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Registro Completo |
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Biblioteca(s): |
Embrapa Trigo. |
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Data corrente: |
10/01/2010 |
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Data da última atualização: |
15/10/2014 |
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Autoria: |
RAMÍREZ, A. I.; CORTÁZAR, S. R.; RIVEROS, B. F.; MORENO, M. O.; HACKE, E. E.; GRANGER, Z. D. |
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Título: |
Trigo de primavera Lilen-INIA. |
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Ano de publicação: |
1990 |
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Fonte/Imprenta: |
Agricultura Tecnica, Chile, v. 50, n. 4, p. 408, 1990. |
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Idioma: |
Português |
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Conteúdo: |
Lilen-INIA, a new bread wheat spring cultivar. |
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Palavras-Chave: |
Cultivar; Descrição. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00563naa a2200205 a 4500
001 1838823
005 2014-10-15
008 1990 bl --- 0-- u #d
100 1 $aRAMÍREZ, A. I.
245 $aTrigo de primavera Lilen-INIA.
260 $c1990
520 $aLilen-INIA, a new bread wheat spring cultivar.
653 $aCultivar
653 $aDescrição
700 1 $aCORTÁZAR, S. R.
700 1 $aRIVEROS, B. F.
700 1 $aMORENO, M. O.
700 1 $aHACKE, E. E.
700 1 $aGRANGER, Z. D.
773 $tAgricultura Tecnica, Chile$gv. 50, n. 4, p. 408, 1990.
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Registro original: |
Embrapa Trigo (CNPT) |
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Origem |
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Cutter |
Registro |
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Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
18/09/2013 |
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Data da última atualização: |
03/01/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
MOTA, R. R.; MARQUES, L. F. A.; LOPES, P. S.; SILVA, L. P. da; RESENDE, M. D. V. de; TORRES, R. A. |
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Afiliação: |
UFV; UNIVERSIDADE FEDERAL DO ESPIRITO SANTO; UFV; UFV; MARCOS DEON VILELA DE RESENDE, CNPF; UFV. |
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Título: |
Genetic evaluation using multi-trait and random regression models in Simmental beef cattle. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v. 12, n. 3, p. 2465-2480, 2013. |
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Idioma: |
Inglês |
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Conteúdo: |
The Brazilian Association of Simmental and Simbrasil Cattle Farmers provided 29,510 records from 10,659 Simmental beef cattle; these were used to estimate (co)variance components and genetic parameters for weights in the growth trajectory, based on multi-trait (MTM) and random regression models (RRM). The (co)variance components and genetic parameters were estimated by restricted maximum likelihood. In the MTM analysis, the likelihood ratio test was used to determine the significance of random effects included in the model and to define the most appropriate model. All random effects were significant and included in the final model. In the RRM analysis, different adjustments of polynomial orders were compared for 5 different criteria to choose the best fit model. An RRM of third order for the direct additive genetic, direct permanent environmental, maternal additive genetic, and maternal permanent environment effects was sufficient to model variance structures in the growth trajectory of the animals. The (co)variance components were generally similar in MTM and RRM. Direct heritabilities of MTM were slightly lower than RRM and varied from 0.04 to 0.42 and 0.16 to 0.45, respectively. Additive direct correlations were mostly positive and of high magnitude, being highest at closest ages. Considering the results and that pre-adjustment of the weights to standard ages is not required, RRM is recommended for genetic evaluation of Simmental beef cattle in Brazil. |
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Palavras-Chave: |
Componente de variância; Simental; Tragetória de crescimento. |
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Thesagro: |
Gado de Corte; Peso. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/89678/1/Deon-GMR-Genetic.pdf
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Marc: |
LEADER 02202naa a2200241 a 4500
001 1966526
005 2018-01-03
008 2013 bl uuuu u00u1 u #d
100 1 $aMOTA, R. R.
245 $aGenetic evaluation using multi-trait and random regression models in Simmental beef cattle.$h[electronic resource]
260 $c2013
520 $aThe Brazilian Association of Simmental and Simbrasil Cattle Farmers provided 29,510 records from 10,659 Simmental beef cattle; these were used to estimate (co)variance components and genetic parameters for weights in the growth trajectory, based on multi-trait (MTM) and random regression models (RRM). The (co)variance components and genetic parameters were estimated by restricted maximum likelihood. In the MTM analysis, the likelihood ratio test was used to determine the significance of random effects included in the model and to define the most appropriate model. All random effects were significant and included in the final model. In the RRM analysis, different adjustments of polynomial orders were compared for 5 different criteria to choose the best fit model. An RRM of third order for the direct additive genetic, direct permanent environmental, maternal additive genetic, and maternal permanent environment effects was sufficient to model variance structures in the growth trajectory of the animals. The (co)variance components were generally similar in MTM and RRM. Direct heritabilities of MTM were slightly lower than RRM and varied from 0.04 to 0.42 and 0.16 to 0.45, respectively. Additive direct correlations were mostly positive and of high magnitude, being highest at closest ages. Considering the results and that pre-adjustment of the weights to standard ages is not required, RRM is recommended for genetic evaluation of Simmental beef cattle in Brazil.
650 $aGado de Corte
650 $aPeso
653 $aComponente de variância
653 $aSimental
653 $aTragetória de crescimento
700 1 $aMARQUES, L. F. A.
700 1 $aLOPES, P. S.
700 1 $aSILVA, L. P. da
700 1 $aRESENDE, M. D. V. de
700 1 $aTORRES, R. A.
773 $tGenetics and Molecular Research$gv. 12, n. 3, p. 2465-2480, 2013.
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Embrapa Florestas (CNPF) |
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