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| 4. |  | GRATTAPAGLIA, D. Genômica de Eucalyptus: oportunidades e desafios. In: MARIATH, J. E. de A.; SANTOS, R. P. dos. (Org.). Os avanços da Botânica no início do século XXI: Morfologia, Fisiologia, Taxonomia, Ecologia e Genética. Bento Gonçalves: Sociedade Botânica do Brasil, 2006. Conferências plenárias e Simpósios do: CONGRESSO NACIONAL DE BOTÂNICA, 57.; ENCONTRO ESTADUAL DE BOTÂNICOS, 13.; ENCONTRO ESTADUAL DE HERBÁRIOS, 5., 2006, Gramado, RS. p. 150-156.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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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: |
20/03/2012 |
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Data da última atualização: |
01/03/2023 |
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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 JUNIOR, M. F. R.; MUÑOZ, P.; ACOSTA, J. J.; PETER, G. F.; DAVIS, J. M.; GRATTAPAGLIA, D.; RESENDE, M. D. V. de; KIRST, M. |
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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. |
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Título: |
Accelerating the domestication of trees using genomic selection: accuracy of prediction models across ages and environments. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
New Phytologist, v. 193, p. 617-624, 2012. |
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Idioma: |
Inglês |
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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. |
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Palavras-Chave: |
Seleção genômica. |
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Thesagro: |
Pinus Taeda. |
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Categoria do assunto: |
-- |
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Marc: |
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001 1937492
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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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