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| Registros recuperados : 24 | |
| 2. |  | PAPPAS, M.; PEREIRA, W.; INGLIS, P. W.; PADILHA, J.; KILIAN, A.; STAPE, J.; PAPPAS, G.; GRATTAPAGLIA, D. Differential patterns of genome-wide methylation within and between Eucalyptus clones across variable environments. In: PLANT AND ANIMAL GENOME CONFERENCE, 25., 2017, San Diego. [Abstracts...]. San Diego, CA: [s.n.], 2017. W339.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 3. | | SOBIERAJSKI, G. da R.; SOUSA, A. C. B. de; CANCADO, L. J.; SILVA, R. R.; PEREIRA, G.; SOUZA, A. P. de; KILIAN, A.; GARCIA, A. A. F. Caracterização do banco de germoplasma e macadâmia (Macadamia integrifolia - PROTEACEAE) a partir de marcadores SSR E DArT In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 2., 2012, Belém, PA. Anais... [S.l.]: Sociedade Brasileira de Recursos Genéticos. 4 p. 1 CD ROM| Biblioteca(s): Embrapa Gado de Corte. |
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| 4. | | STEANE, D. A.; MYBURG, A. A.; KILIAN, A.; CARLING, J.; HUTTNER, E.; SANSALONI, C. P.; PETROLI, C. D.; GRATTAPAGLIA, D.; NICOLLE, D.; VAILLANCOURT, R. E. Dart markers herald a new era of eucalyptus phylogenomics. In: INTERNATIONAL PLANT & ANIMAL GENOMES CONFERENCE, 17., 2009, San Diego, CA. [Proceedings...]. [S. l.: s.n.], 2009. W192| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 5. | | GRATTAPAGLIA, D.; RESENDE, M. D. V. de; RESENDE, M. R.; SANSALONI, C. P.; PETROLI, C. D.; MISSIAGGIA, A. A.; TAKAHASHI, E. K.; ZAMPROGNO, K. C.; KILIAN, A. Genomic selection for growth traits in Eucalyptus: accuracy within and across breeding populations. In: IUFRO TREE BIOTECHNOLOGY CONFERENCE, 2011, Arraial d'Ajuda. From genomes do integration and delivery: extended abstracts proceedings. [S.l.]: Embrapa: Veracel: IUFRO, 2011.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 6. | | GRATTAPAGLIA, D.; RESENDE, M. D. V. de; RESENDE, M. R.; SANSALONI, C. P.; PETROLI, C. D.; MISSIAGGIA, A. A.; TAKAHASHI, E. K.; ZAMPROGNO, K. C.; KILIAN, A. Genomic selection for growth traits in Eucalyptus: accuracy within and across breeding populations. In: IUFRO TREE BIOTECHNOLOGY CONFERENCE, 2011, Arraial d'Ajuda. From genomes do integration and delivery: extended abstracts proceedings. [S.l.]: Embrapa: Veracel: IUFRO, 2011. 1 CD-ROM| Biblioteca(s): Embrapa Florestas. |
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| 7. | | SANSALONI, C. P.; PETROLI, C. D.; STEANE, D. A.; VAILLANCOURT, R. E.; CARLING, J.; MYBURG, A. A.; RESENDE, M. D. V. de; WENZL, P.; KILIAN, A.; GRATTAPAGLIA, D. High-density diversity arrays technology (DArT) genotyping for cost-effective mapping and genome-wide selection in Eucalyptus. In: INTERNATIONAL PLANT & ANIMAL GENOMES CONFERENCE, 17., 2009, San Diego, CA. [Proceedings...]. [S. l.: s.n.], 2009. Resumo.| Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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| 8. | | SANSALONI, C. P.; PETROLI, C. D.; CARLING, J.; HUDSON, C.; STEANE, D. A.; MYBURG, A. M.; GRATTAPAGLIA, D.; VAILLANCOURT, R. E.; KILIAN, A. A high-density Diversity Arrays Technology (DArT) microarray for genome-wide genotyping in Eucalyptus. Plant Methods,v.6, n.16, 2010.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 9. | | GRATTAPAGLIA, D.; RESENDE, M. D. V. de; RESENDE, M. F. R.; SANSALONI, C. P.; PETROLI, C. D.; MISSIAGGIA, A. A.; TAKAHASHI, E. K.; ZAMPROGNO, K. C.; KILIAN, A. High realized accuracies of genomic selection for volume growth and wood density in Eucalyptus breeding populations with contrasting effective sizes. In: PLANT & ANIMAL GENOMES CONFERENCE, 19., 2011, San Diego. Conference... [S.l.]: International Plant & Animal Genome, 2011. Abstract. W235: Forest Trees.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 10. | | GRATTAPAGLIA, D.; RESENDE, M. D. V. de; RESENDE, M. F. R.; SANSALONI, C. P.; PETROLI, C. D.; MISSIAGGIA, A. A.; TAKAHASHI, E. K.; ZAMPROGNO, K. C.; KILIAN, A. High realized accuracies of genomic selection for volume growth and wood density in Eucalyptus breeding populations with contrasting effective sizes. In: PLANT & ANIMAL GENOMES CONFERENCE, 19., 2011, San Diego. Conference... [S.l.]: International Plant & Animal Genome, 2011. W235: Forest Trees.| Biblioteca(s): Embrapa Florestas. |
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| 11. | | HUDSON, C. J.; KULLAN, A. R. K.; FREEMAN, J. C.; FARIA, D. A.; GRATTAPAGLIA, D.; KILIAN, A.; MYBURG, A. A.; POTTS, B. M.; VAILLANCOURT, R. E. High synteny and colinearity among Eucalyptus genomes revealed by high-density comparative genetic mapping. Tree Genetics & Genomes, v. 8, p. 339-352, 2012.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 12. | | STEANE, D. A.; NICOLLE, D.; SANSALONI, C. P.; PETROLI, C. D.; CARLING, J.; KILIAN, A.; MYBURG, A. A.; GRATTAPAGLIA, D.; VAILLANCOURT, R. E. Population genetic analysis and phylogeny reconstruction in Eucalyptus (Myrtaceae) using high-throughput, genome-wide genotyping. Molecular Phylogenetics and Evolution, v. 59, p. 206-224, 2011.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 13. | | GRATTAPAGLIA, D.; SANSALONI, C.; PETROLI, C.; RESENDE JÚNIOR, M. F.; FARIA, D.; MISSIAGGIA, A. A.; TAKAHASHI. E. K.; ZAMPROGNO, K.; KILIAN, A.; RESENDE, M. D. V. de. Realized accuracies of Genomic Selection for volume growth in tropical Eucalyptus: marker assisted selection coming to reality in forest trees. In: CONGRESSO BRASILEIRO DE GENÉTICA, 56., 2010, Guarujá. Resumos... [Curitiba]: UFPR, 2010. p. 192.| Biblioteca(s): Embrapa Florestas. |
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| 14. | | GRATTAPAGLIA, D.; RESENDE, M. D. V. de; RESENDE JUNIOR, M. F. R.; SANSALONI, C. P.; PETROLI, C. D.; MISSIAGGIA, A. A.; TAKAHASHI, E. K.; ZAMPROGNO, K. C.; KILIAN, A. Breeding by genomic selection: capturing the missing heritability of complex traits in forest trees. In: NEW PHYTOLOGIST SYMPOSIUM, 26., 2011, Nancy. Bioenergy trees. [S.l.]: INRA, 2011. p. 9.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 15. | | GRATTAPAGLIA, D.; RESENDE, M. D. V. de; RESENDE JUNIOR, M. F. R.; SANSALONI, C. P.; PETROLI, C. D.; MISSIAGGIA, A. A.; TAKAHASHI, E. K.; ZAMPROGNO, K. C.; KILIAN, A. Breeding by genomic selection: capturing the missing heritability of complex traits in forest trees. In: NEW PHYTOLOGIST SYMPOSIUM, 26., 2011, Nancy. Bioenergy trees. [S.l.]: INRA, 2011. p. 9.| Biblioteca(s): Embrapa Florestas. |
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| 16. | | PETROLI, C. D.; SANSALONI, C. P; CARLING, J.; STEANE, D. A.; VAILLANCOURT, R. E.; MYBURG, A. M.; SILVA JUNIOR, O. B. da; PAPPAS JUNIOR, G. J.; KILIAN, A.; GRATTAPAGLIA, D. Genomic characterization of DArT markers based on high-density linkage analysis and physical mapping to the Eucalyptus genome. PLoS ONE, v. 7, n. 9, set. 2012.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 17. | | GRATTAPAGLIA, D.; SANSALONI, C. P.; PETROLI, C. D.; RESENDE JUNIOR, M. F. R.; FARIA, D. A.; MISSIAGGIA, A. A.; TAKAHASHI, E. K.; ZAMPROGNO, K. C.; KILIAN, A.; RESENDE, M. D. V. de. Genomic selection in Eucalyptus: marker assisted selection coming to reality in forest trees. In: PLANT & ANIMAL GENOMES CONFERENCE, 18., 2010, San Diego. Resumos.| Biblioteca(s): Embrapa Florestas. |
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| 18. | | HUDSON, C. J.; FREEMAN, J. S.; KULLAN, A. R. K.; PETROLI, C. D.; SANSALONI, C. P.; KILIAN, A.; DETERING, F.; GRATTAPAGLIA, D.; POTTS, B. M.; MYBURG, A. A.; VAILLANCOURT, R. E. A reference linkage map for Eucalyptus. BMC Genomics, 13:240, 2012. (Open access).| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 19. | | KLEINHOFS, A.; KILIAN, A.; SAGHAI MAROOF, M. A.; BIYASHEV, R. M.; HAYES, P.; CHEN, F. Q.; LAPITAN, N.; FENWICK, A.; BLAKE, T. K.; KANAZIN, V.; ANANIEV, E.; DAHLEEN, L.; KUDRNA, D.; BOLLINGER, J.; KNAPP, S. J.; LIU, B.; SORRELLS, M.; HEUN, M.; FRANCKOWIAK, J. D.; HOFFMAN, D.; SKADSEN, R.; STEFFENSON, B. J. A molecular, isozyme and morphological map of the barley (Hordeum vulgare) genome. Theoretical and Applied Genetics, v. 86, n. 6, p. 705-712, 1993.| Biblioteca(s): Embrapa Trigo. |
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| 20. | | 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. Genomic selection for growth and wood quality in Eucalyptus: capturing the missing heritability and accelerating breeding for complex traits in forest trees. New Phytologist, v. 194, p. 116-128, 2012.| Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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| Registros recuperados : 24 | |
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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; 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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Circulação/Nível: |
A - 1 |
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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: |
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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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