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Registro Completo |
Biblioteca(s): |
Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
Data corrente: |
20/03/2012 |
Data da última atualização: |
01/03/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
RESENDE JUNIOR, M. F. R.; MUÑOZ, P.; ACOSTA, J. J.; PETER, G. F.; DAVIS, J. M.; GRATTAPAGLIA, D.; RESENDE, M. D. V. de; KIRST, M. |
Afiliação: |
MÁRCIO F. R. JÚNIOR RESENDE, University of Florida; University of Florida; University of Florida; University of Florida; UFV; DARIO GRATTAPAGLIA, CENARGEN; MARCOS DEON VILELA DE RESENDE, CNPF; University of Florida. |
Título: |
Accelerating the domestication of trees using genomic selection: accuracy of prediction models across ages and environments. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
New Phytologist, v. 193, p. 617-624, 2012. |
Idioma: |
Inglês |
Conteúdo: |
Genomic selection is increasingly considered vital to accelerate genetic improvement. However, it is unknown how accurate genomic selection prediction models remain when used across environments and ages. This knowledge is critical for breeders to apply this strategy in genetic improvement. Here, we evaluated the utility of genomic selection in a Pinus taeda population of c. 800 individuals clonally replicated and grown on four sites, and genotyped for 4825 singlenucleotide polymorphism (SNP) markers. Prediction models were estimated for diameter and height at multiple ages using genomic random regression best linear unbiased predictor (BLUP). Accuracies of prediction models ranged from 0.65 to 0.75 for diameter, and 0.63 to 0.74 for height. The selection efficiency per unit time was estimated as 53?112% higher using genomic selection compared with phenotypic selection, assuming a reduction of 50% in the breeding cycle. Accuracies remained high across environments as long as they were used within the same breeding zone. However, models generated at early ages did not perform well to predict phenotypes at age 6 yr. These results demonstrate the feasibility and remarkable gain that can be achieved by incorporating genomic selection in breeding programs, as long as models are used at the relevant selection age and within the breeding zone in which they were estimated. |
Palavras-Chave: |
Seleção genômica. |
Thesagro: |
Pinus Taeda. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02086naa a2200229 a 4500 001 1937492 005 2023-03-01 008 2012 bl uuuu u00u1 u #d 100 1 $aRESENDE JUNIOR, M. F. R. 245 $aAccelerating the domestication of trees using genomic selection$baccuracy of prediction models across ages and environments.$h[electronic resource] 260 $c2012 520 $aGenomic selection is increasingly considered vital to accelerate genetic improvement. However, it is unknown how accurate genomic selection prediction models remain when used across environments and ages. This knowledge is critical for breeders to apply this strategy in genetic improvement. Here, we evaluated the utility of genomic selection in a Pinus taeda population of c. 800 individuals clonally replicated and grown on four sites, and genotyped for 4825 singlenucleotide polymorphism (SNP) markers. Prediction models were estimated for diameter and height at multiple ages using genomic random regression best linear unbiased predictor (BLUP). Accuracies of prediction models ranged from 0.65 to 0.75 for diameter, and 0.63 to 0.74 for height. The selection efficiency per unit time was estimated as 53?112% higher using genomic selection compared with phenotypic selection, assuming a reduction of 50% in the breeding cycle. Accuracies remained high across environments as long as they were used within the same breeding zone. However, models generated at early ages did not perform well to predict phenotypes at age 6 yr. These results demonstrate the feasibility and remarkable gain that can be achieved by incorporating genomic selection in breeding programs, as long as models are used at the relevant selection age and within the breeding zone in which they were estimated. 650 $aPinus Taeda 653 $aSeleção genômica 700 1 $aMUÑOZ, P. 700 1 $aACOSTA, J. J. 700 1 $aPETER, G. F. 700 1 $aDAVIS, J. M. 700 1 $aGRATTAPAGLIA, D. 700 1 $aRESENDE, M. D. V. de 700 1 $aKIRST, M. 773 $tNew Phytologist$gv. 193, p. 617-624, 2012.
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Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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Registros recuperados : 48 | |
8. | | NEVES, L. G.; PAPPAS JUNIOR, G. J.; PAQUALI, G.; KIRST, M.; GRATTAPAGLIA, D. Advancing to a high density gene-rich map based on single feature polymorphisms in tropical eucalyptus. In: INTERNATIONAL PLANT & ANIMAL GENOMES CONFERENCE, 17., 2009, San Diego, CA. [Proceedings...]. [S. l.: s.n.], 2009. W185Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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9. | | PROSDOCIMI, P; BITTENCOURT, D.; SILVA, F. R. da; KIRST, M.; MOTA, P. C.; RECH, E. L. Spinning gland transcriptomics from two main Clades of Spiders (Order: Araneae) - insights on their molecular, anatomical and behavioral evolution. Plos One, San Francisco, v. 6, n. 6, p. 1-15, June 2011.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Agricultura Digital; Embrapa Amazônia Ocidental; Embrapa Recursos Genéticos e Biotecnologia. |
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10. | | GRATTAPAGLIA, D.; NOVAES, E.; PAPPAS, G. J.; PASQUALI, G.; KIRST, M. Single feature polymorphism discovery and validation in Eucalyptus by pseudo-testcross inheritance and mapping. In: THE INTERNATIONAL CONFERENCE ON THE STATUS OF PLANT & ANIMAL GENOME RESEARCH, 16., 2008, San Diego. Final abstracts guide. San Diego, 2008, W172.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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15. | | MUNOZ, P.; RESENDE JUNIOR, M.; RESENDE, M. D. V. de; GEZAN, S.; KIRST, M.; PETER, G. The re-discovery of the dominance variation by using the observed relationship matrix and itis implications in breeding. In: INTERNATIONAL CONFERENCE ON QUANTITATIVE GENETICS, 4., 2012, Edinburgh. Understanding Variation in Complex Traits. . [S.l.: s.n], 2012. Poster abstracts. P-367.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Florestas. |
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16. | | BRONDANI, R. P. V.; GAIOTTO, F. A.; MISSIAGGIA, A. A.; KIRST, M.; GRIBELS, R.; GRATTAPAGLIA, D. Microsatellite markers for Ceiba pentandra (Bombacaceae), an endangered tree species of the amazon forest Molecular Ecology Notes, v.3, p.177-179, 2003.Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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17. | | MISSIAGGIA, A. A.; KIRST, M.; SILVEIRA, F. Q.; GAIOTTO, F. A.; BRONDANI, R. P. V.; GRIBEL, R.; GRATTAPAGLIA, D. Análise da herança de locos microsatélites marcados com fluorescência em sumaúma (Ceiba pentandra) e estimativa de fecundação cruzada em populações naturais. In: WORKSHOP DO TALENTO ESTUDANTIL DA EMBRAPA RECURSOS GENÉTICOS E BIOTECNOLOGIA, 4., 1999, Brasília. Anais: resumos dos trabalhos. Brasília, DF: EMBRAPA-CENARGEN, 1999. p. 67.Tipo: Resumo em Anais de Congresso | Circulação/Nível: -- - -- |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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18. | | NOVAES, E.; DROST, D. R.; FARMERIE, W. G.; PAPPAS JUNIOR, G. J.; GRATTAPAGLIA, D.; SEDEROFF, R. R.; KIRST, M. High-throughput gene and SNP discovery in Eucalyptus grandis, an uncharacterized genome. BMC Genomic, v.9, p. 312, 2008.Tipo: Artigo em Periódico Indexado | Circulação/Nível: Internacional - A |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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20. | | 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.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Florestas. |
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Registros recuperados : 48 | |
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Nenhum registro encontrado para a expressão de busca informada. |
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