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Registros recuperados : 107 | |
81. | | MÜLLER, B. S. F.; PAPPAS JUNIOR, G. J.; VALDISSER, P. A. M. R.; COELHO, G. R. C.; MENEZES, I. P. P. de; ABREU, A. G.; BORBA, T. C. O.; SAKAMOTO, T.; BRONDANI, C.; BARROS, E. G.; VIANELLO, R. P. An operational SNP panel integrated to SSR marker for the assessment of genetic diversity and population structure of the common bean. Plant Molecular Biology Reporter, v. 33, n. 6, p. 1697-1711, Dec. 2015. Biblioteca(s): Embrapa Arroz e Feijão. |
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82. | | BRASILEIRO, A. C. M.; MORGANTE, C. V.; SILVA, A. K.; MARTINS, A. C. Q.; PAPPAS JUNIOR, G. J.; SILVA JUNIOR, O. B. da; BERTIOLI, D. J.; BERTIOLI, S. C. de M. L.; GUIMARAES, P. M. Next Generation Sequencing (NGS) for discovery of droughtresponsive genes in wild Arachis. In: SIMPÓSIO BRASILEIRO DE GENÉTICA MOLECULAR DE PLANTAS, 3., 2011, Ilhéus. Resumos... Ribeirão Preto: SBG, 2011. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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83. | | BRASILEIRO, A. C. M.; MORGANTE, C. V.; SILVA, A. K.; MARTINS, A. C. Q.; PAPPAS JUNIOR, G. J.; SILVA JUNIOR, O. B. da; BERTIOLI, D. J.; BERTIOLI, S. C. de M. L.; GUIMARAES, P. M. Next Generation Sequencing (NGS) for discovery of droughtresponsive genes in wild Arachis. In: SIMPÓSIO BRASILEIRO DE GENÉTICA MOLECULAR DE PLANTAS, 3., 2011, Ilhéus. Resumos... Ribeirão Preto: SBG, 2011. 1 CD-ROM. Biblioteca(s): Embrapa Semiárido. |
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84. | | MILLER, R. N. G.; BERTIOLI, D. J.; BAURENS, F. C.; QUIRINO, B. F.; CIAMPI, A. Y.; SANTOS, C. M. R.; MARTINS, N. F.; SOUZA JUNIOR, M. T.; PAPPAS JUNIOR, G. J. Understanding plant responses to biotic stress: ongoing research in Musa. Acta Horticulturae, Leuven, n. 828, p. 255-271, 2009. Edição de Proceedings of the International Symposium on Recent Advances in Banana Crop Protection for Sustainable Production and Improved Livelihoods , White River, South Africa, 2009. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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85. | | VALDISSER, P. A. M. R.; PAPPAS JUNIOR, G. J.; MENEZES, I. P. P. de; MÜLLER, B. S. F.; PEREIRA, W. J.; NARCISO, M. G.; BRONDANI, C.; SOUZA, T. L. P. O.; BORBA, T. C. O.; VIANELLO, R. P. SNP discovery in common bean by restriction-associated DNA (RAD) sequencing for genetic diversity and population structure analysis. Molecular Genetics and Genomics, v. 291, n. 3, p. 1277-1291, June 2016. Biblioteca(s): Embrapa Arroz e Feijão. |
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86. | | PASSOS, M. A. N.; CRUZ, V. O. de; EMEDIATO, F. L.; TEIXEIRA, C. C. de; AZEVEDO, V. C. R.; BRASILEIRO, A. C. M.; AMORIM, E. P.; FERREIRA, C. F.; MARTINS, N. F.; TOGAWA, R. C.; PAPPAS JÚNIOR, G. J.; SILVA JUNIOR, O. B. da; MILLER, R. T N. G. Analysis of the leaf transcriptome of Musa acuminata during interaction with Mycosphaerella musicola: gene assembly, annotation and marker development. BMC Genomics, v.14, n.78, 2013. Biblioteca(s): Embrapa Mandioca e Fruticultura; Embrapa Recursos Genéticos e Biotecnologia. |
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87. | | FARIA, B. M. S. de; MENEZES, I. P. P. de; PAPPAS JÚNIOR, G. J.; VALDISSER, P. A. M. R.; COELHO, G. R. C.; BORBA, T. C. de O.; ABREU, A. G. de; BRONDANI, C.; BARROS, E. G. de; VIANELLO, R. P. Análise da diversidade genética e estruturação populacional entre marcadores SSRs e SNPs em germoplasma de feijoeiro comum (Phaseolus vulgaris L.). In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 7., 2013, Uberlândia. Variedade melhorada: a força da nossa agricultura: anais. Viçosa, MG: SBMP, 2013. p. 57-60. Biblioteca(s): Embrapa Arroz e Feijão. |
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88. | | GUIMARAES, P. M.; BRASILEIRO, A. C. M.; MORGANTE, C. V.; MARTINS, A. C. Q.; PAPPAS JUNIOR, G. J.; SILVA JUNIOR, O. B. da; TOGAWA, R. C.; BERTIOLI, S. C. de M. L.; ARAUJO, A. C. G. de; MORETZSOHN, M. de C.; BERTIOLI, D. J. Global transcriptome analysis of two wild relatives of peanut under drought and fungi infection. BMC Genomics, v. 13, n. 387, 2012. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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89. | | 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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90. | | PASQUALI, G.; BASTOLLA, F. M.; KIRCH, R. P.; PIZZOLI, G.; ROESLER, G. A.; PAZZINI, F.; CARAZZOLLE, M. F.; BRONDANI, R. V.; COELHO, A. S. G.; BROMMONSCHENKEL, S. H.; PAPPAS JÚNIOR, G. J.; PEREIRA, G. A. G.; CASCARDO, J. C. M.; GRATTAPAGLIA, D. Expressão gênica em Eucalyptus. In: CONGRESSO BRASILEIRO DE GENÉTICA, 51., 2005, Águas de Lindóia, SP. A era da genômica: da bioestatística à bioinformática: anais. Ribeirão Preto, SP: Sociedade Brasileira de Genética, 2005. p. 508. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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91. | | HIPPOLYTE, I.; BAKRY, F.; SEGUIN, M.; GARDES, L.; RIVALLAN, R.; RISTERUCCI, A. M.; JENNY, C.; PERRIER, X.; CARREEL, F.; ARGOUT, X.; PIFFANELLI, P.; KHAN, I. A.; MILLER, R. N. G.; PAPPAS JUNIOR, G. J.; MBÉGUIÉ-A-MBÉGUIÉ, D.; MATSUMOTO, T.; BERNARDINIS, V. de; HUTTNER, E.; KILIAN, A; BAURENS, F. C.; D'HONT, A.; COTE, F.; COURTOIS, B.; GLASZMANN, J. C. A saturated SSR/DArT linkage map of Musa acuminata addressing genome rearrangements among bananas. BMC Plant Biology, v. 10, n. 65, 2010. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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92. | | MIOTTO, Y. E.; TESSELE, C.; CZERMAINSKI, A. B. C.; PORTO, D. D.; FALAVIGNA, V. da S.; SARTOR, T.; CATTANI, A. M.; DELATORRE, C. A.; ALENCAR, S. A. de; SILVA JUNIOR, O. B. da; TOGAWA, R. C.; COSTA, M. M. do C.; PAPPAS JÚNIOR, G. J.; GRYNBERG, P.; OLIVEIRA, P. R. D. de; KVITSCHAL, M. V.; DENARDI, F.; BUFFON, V.; REVERS, L. F. Spring is coming: genetic analyses of the bud break date locus reveal candidate genes from the cold perception pathway to dormancy release in apple (Malus x domestica Borkh.). Frontiers in Plant Science, v. 10, article 33, 2019. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia; Embrapa Semiárido; Embrapa Uva e Vinho. |
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93. | | BASTOLLA, F. M.; VOM ENDT, D.; JAHNS, M.; PIZZOLI, G.; PAZZINI, F.; KIRCH, R. P.; CARAZZOLE, M. F.; BRONDANI, R. V.; COELHO, A. S. G.; BROMMONSCHENKEL, S. H.; PAPPAS JUNIOR, G. J.; PEREIRA, G. A. G.; GRATTAPAGLIA, D.; CASCARDO, J. C. M.; PASQUALI, G. Differential gene expression in two Eucalyptus species. In: CONGRESSO BRASILEIRO DE GENÉTICA, 52., 2006, Foz do Iguaçu, PR. Resumos... Ribeirão Preto, SP: Sociedade Brasileira de Genética, 2006. p. 1123. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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94. | | KIRCH, R. P.; SCHWAMBACH, J.; BASTOLLA, F. M.; PAZZINI, F.; PIZZOLI, G.; ROESLER, G. A.; MIRANDA, R. P.; CARAZZOLLE, M. F.; BRONDANI, R. V.; COELHO, A. S. G.; GRATTAPAGLIA, D.; BROMMONSCHENKEL, S. H.; PAPPAS JÚNIOR, G. J.; PEREIRA, G. A. G.; FETT-NETO, A. G.; CASCARDO, J. C. M.; PASQUALI, G. Projeto Genolyptus: seqüenciamento e análise de transcritos de plântulas de Eucalyptus grandis submetidos a diferentes estímulos. In: CONGRESSO BRASILEIRO DE GENÉTICA, 51., 2005, Águas de Lindóia, SP. A era da genômica: da bioestatística à bioinformática: anais. Ribeirão Preto, SP: Sociedade Brasileira de Genética, 2005. p. 528. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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95. | | MILLER, R. N. G.; PASSOS, M. A. N.; IMEDIATO, F. L.; CRUZ, V. O.; TEIXEIRA, C. de C.; FIGUEIREDO, L. F. de A.; MARTINS, N. F.; TOGAWA, R. C.; COSTA, M. M. do C.; SILVA JUNIOR, O. B. da; PAPPAS JUNIOR, G. J. Keynote: understanding plant immunity: transcriptome profiling in Musa-pathogen interactions using next generation sequencing. In: PROMUSA SYMPOSIUM, 2011, Salvador. Bananas and plantains: toward sustainable global production and improved uses: abstracts. [Montepellier.]: [Bioversity International, 2011. p. 116-117. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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96. | | MARTINS, A. C. Q.; MORGANTE, C. V.; SILVA, A. K.; GALHARDO, I. C.; PAPPAS JUNIOR, G. J.; SILVA JUNIOR, O. B. da; BERTIOLI, S. C. de M. L.; BERTIOLI, D. J.; MILLER, R. N. G.; BRASILEIRO, A. C. M.; GUIMARAES, P. M. Large scale transcriptome analysis of wild peanut (Arachis stenosperma) inoculated with Passalora personata, the causal agent of late leaf spot. In: INTERNATIONAL CONFERENCE OF THE PEANUT RESEARCH COMMUNITY ON ADVANCES IN ARACHIS THROUGH GENOMICS AND BIOTECNOLOGY, 5., 2011, Brasília, DF. Book of abstracts... Brasília, DF: Embrapa Genetic Researces and Biotecnology, 2011. p. 76. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia; Embrapa Semiárido. |
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97. | | REVERS, L. F.; PORTO, D. D.; FALAVIGNA, V. da S.; BRUNEAU, M.; ANZANELLO, R.; TESSELE, C.; ALENCAR, S. A. de; CZERMAINSKI, A. B. C.; PAPPAS JUNIOR, G. J.; RENOU, J.-P.; FIALHO, F. B.; SANTOS, H. P. dos; DENARDI, F.; KVITSCHAL, M. V.; PASQUALI, G.; MARGIS, M. M. A. N. P.; DELATORRE, C. A.; OLIVEIRA, P. R. D. de. Integrating genetics, genomics and modeling of bud dormancy to improve apple adaptation to climatic changes. In: INTERNATIONAL PLANT DORMANCY SYMPOSIUM, 5., Auckland, 2013. [Abstract and programme book]. [S.l.: ISSS: Plant & Food Research, 2013]. p. 77. Resumo. Biblioteca(s): Embrapa Uva e Vinho. |
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98. | | FERREIRA, C. F.; AMORIM, E. P.; SILVA, P. H.; SANTOS, V. J.; VILARINHOS, A. D.; CIAMPI, A. Y.; PAPPAS JUNIOR, G. J.; PAPPAS, M. de C. R.; SOUZA JUNIOR, M. T.; SANTOS, V. J. dos; MILLER, R. N. G; AZEVEDO, V. C. R. Optimization and validation of SSR Markers in banana. In: INTERNATIONAL HORTICULTURAL CONGRESS, 28., 2010, Lisboa. Science and horticulture for people: programme & book of abstracts. Lisboa: ISHS, 2010. 1 CD-ROM. 2 p.759. PDF. S18.208. Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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99. | | FONSECA, F. C. de A.; FIRMINO, A. A. P.; MACEDO. L. L. P. de; COELHO, R. R.; SOUSA JÚNIOR, J. D. A. de; SILVA JUNIOR, O. B.; TOGAWA, R. C.; PAPPAS JUNIOR, G. J.; GÓIS, L. A. B. de; SILVA, M. C. M. da; SA, M. F. G. de. Sugarcane giant borer transcriptome analysis and identification of genes related to digestion. Plos One, fev., 2015. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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100. | | BENEVENTI, M. A.; SILVA JUNIOR, O. B. da; SÁ, M. E. L. de; FIRMINO, A. A. P.; AMORIM, R. M. S. de; ALBUQUERQUE, E. V. S.; SILVA, M. C. M. da; SILVA, J. P. da; CAMPOS, M. de A.; LOPES, M. J. C.; TOGAWA, R. C.; PAPPAS JÚNIOR, G. J.; GROSSI DE SÁ, M. F. Transcription profile of soybean-root-knot nematode interaction reveals a key role of phythormones in the resistance reaction. BMC Genomics, v. 14: 322, 2013. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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Registros recuperados : 107 | |
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Registro Completo
Biblioteca(s): |
Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
Data corrente: |
24/10/2012 |
Data da última atualização: |
16/02/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
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. |
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. |
Título: |
Genomic selection for growth and wood quality in Eucalyptus: capturing the missing heritability and accelerating breeding for complex traits in forest trees. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
New Phytologist, v. 194, p. 116-128, 2012. |
Idioma: |
Inglês |
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 |
Palavras-Chave: |
Qualidade da madeira. |
Thesagro: |
Eucalipto; Seleção Genética. |
Categoria do assunto: |
-- |
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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