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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. |
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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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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: |
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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Registro original: |
Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
28/09/1998 |
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Data da última atualização: |
18/07/2018 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
MARRIEL, I. E.; CARDOSO, E. J. B. N. |
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Afiliação: |
IVANILDO EVODIO MARRIEL, CNPMS. |
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Título: |
Aumento da atividade da redutase do nitrato e do acúmulo de nitrogênio em diferentes genótipos de milho inoculados com bactérias diazotróficas. |
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Ano de publicação: |
1998 |
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Fonte/Imprenta: |
In: CONGRESSO NACIONAL DE MILHO E SORGO, 22., 1998, Recife. Globalização e segurança alimentar: anais. Recife: ABMS, 1998. |
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Descrição Física: |
1 CD-ROM. |
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Idioma: |
Português |
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Palavras-Chave: |
Assimilacao; Azospirillum basiliense; Fixacao; Fixation; Inoculation; Maize. |
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Thesagro: |
Inoculação; Milho; Nitrogênio; Zea Mays. |
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Thesaurus NAL: |
Azospirillum lipoferum; nitrogen. |
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Categoria do assunto: |
S Ciências Biológicas |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/39268/1/Aumento-atividade.pdf
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Marc: |
LEADER 00880nam a2200265 a 4500
001 1480629
005 2018-07-18
008 1998 bl uuuu u00u1 u #d
100 1 $aMARRIEL, I. E.
245 $aAumento da atividade da redutase do nitrato e do acúmulo de nitrogênio em diferentes genótipos de milho inoculados com bactérias diazotróficas.$h[electronic resource]
260 $aIn: CONGRESSO NACIONAL DE MILHO E SORGO, 22., 1998, Recife. Globalização e segurança alimentar: anais. Recife: ABMS$c1998
300 $c1 CD-ROM.
650 $aAzospirillum lipoferum
650 $anitrogen
650 $aInoculação
650 $aMilho
650 $aNitrogênio
650 $aZea Mays
653 $aAssimilacao
653 $aAzospirillum basiliense
653 $aFixacao
653 $aFixation
653 $aInoculation
653 $aMaize
700 1 $aCARDOSO, E. J. B. N.
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Embrapa Milho e Sorgo (CNPMS) |
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