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4. | | ALMEIDA FILHO, J. E. de; TARDIN, F. D.; SOUZA, S. A. de; GODINHO, V. de P. C.; CARDOSO, M. J. Desempenho agronômico e estabilidade fenotípica de híbridos de sorgo granífero. Revista Brasileira de Milho e Sorgo, Sete Lagoas, v. 9, n. 1, p. 54-64, 2010. Biblioteca(s): Embrapa Meio-Norte; Embrapa Milho e Sorgo. |
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5. | | ALMEIDA FILHO, J. E. de; TARDIN, F. D.; SOUZA, S. A. de; GODINHO, V. de P. C.; CARDOSO, M. J. Desempenho agronômico e estabilidade fenotípica de híbridos de sorgo granífero. Revista Brasileira de Milho e Sorgo, Sete Lagoas, v. 9, n. 1, p. 54-64, 2010. Biblioteca(s): Embrapa Rondônia. |
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7. | | RIOS, E.; RESENDE, M.; KIRST, M.; RESENDE, M. D. V. de; ALMEIDA FILHO, J. E. de; MUNOZ, P. Predictive ability of Genomic Estimated Family Values (GEFV). In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego. [Abstracts...]. San Diego: [s.n.], 2016. Pôster P1186. Biblioteca(s): Embrapa Florestas. |
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8. | | ALMEIDA FILHO, J. E. de; GUIMARÃES, J. F. R.; SILVA, F. F. e; RESENDE, M. D. V. de; MUÑOZ, P.; KIRST, M.; RESENDE JUNIOR, M. F. R. The contribution of dominance to phenotype prediction in a pine breeding and simulated population. Heredity, v. 117, p. 33-41, July 2016. Biblioteca(s): Embrapa Florestas. |
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9. | | ALMEIDA FILHO, J. E. de; TARDIN, F. D.; LOPES, V. da S.; BARBÉ, T. C.; GODINHO, V. de P. C.; CARDOSO, M. J.; DAHER, R. F. Correlação entre parâmetros de estabilidade e adaptabilidade em híbridos de sorgo granífero. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 6., 2011, Búzios. Panorama atual e perspectivas do melhoramento de plantas no Brasil. [Búzios]: SBMP, 2011. 1 CD-ROM. Biblioteca(s): Embrapa Rondônia. |
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10. | | ALMEIDA FILHO, J. E. de; TARDIN, F. D.; LOPES, V. da S.; BARBÉ, T. C.; GODINHO, V. de P. C.; CARDOSO, M. J.; DAHER, R. F. Correlação entre parâmetros de estabilidade e adaptabilidade em híbridos de sorgo granífero. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 6., 2011, Búzios. Panorama atual e perspectivas do melhoramento de plantas no Brasil. [Búzios]: SBMP, 2011. 1 CD-ROM. Biblioteca(s): Embrapa Meio-Norte; Embrapa Milho e Sorgo. |
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11. | | ALMEIDA FILHO, J. E. de; SOARES, D. C. de P.; SILVA, E. A.; CANDIDO, L. S.; TARDIN, F. D.; SOUZA, S. A. de. Avaliação agronômica de 25 híbridos simples de sorgo granífero (Sorghum bicolor) em distintas condições edafoclimáticas In: CONGRESSO NACIONAL DE MILHO E SORGO, 28.; SIMPÓSIO BRASILEIRO SOBRE A LAGARTA DO CARTUCHO, 4., 2010, Goiânia. Potencialidades, desafios e sustentabilidade: resumos expandidos... Sete Lagoas: ABMS, 2010. 1 CD-ROM. Biblioteca(s): Embrapa Milho e Sorgo. |
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12. | | ALMEIDA FILHO, J. E. de; TARDIN, F. D.; RESENDE, M. D. V. de; SILVA, F. F. e; GRANATO, I. S. C.; MENEZES, C. B. de. Genetic evaluation of grain sorghum hybrids in Brazilian environments using the REML/BLUP procedure. Scientia Agricola, Piracicaba, v. 71, n. 2, p. 146-150, Mar./Apr. 2014. Biblioteca(s): Embrapa Florestas; Embrapa Milho e Sorgo. |
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13. | | ALMEIDA FILHO, J. E. de A.; RODRIGUES, J. F. G.; SILVA, F. F. e; RESENDE, M. D. V. de; RESENDE JÚNIOR, M.; MUÑOZ, P.; KIRST, M. Genomic prediction of assitive and non-additive effects using genetic markers and pedigrees in pines breeding. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 8., 2015, Goiânia. O melhoramento de plantas, o futuro da agricultura e a soberania nacional: anais. Goiânia: SBMP: UFG, 2015. Resumo. Biblioteca(s): Embrapa Florestas. |
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14. | | ALMEIDA FILHO, J. E. de; SOARES, D. C. de P.; SILVA, E. A.; CANDIDO, L. S.; TARDIN, F. D.; SOUZA, S. A. de; GODINHO, V. de P. C.; CARDOSO, M. J. Adaptabilidade e estabilidade produtiva em híbridos simples de sorgo granífero (Sorghum bicolor). In: CONGRESSO NACIONAL DE MILHO E SORGO, 28.; SIMPÓSIO BRASILEIRO SOBRE A LAGARTA DO CARTUCHO, 4., 2010, Goiânia. Resumos expandidos... Goiânia: ABMS, 2010. p.2588-2594. CD-ROM. Biblioteca(s): Embrapa Rondônia. |
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15. | | ALMEIDA FILHO, J. E. de; SOARES, D. C. de P.; SILVA, E. A.; CANDIDO, L. S.; TARDIN, F. D.; SOUZA S. A. de; GODINHO, V. de P. C.; CARDOSO, M. J. Adaptabilidade e estabilidade produtiva em híbridos simples de sorgo granífero (Sorghum bicolor). In: CONGRESSO NACIONAL DE MILHO E SORGO, 28.; SIMPÓSIO BRASILEIRO SOBRE A LAGARTA DO CARTUCHO, 4., 2010, Goiânia. Potencialidades, desafios e sustentabilidade: resumos expandidos... Sete Lagoas: ABMS, 2010. 1 CD-ROM. Biblioteca(s): Embrapa Meio-Norte; Embrapa Milho e Sorgo. |
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16. | | SILVA, V. Q. R. da; DAHER, R. F.; SOUZA, M. C. de; LEDO, F. J. da S.; GRAVINA, G. de A.; GOTTARDO, R. D.; BARBÉ, T. da C.; ALMEIDA FILHO, J. E. de. Análise dialélica parcial em capim-elefante sob dois cortes de avaliação em Campos dos Goytacazes, RJ. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 6., 2011, Búzios. Panorama atual e perspectivas do melhoramento de plantas no Brasil. [Búzios]: SBMP, 2011. 1 CD-ROM. Biblioteca(s): Embrapa Agrossilvipastoril; Embrapa Gado de Leite. |
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17. | | DAHER, R. F.; CUNHA, R. C. V. da; ARAÚJO, V. da S.; ALMEIDA FILHO, J. E. de; GRAVINA, G. de A.; LEDO, F. J. da S.; GOTTARDO, R. D. Análise de estabilidade da produção forrageira de genótipos de capim-elefante avaliados em Campos dos Goytacazes - RJ. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 7., 2013, Uberlândia. Variedade melhorada: a força da nossa agricultura: anais. Viçosa, MG: SBMP, 2013. p. 606-610 Biblioteca(s): Embrapa Gado de Leite. |
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18. | | TARDIN, F. D.; ALMEIDA FILHO, J. E. de; OLIVEIRA, C. M. de; LEITE, C. E. do P.; MENEZES, C. B. de; MAGALHAES, P. C.; RODRIGUES, J. A. S.; SCHAFFERT, R. E. Avaliação agronômica de híbridos de sorgo granífero cultivados sob irrigação e estresse hídrico. Revista Brasileira de Milho e Sorgo, Sete Lagoas, v. 12, n. 2, p. 102-117, 2013. Biblioteca(s): Embrapa Milho e Sorgo. |
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19. | | ALMEIDA FILHO, J. E. de; TARDIN, F. D.; DAHER, R. F.; SILVA, K. J. da; JOÃO BATISTA XAVIER NETO; BASTOS, E. A.; LOPES, V. da S.; BARBE, T. da C.; MENEZES, C. B. de. Avaliação agronômica de híbridos de sorgo granífero em diferentes regiões produtoras do Brasil. Revista Brasileira de Milho e Sorgo, Sete Lagoas, v. 13, n. 1, p. 82-95, 2014. Biblioteca(s): Embrapa Meio-Norte; Embrapa Milho e Sorgo. |
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20. | | ALMEIDA FILHO, J. E. de A.; GUIMARÃES, J. F. R.; SILVA, F. F. e; RESENDE, M. D. V. de; MUÑOZ, P.; KIRST, M.; RESENDE JÚNIOR, M. F. R. de. Genomic prediction of additive and non-additive effects using genetic markers and pedigrees. G3: Genes, Genomes, Genetics, v. 9, p. 2739-2748, Aug. 2019. Biblioteca(s): Embrapa Florestas. |
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Registros recuperados : 32 | |
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Registro Completo
Biblioteca(s): |
Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
Data corrente: |
20/11/2017 |
Data da última atualização: |
20/11/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
MÜLLER, B. S. F.; NEVES, L. G.; ALMEIDA FILHO, J. E. de; RESENDE JUNIOR, M. F. R.; MUÑOZ, P. R.; SANTOS, P. E. T. dos; PALUDZYSZYN FILHO, E.; KIRST, M.; GRATTAPAGLIA, D. |
Afiliação: |
Bárbara S. F. Müller, UnB; Leandro G. Neves, RAPiD Genomics LLC; Janeo E. de Almeida Filho, University of Florida; Márcio F. R. Resende Junior, RAPiD Genomics LLC; Patricio R. Muñoz, University of Florida; PAULO EDUARDO TELLES DOS SANTOS, CNPF; ESTEFANO PALUDZYSZYN FILHO, CNPF; Matias Kirst, University of Florida; DARIO GRATTAPAGLIA, Cenargen. |
Título: |
Genomic prediction in contrast to a genome-wide association study in explaining heritable variation of complex growth traits in breeding populations of Eucalyptus. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
BMC Genomics, v. 18, article 524, 2017. 17 p. |
DOI: |
10.1186/s12864-017-3920-2 |
Idioma: |
Inglês Português |
Conteúdo: |
Background: The advent of high-throughput genotyping technologies coupled to genomic prediction methods established a new paradigm to integrate genomics and breeding. We carried out whole-genome prediction and contrasted it to a genome-wide association study (GWAS) for growth traits in breeding populations of Eucalyptus benthamii (n =505) and Eucalyptus pellita (n =732). Both species are of increasing commercial interest for the development of germplasm adapted to environmental stresses. Results: Predictive ability reached 0.16 in E. benthamii and 0.44 in E. pellita for diameter growth. Predictive abilities using either Genomic BLUP or different Bayesian methods were similar, suggesting that growth adequately fits the infinitesimal model. Genomic prediction models using ~5000?10,000 SNPs provided predictive abilities equivalent to using all 13,787 and 19,506 SNPs genotyped in the E. benthamii and E. pellita populations, respectively. No difference was detected in predictive ability when different sets of SNPs were utilized, based on position (equidistantly genome-wide, inside genes, linkage disequilibrium pruned or on single chromosomes), as long as the total number of SNPs used was above ~5000. Predictive abilities obtained by removing relatedness between training and validation sets fell near zero for E. benthamii and were halved for E. pellita. These results corroborate the current view that relatedness is the main driver of genomic prediction, although some short-range historical linkage disequilibrium (LD) was likely captured for E. pellita. A GWAS identified only one significant association for volume growth in E. pellita, illustrating the fact that while genome-wide regression is able to account for large proportions of the heritability, very little or none of it is captured into significant associations using GWAS in breeding populations of the size evaluated in this study. Conclusions: This study provides further experimental data supporting positive prospects of using genome-wide data to capture large proportions of trait heritability and predict growth traits in trees with accuracies equal or better than those attainable by phenotypic selection. Additionally, our results document the superiority of the whole-genome regression approach in accounting for large proportions of the heritability of complex traits such as growth in contrast to the limited value of the local GWAS approach toward breeding applications in forest trees. MenosBackground: The advent of high-throughput genotyping technologies coupled to genomic prediction methods established a new paradigm to integrate genomics and breeding. We carried out whole-genome prediction and contrasted it to a genome-wide association study (GWAS) for growth traits in breeding populations of Eucalyptus benthamii (n =505) and Eucalyptus pellita (n =732). Both species are of increasing commercial interest for the development of germplasm adapted to environmental stresses. Results: Predictive ability reached 0.16 in E. benthamii and 0.44 in E. pellita for diameter growth. Predictive abilities using either Genomic BLUP or different Bayesian methods were similar, suggesting that growth adequately fits the infinitesimal model. Genomic prediction models using ~5000?10,000 SNPs provided predictive abilities equivalent to using all 13,787 and 19,506 SNPs genotyped in the E. benthamii and E. pellita populations, respectively. No difference was detected in predictive ability when different sets of SNPs were utilized, based on position (equidistantly genome-wide, inside genes, linkage disequilibrium pruned or on single chromosomes), as long as the total number of SNPs used was above ~5000. Predictive abilities obtained by removing relatedness between training and validation sets fell near zero for E. benthamii and were halved for E. pellita. These results corroborate the current view that relatedness is the main driver of genomic prediction, although some short-range h... Mostrar Tudo |
Palavras-Chave: |
Espécie exótica; Genomic selection; GWAS; Seleção genômica; SNP genotyping. |
Thesagro: |
Eucalipto; Melhoramento genético vegetal. |
Thesaurus NAL: |
Eucalyptus benthamii; Eucalyptus pellita; genetic relationships; marker-assisted selection; plant breeding. |
Categoria do assunto: |
-- G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/166929/1/2017-PauloE-BMCG-Genomic-prediction.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/181027/1/s12864-017-3920-2.pdf
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Marc: |
LEADER 03672naa a2200373 a 4500 001 2080081 005 2017-11-20 008 2017 bl uuuu u00u1 u #d 024 7 $a10.1186/s12864-017-3920-2$2DOI 100 1 $aMÜLLER, B. S. F. 245 $aGenomic prediction in contrast to a genome-wide association study in explaining heritable variation of complex growth traits in breeding populations of Eucalyptus.$h[electronic resource] 260 $c2017 520 $aBackground: The advent of high-throughput genotyping technologies coupled to genomic prediction methods established a new paradigm to integrate genomics and breeding. We carried out whole-genome prediction and contrasted it to a genome-wide association study (GWAS) for growth traits in breeding populations of Eucalyptus benthamii (n =505) and Eucalyptus pellita (n =732). Both species are of increasing commercial interest for the development of germplasm adapted to environmental stresses. Results: Predictive ability reached 0.16 in E. benthamii and 0.44 in E. pellita for diameter growth. Predictive abilities using either Genomic BLUP or different Bayesian methods were similar, suggesting that growth adequately fits the infinitesimal model. Genomic prediction models using ~5000?10,000 SNPs provided predictive abilities equivalent to using all 13,787 and 19,506 SNPs genotyped in the E. benthamii and E. pellita populations, respectively. No difference was detected in predictive ability when different sets of SNPs were utilized, based on position (equidistantly genome-wide, inside genes, linkage disequilibrium pruned or on single chromosomes), as long as the total number of SNPs used was above ~5000. Predictive abilities obtained by removing relatedness between training and validation sets fell near zero for E. benthamii and were halved for E. pellita. These results corroborate the current view that relatedness is the main driver of genomic prediction, although some short-range historical linkage disequilibrium (LD) was likely captured for E. pellita. A GWAS identified only one significant association for volume growth in E. pellita, illustrating the fact that while genome-wide regression is able to account for large proportions of the heritability, very little or none of it is captured into significant associations using GWAS in breeding populations of the size evaluated in this study. Conclusions: This study provides further experimental data supporting positive prospects of using genome-wide data to capture large proportions of trait heritability and predict growth traits in trees with accuracies equal or better than those attainable by phenotypic selection. Additionally, our results document the superiority of the whole-genome regression approach in accounting for large proportions of the heritability of complex traits such as growth in contrast to the limited value of the local GWAS approach toward breeding applications in forest trees. 650 $aEucalyptus benthamii 650 $aEucalyptus pellita 650 $agenetic relationships 650 $amarker-assisted selection 650 $aplant breeding 650 $aEucalipto 650 $aMelhoramento genético vegetal 653 $aEspécie exótica 653 $aGenomic selection 653 $aGWAS 653 $aSeleção genômica 653 $aSNP genotyping 700 1 $aNEVES, L. G. 700 1 $aALMEIDA FILHO, J. E. de 700 1 $aRESENDE JUNIOR, M. F. R. 700 1 $aMUÑOZ, P. R. 700 1 $aSANTOS, P. E. T. dos 700 1 $aPALUDZYSZYN FILHO, E. 700 1 $aKIRST, M. 700 1 $aGRATTAPAGLIA, D. 773 $tBMC Genomics$gv. 18, article 524, 2017. 17 p.
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