $aVAN TASSELL, C. P. 700 1 $aSONSTEGARD, T. S. 700 1 $aCOBUCI, J. A. 700 1 $aGASBARRE, L. C. 773 $tFrontiers in Genetics$gv. 2, article 112, 2012.
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