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| Registros recuperados : 55 | |
| 4. |  | BENAVIDES, M. V.; ECHEVARRIA, F. A. M.; SONSTEGARD, T. S.; VAN TESSEL, C. P.; GASBARRE, L. C. Genetic variability of a Bos taurus x Bos indicus cross population and validation of genomic regions influencing nematode resistance. In: SIMPOSIO DE RECURSOS GENETICOS PARA AMERICA LATINA Y EL CARIBE, 5., 2005, Montevideo, Uruguay. Resumenes... Montevideo: INIA :Facultad de Agronomía de la Universidad de la República, 2005. p. 105 SIRGEALC. Resumo 305.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 6. | | SILVA, M. V. G. B.; TASSELL, C. P. V.; SONSTEGARD, T. S.; MATUKUMALLI, L.; SCHROEDER, S.; VANRADEN, P.; WIGGANS, G. Predição do valor genético total de touros da raça Holandesa por meio de mapas densos de marcadores. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA. 45., 2008, Lavras, MG. Anais... Viçosa, MG: Sociedade Brasileira de Zootecnia, 2008.| Biblioteca(s): Embrapa Gado de Leite. |
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| 10. | | 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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| 11. | | GARCIA, J. F.; CARMO, A. S. DO; UTSUNOMIYA, Y. T.; NEVES, H. H. DE R.; CARVALHEIRO, R.; TASSELL, C. V.; SONSTEGARD, T. S.; SILVA, M. V. G. B. How bioinformatics enables livestock applied sciences in the genomic era. In: BRAZILIAN SYMPOSIUM ON BIOINFORMATICS, 2012, Heidelberg. Proceedings... Porto Alegre: Sociedade Brasileira e Computação, 2012.| Biblioteca(s): Embrapa Gado de Leite. |
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| 12. | | VENERONI, G. B.; MEIRELLES, S. L.; SANTIAGO, A. C.; SONSTEGARD, T. S.; OLIVEIRA, H. N.; YAMAGISHI, M. E. B.; ALENCAR, M. M. de; REGITANO, L. C. de A. Identification of genomic regions associated with backfat thickness in synthetic cattle. In: WORKSHOP DA REDE GENÔMICA ANIMAL, 1., 2009, Fortaleza. Anais... Fortaleza, Rede Genômica Animal, 2009.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 13. | | 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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| 14. | | ANDREOTE, A. P. D.; ROSÁRIO, M. F. do; LEDUR, M. C.; JORGE, E. C.; SONSTEGARD, T. S.; MATUKUMALLI, L.; COUTINHO, L. L. Identification and characterization of microRNAs expressed in chicken skeletal muscle. Genetics and Molecular Research, v. 6, n. 1, p. 1465-1479, 2014.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 15. | | O'BRIEN, A. M. P.; MÉSZÁROS, G.; UTSUNOMIYA, Y. T.; SONSTEGARD, T. S.; GARCIA, J. F.; TASSEL, C. P. V.; CARVALHEIRO, R.; SILVA, M. V. G. B.; SÖLKNER, J. Linkage disequilibrium levels in Bos indicus and Bos taurus cattle using medium and high density SNP chip data and different minor allele frequency distributions. Livestock Science, v. 166, p. 121-132, 2014.| Biblioteca(s): Embrapa Gado de Leite. |
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| 16. | | O'BRIEN, A. M. P.; UTSUNOMIYA, Y. T.; MÉSZÁROS, G.; BICKHART, D. M.; LIU, G. E.; TASSEL, C. P. V.; SONSTEGARD, T. S.; SILVA, M. V. G. B.; GARCIA, J. F.; SÖLKNER, J. Assessing signatures of selection through variation in linkage disequilibrium between taurine and indicine cattle. Genetics Selection Evolution, v. 46, n. 19, 2014. 14 p.| Biblioteca(s): Embrapa Gado de Leite. |
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| 17. | | MIYATA, M.; GASPARIN, G.; COUTINHO, L. L.; MARTINEZ. M. L.; MACHADO, M. A.; SILVA, M. V. G. B.; CAMPOS, A. L.; SONSTEGARD, T. S.; REGITANO, L. C. de A. Caracterização genética de uma população experimental F2 usando marcadores moleculares no cromossomo 14 ( BTA 14) de bovinos. In: CONGRESSO BRASILEIRO DE GENÉTICA , 51., 2005, Águas de Lindóia. Lindóia: SBG, 2005. p. 364| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 18. | | SILVA, M. V. G. B.; SANTOS, D. J. A. dos; BOISON, S. A.; UTSUNOMIYA, A. T. H.; CARMO, A. S.; SONSTEGARD, T. S.; COLE, J. B.; TASSELL, C. P. V. The development of genomics applied to dairy breeding. Livestock Science, v. 166, p. 66-75, 2014.| Biblioteca(s): Embrapa Gado de Leite. |
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| 19. | | REIS, D. R. de L.; PEREIRA, H. P.; EGITO, A. A. do; TORRES JUNIOR, R. A. de A.; KIM, E. S.; SONSTEGARD, T. S.; MARTINS, M. F.; PANETTO, J. C. do C.; SILVA, M. V. G. B.; MACHADO, M. A. Development of tetra-primer ARMS-PCR protocol to genotype the prolactin receptor SNP 39136666 and assessment of this SNP in Brazilian locally adapted cattle breeds. Arquivo Brasileiro e Medicina Veterinária e Zootecnia, v. 73, p. 534-538, 2021. Communication.| Biblioteca(s): Embrapa Gado de Leite. |
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| 20. | | 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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| Registros recuperados : 55 | |
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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 |
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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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