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10. | | ROSSI, R. M.; MARTINS, E. N.; LOPES, P. S.; SILVA, F. F. e. Análise bayesiana univariada e bivariada para a conversão alimentar de suínos da raça Piau. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 49, n. 10, p. 754-761, out. 2014. Título em inglês: Univariate and bivariate Bayesian analysis for feed conversion of the Piau swine breed. Biblioteca(s): Embrapa Unidades Centrais. |
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12. | | ABREU, U. G. P.; LOPES, P. S.; TORRES, R. de A.; SANTOS, H. do N. Avaliação da introdução de tecnologias no sistema de produção de gado de corte no Pantanal I - descarte de matrizes. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 41., 2004, Campo Grande, MS. A produção animal e segurança alimentar: anais. Campo Grande: SBZ, 2004. 5p. CD-ROM, SiS 073. Biblioteca(s): Embrapa Pantanal. |
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16. | | 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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Registro Completo
Biblioteca(s): |
Embrapa Pecuária Sul. |
Data corrente: |
24/09/2014 |
Data da última atualização: |
24/09/2014 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
MOTA, R. R.; TEMPELMAN, R. J.; CARDOSO, F. F.; AGUILAR, I. G.; LOPES, P. S. |
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. |
Título: |
Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm model. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver, British Columbia, Canada. Proceedings... Champaign: ASAS, 2014. |
Descrição Física: |
1 CD-ROM. |
Idioma: |
Inglês |
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. |
Thesagro: |
Gado de corte. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/109003/1/Mota-et-al.pdf
|
Marc: |
LEADER 01561nam a2200181 a 4500 001 1995749 005 2014-09-24 008 2014 bl uuuu u00u1 u #d 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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