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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; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
24/10/2012 |
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Data da última atualização: |
16/02/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
RESENDE, M. D. V. de; RESENDE JUNIOR, M. F. R.; SANSALONI, C. P.; PETROLI, C. D.; MISSIAGGIA, A. A.; AGUIAR, A. M.; ABAD, J. M.; TAKAHASHI, E. K.; ROSADO, A. M.; FARIA, D. A.; PAPPAS JUNIOR, G. J.; KILIAN, A.; GRATTAPAGLIA, D. |
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Afiliação: |
MARCOS DEON VILELA DE RESENDE, CNPF; MÁRCIO F. R. RESENDE, UFV; CAROLINA P. SANSALONI, UnB; CESAR D. PETROLI, UnB; Alexandre A. Missiaggia, 5 FIBRIA Celulose; Aurelio M. Aguiar, FIBRIA Celulose; JUPITER M. ABAD, FIBRIA CELULOSE S. A.; ELIZABETE K. TAKAHASHI, CENIBRA CELULOSE NIPO BRASILEIRA S. A.; ANTONIO M. ROSADO, CENIBRA CELULOSE NIPO BRASILEIRA S. A.; DANIELLE A. FARIA, CENARGEN; GEORGIOS JOANNIS PAPPAS JUNIOR, CENARGEN; ANDRZEJ KILIAN, DIVERSITY ARRAYS TECHNOLOGY; DARIO GRATTAPAGLIA, CENARGEN. |
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Título: |
Genomic selection for growth and wood quality in Eucalyptus: capturing the missing heritability and accelerating breeding for complex traits in forest trees. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
New Phytologist, v. 194, p. 116-128, 2012. |
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Idioma: |
Inglês |
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Conteúdo: |
Genomic selection (GS) is expected to cause a paradigm shift in tree breeding by improving its speed and efficiency. By fitting all the genome-wide markers concurrently, GS can capture most of the ?missing heritability? of complex traits that quantitative trait locus (QTL) and association mapping classically fail to explain. Experimental support of GS is now required. The effectiveness of GS was assessed in two unrelated Eucalyptus breeding populations with contrasting effective population sizes (Ne = 11 and 51) genotyped with > 3000 DArT markers. Prediction models were developed for tree circumference and height growth, wood specific gravity and pulp yield using random regression best linear unbiased predictor (BLUP). Accuracies of GS varied between 0.55 and 0.88, matching the accuracies achieved by conventional phenotypic selection. Substantial proportions (74?97%) of trait heritability were captured by fitting all genome-wide markers simultaneously. Genomic regions explaining trait variation largely coincided between populations, although GS models predicted poorly across populations, likely as a result of variable patterns of linkage disequilibrium, inconsistent allelic effects and genotype environment interaction. GS brings a new perspective to the understanding of quantitative trait variation in forest trees and provides a revolutionary tool for applied tree improvement. Nevertheless population- specific predictive models will likely drive the initial applications of GS in forest tree breeding. MenosGenomic selection (GS) is expected to cause a paradigm shift in tree breeding by improving its speed and efficiency. By fitting all the genome-wide markers concurrently, GS can capture most of the ?missing heritability? of complex traits that quantitative trait locus (QTL) and association mapping classically fail to explain. Experimental support of GS is now required. The effectiveness of GS was assessed in two unrelated Eucalyptus breeding populations with contrasting effective population sizes (Ne = 11 and 51) genotyped with > 3000 DArT markers. Prediction models were developed for tree circumference and height growth, wood specific gravity and pulp yield using random regression best linear unbiased predictor (BLUP). Accuracies of GS varied between 0.55 and 0.88, matching the accuracies achieved by conventional phenotypic selection. Substantial proportions (74?97%) of trait heritability were captured by fitting all genome-wide markers simultaneously. Genomic regions explaining trait variation largely coincided between populations, although GS models predicted poorly across populations, likely as a result of variable patterns of linkage disequilibrium, inconsistent allelic effects and genotype environment interaction. GS brings a new perspective to the understanding of quantitative trait variation in forest trees and provides a revolutionary tool for applied tree improvement. Nevertheless population- specific predictive models will likely drive the initial applications of G... Mostrar Tudo |
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Palavras-Chave: |
Qualidade da madeira. |
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Thesagro: |
Eucalipto; Seleção Genética. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02465naa a2200301 a 4500
001 1937744
005 2018-02-16
008 2012 bl uuuu u00u1 u #d
100 1 $aRESENDE, M. D. V. de
245 $aGenomic selection for growth and wood quality in Eucalyptus$bcapturing the missing heritability and accelerating breeding for complex traits in forest trees.$h[electronic resource]
260 $c2012
520 $aGenomic selection (GS) is expected to cause a paradigm shift in tree breeding by improving its speed and efficiency. By fitting all the genome-wide markers concurrently, GS can capture most of the ?missing heritability? of complex traits that quantitative trait locus (QTL) and association mapping classically fail to explain. Experimental support of GS is now required. The effectiveness of GS was assessed in two unrelated Eucalyptus breeding populations with contrasting effective population sizes (Ne = 11 and 51) genotyped with > 3000 DArT markers. Prediction models were developed for tree circumference and height growth, wood specific gravity and pulp yield using random regression best linear unbiased predictor (BLUP). Accuracies of GS varied between 0.55 and 0.88, matching the accuracies achieved by conventional phenotypic selection. Substantial proportions (74?97%) of trait heritability were captured by fitting all genome-wide markers simultaneously. Genomic regions explaining trait variation largely coincided between populations, although GS models predicted poorly across populations, likely as a result of variable patterns of linkage disequilibrium, inconsistent allelic effects and genotype environment interaction. GS brings a new perspective to the understanding of quantitative trait variation in forest trees and provides a revolutionary tool for applied tree improvement. Nevertheless population- specific predictive models will likely drive the initial applications of GS in forest tree breeding.
650 $aEucalipto
650 $aSeleção Genética
653 $aQualidade da madeira
700 1 $aRESENDE JUNIOR, M. F. R.
700 1 $aSANSALONI, C. P.
700 1 $aPETROLI, C. D.
700 1 $aMISSIAGGIA, A. A.
700 1 $aAGUIAR, A. M.
700 1 $aABAD, J. M.
700 1 $aTAKAHASHI, E. K.
700 1 $aROSADO, A. M.
700 1 $aFARIA, D. A.
700 1 $aPAPPAS JUNIOR, G. J.
700 1 $aKILIAN, A.
700 1 $aGRATTAPAGLIA, D.
773 $tNew Phytologist$gv. 194, p. 116-128, 2012.
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Registro original: |
Embrapa Florestas (CNPF) |
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| Registros recuperados : 6 | |
| 2. |  | STAFEN, C. F.; PEDROLO, A. M.; PANIZ, F. P.; PEDRON, T.; BUSANELLO, C.; VENSKE, E.; MAGALHAES JUNIOR, A. M. de; BATISTA, B. L.; OLIVEIRA, A. C.; PEGORARO, C. Iron biofortification in rice: in search of morphological traits for indirect selection in breeding programs. Científica, Jaboticabal, v.47, n.2, p.199-209, 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 3 |
| Biblioteca(s): Embrapa Clima Temperado. |
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| 3. | | STAFEN, C.; PEDROLO, A. M.; SCHROEDER, L. D.; VIANA, V. E.; BUSANELLO, C.; ROSA, M. P. da; TOMM, G. O.; OLIVEIRA, A. C. de; PEGORARO, C. Seed germination and seedling growth of canola treated with abiotic factors that can affect growth and development. International Journal of Vegetable Science, mar. 2018. 9 p.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 2 |
| Biblioteca(s): Embrapa Trigo. |
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| 4. | | OLIVEIRA, V. F. de; BUSANELLO, C.; VIANA, V. E.; STAFEN, C. F.; PEDROLO, A. M.; PANIZ, F. P.; PEDRON, T.; PEREIRA, R. M.; ROSA, S. A.; MAGALHAES JUNIOR, A. M. de; OLIVEIRA, A. C. de; BATISTA, B. L.; PEGORARO, C. Assessing mineral and toxic elements content in rice grains grown in southern Brazil. Journal of Food Composition and Analysis, v. 100, 103914, July 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Clima Temperado. |
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| 5. | | PEDROLO, A. M.; PELEGRIN, A. J. de; STAFEN, C. F.; CORTÉS, D. C. L.; SILVEIRA, T.; PEGORARO, C.; DA MAIA, L. C.; ANTONIO COSTA DE OLIVEIRA; TOMM, G. O.; FIALHO, G. S. Influência da temperatura na germinação de Brassica napus L. var. oleífera. In: ENCONTRO LATINO AMERICANO DE INICIAÇÃO CIENTÍFICA, 20.; ENCONTRO LATINO AMERICANO DE PÓS-GRADUAÇÃO, 16.; ENCONTRO LATINO AMERICANO DE INICIAÇÃO CIENTÍFICA JÚNIOR, 10.; ENCONTRO DE INICIAÇÃO À DOCÊNCIA, 6., 2016, São José dos Campos. Educação e ciência para a cidadania global: [anais]. São José dos Campos: Universidade do Vale do Paraíba, 2016. 7 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Trigo. |
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| 6. | | BUSANELLO, C.; VENSKE, E.; STAFEN, C. F.; PEDROLO, A. M.; LUZ, V. K. da; PEDRON, T.; PANIZ, F. P.; BATISTA, B. L.; MAGALHAES JUNIOR, A. M. de; OLIVEIRA, A. C. DE; PEGORARO, C. Is the genetic variability of elite rice in southern Brazil really disappearing? Crop Breeding and Applied Biotechnology, v. 20, n. 2, e262620214, July 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Clima Temperado. |
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| Registros recuperados : 6 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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