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Registro Completo |
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
06/12/1995 |
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Data da última atualização: |
06/12/1995 |
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Autoria: |
HOLCOMBE, D. W.; BEAM, S. W.; KRYSL, L. J.; JUDKINS, M. B.; HALLFORD, D. M. |
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Título: |
Effect of age at weaning(30 vs. 60 day) on intake, growth, serum hormone and metabolite profiles in young ewe and ram lambs. |
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Ano de publicação: |
1995 |
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Fonte/Imprenta: |
Canadian Journal of Animal Science, v.75, n.2, p.209-218, 1995. |
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Idioma: |
Inglês |
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Conteúdo: |
The objectives of this study were to determine whether difference in weaning age were associated with chages in serum insulin, GH, prolac- tin, IGF-I, and metabolite profiles, and on growth performance in young ewe and ram lambs. |
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Palavras-Chave: |
Desmame. |
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Thesagro: |
Crescimento; Ovino. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00841naa a2200205 a 4500
001 1516624
005 1995-12-06
008 1995 bl uuuu u00u1 u #d
100 1 $aHOLCOMBE, D. W.
245 $aEffect of age at weaning(30 vs. 60 day) on intake, growth, serum hormone and metabolite profiles in young ewe and ram lambs.
260 $c1995
520 $aThe objectives of this study were to determine whether difference in weaning age were associated with chages in serum insulin, GH, prolac- tin, IGF-I, and metabolite profiles, and on growth performance in young ewe and ram lambs.
650 $aCrescimento
650 $aOvino
653 $aDesmame
700 1 $aBEAM, S. W.
700 1 $aKRYSL, L. J.
700 1 $aJUDKINS, M. B.
700 1 $aHALLFORD, D. M.
773 $tCanadian Journal of Animal Science$gv.75, n.2, p.209-218, 1995.
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Registro original: |
Embrapa Caprinos e Ovinos (CNPC) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
26/11/2018 |
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Data da última atualização: |
27/11/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
ALVES, R. S.; ROCHA, J. R. do A. de C.; TEODORO, P. E.; RESENDE, M. D. V. de; HENRIQUES, E. P.; SILVA, L. A.; CARNEIRO, P. C. S.; BHERING, L. L. |
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Afiliação: |
Rodrigo Silva Alves, UFV; João Romero do Amaral Santos de Carvalho Rocha, UFV; Paulo Eduardo Teodoro, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; Eduardo Pinheiro Henriques, Silviculture Genes; Lidiane Aparecida Silva, UFV; Pedro Crescêncio Souza Carneiro, UFV; Leonardo Lopes Bhering, UFV. |
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Título: |
Multiple-trait BLUP: a suitable strategy for genetic selection of Eucalyptus. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Tree Genetics & Genomes, v. 14, n. 5, article 77, Oct. 2018. 8 p. |
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DOI: |
10.1007/s11295-018-1292-7 |
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Idioma: |
Inglês |
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Conteúdo: |
Usually, genetic selection is carried out based on several traits, which can be genetically correlated. In this case, selection bias may occur if these traits are analyzed individually. Thus, the present work aimed to evaluate the applicability and efficiency of multiple-trait best linear unbiased prediction (BLUP) in the genetic selection of Eucalyptus. The data used in this work refer to the evaluation of a partial diallel of Eucalyptus spp. in relation to height, diameter at breast height (DBH), and volume. Variance components and genetic and non-genetic parameters were estimated via residual maximum likelihood (REML). Multiple-trait BLUP led to estimates of mean additive genetic variance higher than the estimates obtained via single-trait BLUP and, consequently, led to higher estimates of narrow-sense individual interpopulational heritabilities and mean accuracies. Partial genetic correlations obtained via multiple-trait BLUP allowed a real understanding of the association between traits, differently from those obtained via single-trait BLUP. Multiple-trait BLUP led to higher gains predicted with the selection for height, DBH, and volume and can be efficiently applied in the genetic selection of Eucalyptus. |
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Palavras-Chave: |
BLUP; Diallel; Mixed model methodology. |
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Thesagro: |
Eucalipto; Melhoramento Genético Vegetal; Seleção Genética. |
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Thesaurus NAL: |
Eucalyptus; Genetic correlation; Tree breeding. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 02189naa a2200325 a 4500
001 2100094
005 2018-11-27
008 2018 bl uuuu u00u1 u #d
024 7 $a10.1007/s11295-018-1292-7$2DOI
100 1 $aALVES, R. S.
245 $aMultiple-trait BLUP$ba suitable strategy for genetic selection of Eucalyptus.$h[electronic resource]
260 $c2018
520 $aUsually, genetic selection is carried out based on several traits, which can be genetically correlated. In this case, selection bias may occur if these traits are analyzed individually. Thus, the present work aimed to evaluate the applicability and efficiency of multiple-trait best linear unbiased prediction (BLUP) in the genetic selection of Eucalyptus. The data used in this work refer to the evaluation of a partial diallel of Eucalyptus spp. in relation to height, diameter at breast height (DBH), and volume. Variance components and genetic and non-genetic parameters were estimated via residual maximum likelihood (REML). Multiple-trait BLUP led to estimates of mean additive genetic variance higher than the estimates obtained via single-trait BLUP and, consequently, led to higher estimates of narrow-sense individual interpopulational heritabilities and mean accuracies. Partial genetic correlations obtained via multiple-trait BLUP allowed a real understanding of the association between traits, differently from those obtained via single-trait BLUP. Multiple-trait BLUP led to higher gains predicted with the selection for height, DBH, and volume and can be efficiently applied in the genetic selection of Eucalyptus.
650 $aEucalyptus
650 $aGenetic correlation
650 $aTree breeding
650 $aEucalipto
650 $aMelhoramento Genético Vegetal
650 $aSeleção Genética
653 $aBLUP
653 $aDiallel
653 $aMixed model methodology
700 1 $aROCHA, J. R. do A. de C.
700 1 $aTEODORO, P. E.
700 1 $aRESENDE, M. D. V. de
700 1 $aHENRIQUES, E. P.
700 1 $aSILVA, L. A.
700 1 $aCARNEIRO, P. C. S.
700 1 $aBHERING, L. L.
773 $tTree Genetics & Genomes$gv. 14, n. 5, article 77, Oct. 2018. 8 p.
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Embrapa Florestas (CNPF) |
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