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4. | | CHUD, T. C. S.; VENTURA, R. V.; SCHENKEL. F. S.; URBINATI, I.; CARVALHEIRO, R.; REGITANO, L. C. de A.; MARCONDES, C. R.; MINARI, D. P. Accuracy of genotype imputation in Canchim cattle using FImpute and Beagle software., In: INTERNATIONAL SYMPOSIUM ON ANIMAL FUNCTIONAL GENOMICS, 5., 2013, Guarujá. Abstract... Guarujá:[ s.n.], 2013. AB.20. Biblioteca(s): Embrapa Pecuária Sudeste. |
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5. | | MOKRY, F. B.; LIMA, A. O. de; URBINATI, I.; TORRES JUNIOR, R. A. de A.; HIGA, R. H.; REGITANO, L. C. de A. Associação de SNPs com características de carcaça em uma população da raça Canchim. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 9., 2012, João Pessoa. Anais... João Pessoa: SBMA, 2012. Não paginado. SBMA 2012. Biblioteca(s): Embrapa Agricultura Digital; Embrapa Gado de Corte; Embrapa Pecuária Sudeste. |
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6. | | NASCIMENTO, G. B.; SAVEGNAGO, R. P.; URBINATI, I.; BERNARDES, P. A.; FERRAUDO, A. S.; SCHMIDT, G. S.; LEDUR, M. C.; MUNARI, D. P. The use of artificial neural networks to explore the relationship between breeding values of egg production with other phenotypic measurements in hens of a white leghorn population. In: CONGRESSO BRASILEIRO DE GENÉTICA, 58., 2012, Foz do Iguaçu. Resumos... Foz do Iguaçú: SBG, 2012. p. 38. Biblioteca(s): Embrapa Suínos e Aves. |
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7. | | BUZANSKAS, M. E.; GROSSI, D. A.; VENTURA, R. V.; CHUD, T. C. S.; URBINATI, I.; MEIRELLES, S. L. C.; MOKRY, F. B.; SCHENKEL, F. S.; REGITANO, L. C. de A.; MUNARI, D. P. Genome-wide association study on long-yearling scrotal circumference in Canchim cattle. In:WORLD CONGRESS OF GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings...Vancouver: WCGALP: Amarican Society of Animal Science, 2014. Biblioteca(s): Embrapa Pecuária Sudeste. |
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8. | | URBINATI, I.; STAFUZZA, N. B.; OLIVEIRA, M. T.; CHUD, T. C. S.; HIGA, R. H.; REGITANO, L. C. de A.; ALENCAR, M. M. de; BUZANSKAS, M. E.; MUNARI, D. P. Selection signatures in Canchim beef cattle Journal of Animal Science and Biotechnology, v. 7, p. 1-9, 2016. Na publicação: Luciana Correia de Almeida Regitano. Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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9. | | MOKRY, F. B.; HIGA, R. H.; MUDADU, M. de A.; LIMA, A. O. de; MEIRELLES, S. L. C.; SILVA, M. V. G. B.; CARDOSO, F. F.; NICIURA, S. C. M.; OLIVEIRA, M. M. de; URBINATI, I.; TULLIO, R. R.; ALENCAR, M. M. de; REGITANO, L. C. de A. Genome-wide association study for backfat thickness in Canchim beef cattle using Random Forest approach. BMC Genetics, London, v. 14, article 47, 2013. Biblioteca(s): Embrapa Gado de Leite. |
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10. | | MOKRY, F. B.; HIGA, R. H.; MUDADU, M. de A.; LIMA, A. O. de; MEIRELLES, S. L. C.; SILVA, M. V. G. B. da; CARDOSO, F. F.; OLIVEIRA, M. M. de; URBINATI, I.; NICIURA, S. C. M.; TULLIO, R. R.; ALENCAR, M. M. de; REGITANO, L. C. de A. Genome-wide association study for backfat thickness in Canchim beef cattle using Random Forest approach. BMC Genetics, London v. 14, n. 47, 2013. 11 p. Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sudeste; Embrapa Pecuária Sul. |
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Registros recuperados : 10 | |
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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: |
19/11/2013 |
Data da última atualização: |
05/02/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
MOKRY, F. B.; HIGA, R. H.; MUDADU, M. de A.; LIMA, A. O. de; MEIRELLES, S. L. C.; SILVA, M. V. G. B.; CARDOSO, F. F.; NICIURA, S. C. M.; OLIVEIRA, M. M. de; URBINATI, I.; TULLIO, R. R.; ALENCAR, M. M. de; REGITANO, L. C. de A. |
Afiliação: |
FABIANA BARICHELLO MOKRY, UFSC; ROBERTO HIROSHI HIGA, CNPTIA; MAURICIO DE ALVARENGA MUDADU, CPPSE; ANDRESSA OLIVEIRA DE LIMA, UFSC; SARAH LAGUNA CONCEIÇÃO MEIRELLES, UFLA; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; FERNANDO FLORES CARDOSO, CPPSUL; SIMONE CRISTINA MEO NICIURA, CPPSE; MAURÍCIO MORGADO DE OLIVEIRA, EMBRAPA PECUÁRIA SUDESTE; ISMAEL URBINATI, USP; RYMER RAMIZ TULLIO, CPPSE; MAURICIO MELLO DE ALENCAR, CPPSE; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE. |
Título: |
Genome-wide association study for backfat thickness in Canchim beef cattle using Random Forest approach. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
BMC Genetics, London, v. 14, article 47, 2013. |
DOI: |
https://doi.org/10.1186/1471-2156-14-47 |
Idioma: |
Inglês |
Conteúdo: |
Background - Meat quality involves many traits, such as marbling, tenderness, juiciness, and backfat thickness, all of which require attention from livestock producers. Backfat thickness improvement by means of traditional selection techniques in Canchim beef cattle has been challenging due to its low heritability, and it is measured late in an animal’s life. Therefore, the implementation of new methodologies for identification of single nucleotide polymorphisms (SNPs) linked to backfat thickness are an important strategy for genetic improvement of carcass and meat quality. Results- The set of SNPs identified by the random forest approach explained as much as 50% of the deregressed estimated breeding value (dEBV) variance associated with backfat thickness, and a small set of 5 SNPs were able to explain 34% of the dEBV for backfat thickness. Several quantitative trait loci (QTL) for fat-related traits were found in the surrounding areas of the SNPs, as well as many genes with roles in lipid metabolism. Conclusions- These results provided a better understanding of the backfat deposition and regulation pathways, and can be considered a starting point for future implementation of a genomic selection program for backfat thickness in Canchim beef cattle. |
Palavras-Chave: |
Machine learning; Tropical composition cattle. |
Thesagro: |
Bovino. |
Thesaurus NAL: |
lipid metabolism; subcutaneous fat. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 02287naa a2200337 a 4500 001 1971540 005 2024-02-05 008 2013 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1186/1471-2156-14-47$2DOI 100 1 $aMOKRY, F. B. 245 $aGenome-wide association study for backfat thickness in Canchim beef cattle using Random Forest approach.$h[electronic resource] 260 $c2013 520 $aBackground - Meat quality involves many traits, such as marbling, tenderness, juiciness, and backfat thickness, all of which require attention from livestock producers. Backfat thickness improvement by means of traditional selection techniques in Canchim beef cattle has been challenging due to its low heritability, and it is measured late in an animal’s life. Therefore, the implementation of new methodologies for identification of single nucleotide polymorphisms (SNPs) linked to backfat thickness are an important strategy for genetic improvement of carcass and meat quality. Results- The set of SNPs identified by the random forest approach explained as much as 50% of the deregressed estimated breeding value (dEBV) variance associated with backfat thickness, and a small set of 5 SNPs were able to explain 34% of the dEBV for backfat thickness. Several quantitative trait loci (QTL) for fat-related traits were found in the surrounding areas of the SNPs, as well as many genes with roles in lipid metabolism. Conclusions- These results provided a better understanding of the backfat deposition and regulation pathways, and can be considered a starting point for future implementation of a genomic selection program for backfat thickness in Canchim beef cattle. 650 $alipid metabolism 650 $asubcutaneous fat 650 $aBovino 653 $aMachine learning 653 $aTropical composition cattle 700 1 $aHIGA, R. H. 700 1 $aMUDADU, M. de A. 700 1 $aLIMA, A. O. de 700 1 $aMEIRELLES, S. L. C. 700 1 $aSILVA, M. V. G. B. 700 1 $aCARDOSO, F. F. 700 1 $aNICIURA, S. C. M. 700 1 $aOLIVEIRA, M. M. de 700 1 $aURBINATI, I. 700 1 $aTULLIO, R. R. 700 1 $aALENCAR, M. M. de 700 1 $aREGITANO, L. C. de A. 773 $tBMC Genetics, London$gv. 14, article 47, 2013.
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