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Registro Completo |
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
10/06/2015 |
Data da última atualização: |
10/06/2015 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
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. |
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. |
Título: |
Unraveling additive from nonadditive effects using genomic relationship matrices. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
Genetics, v. 198, p. 1759-1768, Dec. 2014. |
DOI: |
10.1534/genetics.114.171322 |
Idioma: |
Inglês |
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 |
Palavras-Chave: |
G-BLUP; Genomic selection; Matriz de relacionamento; Melhoramento genético; Relationship matrices; Seleção genômica. |
Categoria do assunto: |
-- |
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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10. | | ARF, O.; RODRIGUES, R. A. F.; SÁ, M. E. de; BUZETTI, S.; NASCIMENTO, V. do. Manejo do solo, água e nitrogênio no cultivo de feijão. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 39, n. 2, p. 131-138, fev. 2004 Título em inglês: Soil, water and nitrogen management in common bean cultivation.Biblioteca(s): Embrapa Unidades Centrais. |
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13. | | SA, M. E. L. de; SILVA, H. E. da; SILVA, C. S.; SANTOS, C. B. Indução de embriogênese somática em macaúba. In: CONGRESSO DA REDE BRASILEIRA DE TECNOLOGIA DE BIODIESEL, 3., 2009, Brasília, DF. Anais... Brasília, DF: MCT: MBC, 2009. p. 527-528.Tipo: Artigo em Anais de Congresso |
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14. | | MEIRA, F. de A.; SÁ, M. E. de; BUZETTI, S.; ARF, O. Doses e épocas de aplicação de nitrogênio no feijoeiro irrigado cultivado em plantio direto. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 40, n. 4, p. 383-388, abr. 2005 Título em inglês: Doses and time of nitrogen top-dressed application for common bean in no-till system.Biblioteca(s): Embrapa Unidades Centrais. |
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15. | | SÁ, M. E. L. de; ZITO, R. K.; MORAIS, F. C.; ARANTES, N. E. Fungicide effect in soybean sensorial characteristics in two environments. In: WORLD SOYBEAN RESEARCH CONFERENCE, 7.; INTERNATIONAL SOYBEAN PROCESSING AND UTILIZATION CONFERENCE, 4.; CONGRESSO BRASILEIRO DE SOJA, 3., 2004, Foz do Iguassu. Abstracts of contributed papers and posters. Londrina: Embrapa Soybean, 2004. p. 287. (Embrapa Soja. Documentos, 228). Editado por Flávio Moscardi, Clara Beatriz Hoffmann-Campo, Odilon Ferreira Saraiva, Paulo Roberto Galerani, Francisco Carlos Krzyzanowski, Mercedes Concordia Carrão-Panizzi.Biblioteca(s): Embrapa Soja. |
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19. | | CRUSCIOL, C. A. C.; LAZARINI, E.; GOLFETO, A. R.; SÁ, M. E. de. Produtividade e componentes da produção do amendoim da seca em razão da época de semeadura e da aplicação de cálcio. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 35, n. 8, p. 1549-1558, ago. 2000. Título em inglês: Productiveness and yield components in dry season peanut as affected by planting time and calcium fertilization.Biblioteca(s): Embrapa Unidades Centrais. |
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20. | | ARF, O.; RODRIGUES, R. A. F.; SÁ, M. E. de; CRUSCIOL, C. A. C. Resposta de cultivares de arroz de sequeiro ao preparo do solo e a irrigação por aspersão. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 36, n. 6, p. 871-79, jun. 2001 Título em inglês: Performance of dryland rice cultivars in function of soil preparation systems and sprinkler irrigation.Biblioteca(s): Embrapa Unidades Centrais. |
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