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| Registros recuperados : 15 | |
| 4. |  | MOTA, R. R.; TEMPELMAN, R. J.; CARDOSO, F. F.; AGUILAR, I. G.; LOPES, P. S. Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm model. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver, British Columbia, Canada. Proceedings... Champaign: ASAS, 2014. 1 CD-ROM.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 7. | | MOTA, R. R.; SILVA, F. F.; LOPES, P. S.; TEMPELMAN, R. J.; SOLLERO, B. P.; AGUILAR, I.; CARDOSO, F. F. Analyses of reaction norms reveal new chromosome regions associated with tick resistance in cattle. Animal, v. 12, n. 2, p. 205-214, Feb. 2018.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 8. | | CARDOSO, F. F.; STEIBEL, J. P.; ROSA, G. J. M.; ERNST, C. W.; BATES, R. O.; TEMPELMAN, R. J. Assessment of different selective phenotyping design strategies for genomics studies with outbred F2 populations. Journal of Animal Science, Savoy, v. 85, p. 373, 2007. Supplement 1.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 10. | | CARDOSO, F. F.; ROSA, G. J. de M.; TEMPELMAN, R, J.; TORRES JUNIOR, R. A. de A. Modelos hierárquicos bayesianos para estimação robusta e análise de dados censurados em melhoramento animal. Revista Brasileira de Zootecnia, v.38, p. 72-80, jul. 2009. Suplemento especial. Edição dos Anais da 46. Reunião Anual da Sociedade Brasileira de Zootecnia, 2009, Maringá.| Biblioteca(s): Embrapa Gado de Corte. |
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| 12. | | MOTA, R. R.; LOPES, P. S.; TEMPELMAN, R. J.; SILVA, F. F.; AGUILAR, I.; GULIAS GOMES, C. C.; CARDOSO, F. F. Genome-enabled prediction for tick resistance in Hereford and Braford beef cattle via reaction norm models. Journal of Animal Science, v. 94, n. 5, p. 1834-1843, May 2016.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 13. | | ERNST, C. W.; STEIBEL, J. P.; ROSA, G. J. M.; TEMPELMAN, R. J.; BATES, R. O.; RILINGTON, V. D.; RAGAVENDRAN, A.; RANEY, N. E.; RAMOS, A. M.; CARDOSO, F. F.; EDWARDS, D. B. Genome-wide expression QTL (eQYL) analysis of loin muscle tissue to identify candidate genes in pigs. In: ADSA CSAS ASAS JOINT ANNUAL MEETING, 2009, Montreal. Electronic abstracts... Champaign: ADSA: ASAS, 2009. LB4. Publicado em: Jornal of Animal Science, Champaign, v. 87, p. ii, 2009. Electronic Supplement 2.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 14. | | STEIBEL, J. P.; BATES, R. O.; ROSA, G. J. M.; TEMPELMAN, R. J.; RILINGTON, V. D.; RAGAVENDRAM, A.; RANEY, N. E.; RAMOS, A. M.; CARDOSO, F. F.; EDWARDS, D. B.; ERNST, C. W. Genome-wide linkage analysis of gene expression of loin muscle tissue identifies candidate genes in pigs. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 9., 2010, Leipzig. Proceedings... Leipzig: German Society of Animal Science, 2010. 1 CD-ROM.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 15. | | STEIBEL, J. P.; BATES, R. O.; ROSA, G. J. M.; TEMPELMAN, R. J.; RILINGTON, V. D.; RAGAVENDRAN, A.; RANEY, NANCY E.; RAMOS, A. M.; CARDOSO, F. F.; EDWARDS, D. B.; ERNST, C. W. Genome-wide linkage analysis of global gene expression in loin muscle tissue identifies candidate genes in pigs. PLoS ONE, San Francisco, v. 6, n. 2, e16766, Feb. 2011.| Biblioteca(s): Embrapa Pecuária Sul. |
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| Registros recuperados : 15 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sul. |
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Data corrente: |
24/09/2014 |
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Data da última atualização: |
24/09/2014 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
MOTA, R. R.; TEMPELMAN, R. J.; CARDOSO, F. F.; AGUILAR, I. G.; LOPES, P. S. |
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Afiliação: |
Rodrigo Reis Mota, Michigan State University; Robert John Tempelman, Michigan State University; FERNANDO FLORES CARDOSO, CPPSUL; I. G. AGUILAR, INIA; Paulo Sávio Lopes, UFV. |
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Título: |
Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm model. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver, British Columbia, Canada. Proceedings... Champaign: ASAS, 2014. |
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Descrição Física: |
1 CD-ROM. |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this study was to compare a conventional genomic model (GBLUP) and its extension to a linear reaction norm model (GLRNM) specifying genotype by environment interaction (G*E) for tick resistance in Brazilian cattle. Tick counts (TC) from 4,363 Hereford and Braford cattle from 146 contemporary groups (CG) were available of which 3,591 animals had BovineSNP50 Illumina v2 BeadChip genotypes. The reaction norm covariate was based on CG estimates of TC from a first-step model. Analysis was conducted based on adapting the single step GBLUP/REML procedure. Fivefold cross validation based on K-means and random partitioning was used to compare the fit of the two models. Cross validation correlations were strong and not significantly different between models for either partitioning strategy. Nevertheless, it seems apparent that G*E for tick infestation exists and can captured by GLRNM models. |
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Thesagro: |
Gado de corte. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/109003/1/Mota-et-al.pdf
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Marc: |
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100 1 $aMOTA, R. R.
245 $aGenomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm model.$h[electronic resource]
260 $aIn: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver, British Columbia, Canada. Proceedings... Champaign: ASAS$c2014
300 $c1 CD-ROM.
520 $aThe objective of this study was to compare a conventional genomic model (GBLUP) and its extension to a linear reaction norm model (GLRNM) specifying genotype by environment interaction (G*E) for tick resistance in Brazilian cattle. Tick counts (TC) from 4,363 Hereford and Braford cattle from 146 contemporary groups (CG) were available of which 3,591 animals had BovineSNP50 Illumina v2 BeadChip genotypes. The reaction norm covariate was based on CG estimates of TC from a first-step model. Analysis was conducted based on adapting the single step GBLUP/REML procedure. Fivefold cross validation based on K-means and random partitioning was used to compare the fit of the two models. Cross validation correlations were strong and not significantly different between models for either partitioning strategy. Nevertheless, it seems apparent that G*E for tick infestation exists and can captured by GLRNM models.
650 $aGado de corte
700 1 $aTEMPELMAN, R. J.
700 1 $aCARDOSO, F. F.
700 1 $aAGUILAR, I. G.
700 1 $aLOPES, P. S.
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Embrapa Pecuária Sul (CPPSUL) |
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