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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: |
20/12/2012 |
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Data da última atualização: |
09/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SILVA, M. V. G. B.; VAN TASSELL, C. P.; SONSTEGARD, T. S.; COBUCI, J. A.; GASBARRE, L. C. |
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Afiliação: |
MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; CURTIS P. VAN TASSELL; TAD S. SONSTEGARD; JAIME ARAUJO COBUCI, UFRGS; LOUIS C. GASBARRE. |
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Título: |
Box-cox transformation and random regression models for fecal egg count data. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Frontiers in Genetics, v. 2, article 112, 2012. |
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DOI: |
https://doi.org/10.3389/fgene.2011.00112 |
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Idioma: |
Inglês |
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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. |
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Palavras-Chave: |
Bovine; Box-cox transformation; Genetic parameters; REML. |
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Thesaurus Nal: |
fecal egg count. |
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Categoria do assunto: |
G Melhoramento Genético |
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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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Embrapa Gado de Leite (CNPGL) |
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| Registros recuperados : 12 | |
| 5. |  | 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.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 6. | | 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.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Pecuária Sul; Embrapa Pesca e Aquicultura. |
|  |
| 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.| Tipo: Resumo em Anais de Congresso |
| 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| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| 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.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 4 |
| 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.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| 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| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| 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.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| Registros recuperados : 12 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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