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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental; Embrapa Clima Temperado. |
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Data corrente: |
04/04/1994 |
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Data da última atualização: |
24/08/1995 |
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Autoria: |
MASCARENHAS, R. E. B. |
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Título: |
Manejo de agua em arroz (Oryza sativa L.) irrigado em varzea do Rio Guama, estuario amazonico, Belem-Para. |
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Ano de publicação: |
1987 |
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Fonte/Imprenta: |
Piracicaba : ESALQ, 1987. |
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Páginas: |
73p. |
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Idioma: |
Português |
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Notas: |
Tese Mestrado. |
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Conteúdo: |
Foi desenvolvido na área experimental da várzea do rio Guamá, do Centro de Pesquisa agropecuária do Trópico Úmido - CPATU, em Belém, este trabalho de pesquisa objetivando estudar a resposta da cultura do arroz, no que diz respeito a produtividade e aos componentes de produção, quando submetida a diferentes manejos de água de irrigação por inundação. |
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Palavras-Chave: |
Belem; Brasil; Flood plain; Irrigated rice; Management; Pará; Rio Guamá; Yield. |
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Thesagro: |
Água; Arroz Irrigado; Manejo; Produtividade; Várzea. |
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Thesaurus Nal: |
Amazonia; irrigation; water. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01164nam a2200325 a 4500
001 1739429
005 1995-08-24
008 1987 bl uuuu m 00u1 u #d
100 1 $aMASCARENHAS, R. E. B.
245 $aManejo de agua em arroz (Oryza sativa L.) irrigado em varzea do Rio Guama, estuario amazonico, Belem-Para.
260 $aPiracicaba : ESALQ$c1987
300 $a73p.
500 $aTese Mestrado.
520 $aFoi desenvolvido na área experimental da várzea do rio Guamá, do Centro de Pesquisa agropecuária do Trópico Úmido - CPATU, em Belém, este trabalho de pesquisa objetivando estudar a resposta da cultura do arroz, no que diz respeito a produtividade e aos componentes de produção, quando submetida a diferentes manejos de água de irrigação por inundação.
650 $aAmazonia
650 $airrigation
650 $awater
650 $aÁgua
650 $aArroz Irrigado
650 $aManejo
650 $aProdutividade
650 $aVárzea
653 $aBelem
653 $aBrasil
653 $aFlood plain
653 $aIrrigated rice
653 $aManagement
653 $aPará
653 $aRio Guamá
653 $aYield
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Registro original: |
Embrapa Clima Temperado (CPACT) |
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Registro Completo
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
04/10/2011 |
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Data da última atualização: |
16/02/2023 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
GRATTAPAGLIA, D.; RESENDE, M. D. V. de; RESENDE, M. F. R.; SANSALONI, C. P.; PETROLI, C. D.; MISSIAGGIA, A. A.; TAKAHASHI, E. K.; ZAMPROGNO, K. C.; KILIAN, A. |
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Afiliação: |
DARIO GRATTAPAGLIA, CENARGEN; MARCOS DEON VILELA DE RESENDE, CNPF; Marcio F. R. Resende, UFV; Carolina P. Sansaloni, UnB; Cesar D. Petroli, UnB; Alexandre A. Missiaggia, FIBRIA; Elisabete K. Takahashi, CENIBRA; Karina C. Zamprogno, VERACEL; Andrzej Kilian, DArT - Diversity Arrays Technology. |
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Título: |
High realized accuracies of genomic selection for volume growth and wood density in Eucalyptus breeding populations with contrasting effective sizes. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: PLANT & ANIMAL GENOMES CONFERENCE, 19., 2011, San Diego. Conference... [S.l.]: International Plant & Animal Genome, 2011. |
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Idioma: |
Inglês |
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Notas: |
Abstract. W235: Forest Trees. |
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Conteúdo: |
Genomic Selection (GS) will likely cause a paradigm shift in tree breeding due to the prospects of radically increasing gain per unit time and improving selection accuracy. Deterministic simulations show GEBV (Genome Estimated Breeding Values) accuracies matching or exceeding phenotypic BLUP-based-accuracy (0.68) even with low-density marker panels (2-3 markers/centiMorgan) in breeding populations with effective sizes Ne ? 60. Furthermore, a GS-based reduction in breeding cycle time by 50% should provide a gain ?100% in selection efficiency for low heritability traits (Grattapaglia&Resende, 2010; DOI: 10.1007/s11295-010-0328-4). We now report on experimentally realized accuracies of GS for three key traits in Eucalyptus in two breeding populations (CEN and FIB) with contrasting effective sizes (Ne= 11 and Ne= 120). Genotypes at ~3,500 DArT markers and de-regressed phenotypes for Height (H), Diameter at Breast Height (DBH) and wood density (WD) (age 4yr.) were obtained for 783 and 920 random trees from CEN and FIB respectively. Sets of 700 and 838 trees for CEN and FIB were used for training and the remaining trees for validation in a jackknifing scheme. Realized GEBV accuracies for H, DBH and WD were 0.67,0.69 and 0.54 for CEN and 0.62,0.54 and 0.53 for FIB respectively. Accuracies matched and slightly surpassed expectations from simulations for FIB, possibly due to its hybrid composition. GEBV accuracies were low (zero to 0.18) across populations suggesting that population specific GS models will be necessary. These are the first experimental results of GS in forest trees and among the first public ones in plant breeding. MenosGenomic Selection (GS) will likely cause a paradigm shift in tree breeding due to the prospects of radically increasing gain per unit time and improving selection accuracy. Deterministic simulations show GEBV (Genome Estimated Breeding Values) accuracies matching or exceeding phenotypic BLUP-based-accuracy (0.68) even with low-density marker panels (2-3 markers/centiMorgan) in breeding populations with effective sizes Ne ? 60. Furthermore, a GS-based reduction in breeding cycle time by 50% should provide a gain ?100% in selection efficiency for low heritability traits (Grattapaglia&Resende, 2010; DOI: 10.1007/s11295-010-0328-4). We now report on experimentally realized accuracies of GS for three key traits in Eucalyptus in two breeding populations (CEN and FIB) with contrasting effective sizes (Ne= 11 and Ne= 120). Genotypes at ~3,500 DArT markers and de-regressed phenotypes for Height (H), Diameter at Breast Height (DBH) and wood density (WD) (age 4yr.) were obtained for 783 and 920 random trees from CEN and FIB respectively. Sets of 700 and 838 trees for CEN and FIB were used for training and the remaining trees for validation in a jackknifing scheme. Realized GEBV accuracies for H, DBH and WD were 0.67,0.69 and 0.54 for CEN and 0.62,0.54 and 0.53 for FIB respectively. Accuracies matched and slightly surpassed expectations from simulations for FIB, possibly due to its hybrid composition. GEBV accuracies were low (zero to 0.18) across populations suggesting that population ... Mostrar Tudo |
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Palavras-Chave: |
Melhoramento genético; Seleção genômica. |
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Thesaurus NAL: |
Eucalyptus. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/40976/1/2011-RAC-M.Deon-PAG-XIX-HighRealized-1.pdf
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Marc: |
LEADER 02562nam a2200253 a 4500
001 1902325
005 2023-02-16
008 2011 bl uuuu u01u1 u #d
100 1 $aGRATTAPAGLIA, D.
245 $aHigh realized accuracies of genomic selection for volume growth and wood density in Eucalyptus breeding populations with contrasting effective sizes.$h[electronic resource]
260 $aIn: PLANT & ANIMAL GENOMES CONFERENCE, 19., 2011, San Diego. Conference... [S.l.]: International Plant & Animal Genome$c2011
500 $aAbstract. W235: Forest Trees.
520 $aGenomic Selection (GS) will likely cause a paradigm shift in tree breeding due to the prospects of radically increasing gain per unit time and improving selection accuracy. Deterministic simulations show GEBV (Genome Estimated Breeding Values) accuracies matching or exceeding phenotypic BLUP-based-accuracy (0.68) even with low-density marker panels (2-3 markers/centiMorgan) in breeding populations with effective sizes Ne ? 60. Furthermore, a GS-based reduction in breeding cycle time by 50% should provide a gain ?100% in selection efficiency for low heritability traits (Grattapaglia&Resende, 2010; DOI: 10.1007/s11295-010-0328-4). We now report on experimentally realized accuracies of GS for three key traits in Eucalyptus in two breeding populations (CEN and FIB) with contrasting effective sizes (Ne= 11 and Ne= 120). Genotypes at ~3,500 DArT markers and de-regressed phenotypes for Height (H), Diameter at Breast Height (DBH) and wood density (WD) (age 4yr.) were obtained for 783 and 920 random trees from CEN and FIB respectively. Sets of 700 and 838 trees for CEN and FIB were used for training and the remaining trees for validation in a jackknifing scheme. Realized GEBV accuracies for H, DBH and WD were 0.67,0.69 and 0.54 for CEN and 0.62,0.54 and 0.53 for FIB respectively. Accuracies matched and slightly surpassed expectations from simulations for FIB, possibly due to its hybrid composition. GEBV accuracies were low (zero to 0.18) across populations suggesting that population specific GS models will be necessary. These are the first experimental results of GS in forest trees and among the first public ones in plant breeding.
650 $aEucalyptus
653 $aMelhoramento genético
653 $aSeleção genômica
700 1 $aRESENDE, M. D. V. de
700 1 $aRESENDE, M. F. R.
700 1 $aSANSALONI, C. P.
700 1 $aPETROLI, C. D.
700 1 $aMISSIAGGIA, A. A.
700 1 $aTAKAHASHI, E. K.
700 1 $aZAMPROGNO, K. C.
700 1 $aKILIAN, A.
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Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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