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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. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
10/06/2015 |
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Data da última atualização: |
10/06/2015 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MUÑOZ, P. R.; RESENDE JUNIOR, M. F. R.; GEZAN, S. A.; RESENDE, M. D. V. de; CAMPOS, G. de los; KIRST, M.; HUBER, D.; PETER, G. F. |
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Afiliação: |
Patricio R. Muñoz, University of Florida; Marcio F. R. Resende Jr.; Salvador A. Gezan; MARCOS DEON VILELA DE RESENDE, CNPF; Gustavo de los Campos; Matias Kirst; Dudley Huber; Gary F. Peter, University of Florida. |
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Título: |
Unraveling additive from nonadditive effects using genomic relationship matrices. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Genetics, v. 198, p. 1759-1768, Dec. 2014. |
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DOI: |
10.1534/genetics.114.171322 |
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Idioma: |
Inglês |
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Conteúdo: |
The application of quantitative genetics in plant and animal breeding has largely focused on additive models, which may also capture dominance and epistatic effects. Partitioning genetic variance into its additive and nonadditive components using pedigree-based models (P-genomic best linear unbiased predictor) (P-BLUP) is difficult with most commonly available family structures. However, the availability of dense panels of molecular markers makes possible the use of additive- and dominance-realized genomic relationships for the estimation of variance components and the prediction of genetic values (G-BLUP). We evaluated height data from a multifamily population of the tree species Pinus taeda with a systematic series of models accounting for additive, dominance, and first-order epistatic interactions (additive by additive, dominance by dominance, and additive by dominance), using either pedigree- or marker-based information. We show that, compared with the pedigree, use of realized genomic relationships in marker-based models yields a substantially more precise separation of additive and nonadditive components of genetic variance. We conclude that the marker-based relationship matrices in a model including additive and nonadditive effects performed better, improving breeding value prediction. Moreover, our results suggest that, for tree height in this population, the additive and nonadditive components of genetic variance are similar in magnitude. This novel result improves our current understanding of the genetic control and architecture of a quantitative trait and should be considered when developing breeding strategies. MenosThe application of quantitative genetics in plant and animal breeding has largely focused on additive models, which may also capture dominance and epistatic effects. Partitioning genetic variance into its additive and nonadditive components using pedigree-based models (P-genomic best linear unbiased predictor) (P-BLUP) is difficult with most commonly available family structures. However, the availability of dense panels of molecular markers makes possible the use of additive- and dominance-realized genomic relationships for the estimation of variance components and the prediction of genetic values (G-BLUP). We evaluated height data from a multifamily population of the tree species Pinus taeda with a systematic series of models accounting for additive, dominance, and first-order epistatic interactions (additive by additive, dominance by dominance, and additive by dominance), using either pedigree- or marker-based information. We show that, compared with the pedigree, use of realized genomic relationships in marker-based models yields a substantially more precise separation of additive and nonadditive components of genetic variance. We conclude that the marker-based relationship matrices in a model including additive and nonadditive effects performed better, improving breeding value prediction. Moreover, our results suggest that, for tree height in this population, the additive and nonadditive components of genetic variance are similar in magnitude. This novel result improves ... Mostrar Tudo |
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Palavras-Chave: |
G-BLUP; Genomic selection; Matriz de relacionamento; Melhoramento genético; Relationship matrices; Seleção genômica. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02502naa a2200289 a 4500
001 2017257
005 2015-06-10
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1534/genetics.114.171322$2DOI
100 1 $aMUÑOZ, P. R.
245 $aUnraveling additive from nonadditive effects using genomic relationship matrices.$h[electronic resource]
260 $c2014
520 $aThe application of quantitative genetics in plant and animal breeding has largely focused on additive models, which may also capture dominance and epistatic effects. Partitioning genetic variance into its additive and nonadditive components using pedigree-based models (P-genomic best linear unbiased predictor) (P-BLUP) is difficult with most commonly available family structures. However, the availability of dense panels of molecular markers makes possible the use of additive- and dominance-realized genomic relationships for the estimation of variance components and the prediction of genetic values (G-BLUP). We evaluated height data from a multifamily population of the tree species Pinus taeda with a systematic series of models accounting for additive, dominance, and first-order epistatic interactions (additive by additive, dominance by dominance, and additive by dominance), using either pedigree- or marker-based information. We show that, compared with the pedigree, use of realized genomic relationships in marker-based models yields a substantially more precise separation of additive and nonadditive components of genetic variance. We conclude that the marker-based relationship matrices in a model including additive and nonadditive effects performed better, improving breeding value prediction. Moreover, our results suggest that, for tree height in this population, the additive and nonadditive components of genetic variance are similar in magnitude. This novel result improves our current understanding of the genetic control and architecture of a quantitative trait and should be considered when developing breeding strategies.
653 $aG-BLUP
653 $aGenomic selection
653 $aMatriz de relacionamento
653 $aMelhoramento genético
653 $aRelationship matrices
653 $aSeleção genômica
700 1 $aRESENDE JUNIOR, M. F. R.
700 1 $aGEZAN, S. A.
700 1 $aRESENDE, M. D. V. de
700 1 $aCAMPOS, G. de los
700 1 $aKIRST, M.
700 1 $aHUBER, D.
700 1 $aPETER, G. F.
773 $tGenetics$gv. 198, p. 1759-1768, Dec. 2014.
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Registro original: |
Embrapa Florestas (CNPF) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
29/05/2003 |
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Data da última atualização: |
29/05/2003 |
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Autoria: |
SILVA, R. A. M. S.; VICTORIO, A. M.; RAMIREZ, L.; DAVILA, A. M. R.; TRAJANO, V.; JANSEN, A. M. |
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Afiliação: |
EMBRAPA Pantanal (Corumba, MS). |
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Título: |
Effects of Trypanosoma evansi on the blood chemistry and hematology of coatis (Nasua nasua) naturally infected in the Pantanal, Brazil. |
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Ano de publicação: |
1997 |
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Fonte/Imprenta: |
Memorias do Instituto Oswaldo Cruz, v.92, p.122, Nov. 1997. Supplement 1. |
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Idioma: |
Inglês |
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Conteúdo: |
Equine trypanosomosis caused by Trypanosoma evansi is known in the Pantanal and subtropical areas of Argentina as "Mal de Caderas". T. evansi has the widest distribution of all species of trypanosomes and the greatest range of mammalian hosts. During the study of a wild reservoir of Trypanosoma evansi in the Pantanal, Brazil, forty coatis (Nasua nasua) were caught in three ranches located in the Nhecolandia subregion of Pantanal. Hematologic and blood chemistry values observed in infected coatis (30.0%) are given in table. These data are indicative of the importance of coatis as a wild reservoir and the importance of this parasite as causing disease in coatis. The nature of the blood and chemistry alterations need to be elucidated and mechanisms proposed. This is the first report of T. evansi causing disease in coatis. |
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Palavras-Chave: |
Animal silvestre; Coati; Infeccao natural; Natural infection; Parasita; Parasite; Wild animal. |
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Thesagro: |
Hematologia. |
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Thesaurus NAL: |
Brazil; hematology; Nasua nasua; Pantanal. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01749naa a2200325 a 4500
001 1810646
005 2003-05-29
008 1997 bl --- 0-- u #d
100 1 $aSILVA, R. A. M. S.
245 $aEffects of Trypanosoma evansi on the blood chemistry and hematology of coatis (Nasua nasua) naturally infected in the Pantanal, Brazil.
260 $c1997
520 $aEquine trypanosomosis caused by Trypanosoma evansi is known in the Pantanal and subtropical areas of Argentina as "Mal de Caderas". T. evansi has the widest distribution of all species of trypanosomes and the greatest range of mammalian hosts. During the study of a wild reservoir of Trypanosoma evansi in the Pantanal, Brazil, forty coatis (Nasua nasua) were caught in three ranches located in the Nhecolandia subregion of Pantanal. Hematologic and blood chemistry values observed in infected coatis (30.0%) are given in table. These data are indicative of the importance of coatis as a wild reservoir and the importance of this parasite as causing disease in coatis. The nature of the blood and chemistry alterations need to be elucidated and mechanisms proposed. This is the first report of T. evansi causing disease in coatis.
650 $aBrazil
650 $ahematology
650 $aNasua nasua
650 $aPantanal
650 $aHematologia
653 $aAnimal silvestre
653 $aCoati
653 $aInfeccao natural
653 $aNatural infection
653 $aParasita
653 $aParasite
653 $aWild animal
700 1 $aVICTORIO, A. M.
700 1 $aRAMIREZ, L.
700 1 $aDAVILA, A. M. R.
700 1 $aTRAJANO, V.
700 1 $aJANSEN, A. M.
773 $tMemorias do Instituto Oswaldo Cruz$gv.92, p.122, Nov. 1997. Supplement 1.
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