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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
12/08/2015 |
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Data da última atualização: |
28/01/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
HONG, J.; GRUNWALD, S.; VASQUES, G. M. |
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Afiliação: |
JINSEOK HONG, EAST TENNESSEE STATE UNIVERSITY; SABINE GRUNWALD, UNIVERSITY OF FLORIDA; GUSTAVO DE MATTOS VASQUES, CNPS. |
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Título: |
Soil phosphorus landscape models for precision soil conservation. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Journal of Environmental Quality, Madison, v. 44, n. 3, p. 739-753, 2015. |
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DOI: |
10.2134/jeq2014.09.0379 |
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Idioma: |
Inglês |
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Conteúdo: |
Phosphorus (P) enrichment in soils has been documented in the Santa Fe River watershed (SFRW, 3585 km2) in north-central Florida. Yet the environmental factors that control P distribution in soils across the landscape, with potential contribution to water quality impairment, are not well understood. The main goal of this study was to develop soil-landscape P models to support a "precision soil conservation" approach combining fine-scale (i.e., site-specific) and coarse-scale (i.e., watershed-extent) assessment of soil P. The specific objectives were to: (i) identify those environmental properties that impart the most control on the spatial distribution of soil Mehlich-1 extracted P (MP) in the SFRW; (ii) model the spatial patterns of soil MP using geostatistical methods; and (iii) assess model quality using independent validation samples. Soil MP data at 137 sites were fused with spatially explicit environmental covariates to develop soil MP prediction models using univariate (lognormal kriging, LNK) and multivariate methods (regression kriging, RK, and cokriging, CK). Incorporation of exhaustive environmental data into multivariate models (RK and CK) improved the prediction of soil MP in the SFRW compared with the univariate model (LNK), which relies solely on soil measurements. Among all tested environmental covariates, land use and vegetation related properties (topsoil) and geologic data (subsoil) showed the largest predictive power to build inferential models for soil MP. Findings from this study contribute to a better understanding of spatially explicit interactions between soil P and other environmental variables, facilitating improved land resource management while minimizing adverse risks to the environment. MenosPhosphorus (P) enrichment in soils has been documented in the Santa Fe River watershed (SFRW, 3585 km2) in north-central Florida. Yet the environmental factors that control P distribution in soils across the landscape, with potential contribution to water quality impairment, are not well understood. The main goal of this study was to develop soil-landscape P models to support a "precision soil conservation" approach combining fine-scale (i.e., site-specific) and coarse-scale (i.e., watershed-extent) assessment of soil P. The specific objectives were to: (i) identify those environmental properties that impart the most control on the spatial distribution of soil Mehlich-1 extracted P (MP) in the SFRW; (ii) model the spatial patterns of soil MP using geostatistical methods; and (iii) assess model quality using independent validation samples. Soil MP data at 137 sites were fused with spatially explicit environmental covariates to develop soil MP prediction models using univariate (lognormal kriging, LNK) and multivariate methods (regression kriging, RK, and cokriging, CK). Incorporation of exhaustive environmental data into multivariate models (RK and CK) improved the prediction of soil MP in the SFRW compared with the univariate model (LNK), which relies solely on soil measurements. Among all tested environmental covariates, land use and vegetation related properties (topsoil) and geologic data (subsoil) showed the largest predictive power to build inferential models for soil M... Mostrar Tudo |
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Palavras-Chave: |
Modelo de precisão. |
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Thesagro: |
Conservação do solo; Fósforo. |
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Thesaurus Nal: |
Phosphorus; Precision. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02383naa a2200217 a 4500
001 2021794
005 2016-01-28
008 2015 bl uuuu u00u1 u #d
024 7 $a10.2134/jeq2014.09.0379$2DOI
100 1 $aHONG, J.
245 $aSoil phosphorus landscape models for precision soil conservation.$h[electronic resource]
260 $c2015
520 $aPhosphorus (P) enrichment in soils has been documented in the Santa Fe River watershed (SFRW, 3585 km2) in north-central Florida. Yet the environmental factors that control P distribution in soils across the landscape, with potential contribution to water quality impairment, are not well understood. The main goal of this study was to develop soil-landscape P models to support a "precision soil conservation" approach combining fine-scale (i.e., site-specific) and coarse-scale (i.e., watershed-extent) assessment of soil P. The specific objectives were to: (i) identify those environmental properties that impart the most control on the spatial distribution of soil Mehlich-1 extracted P (MP) in the SFRW; (ii) model the spatial patterns of soil MP using geostatistical methods; and (iii) assess model quality using independent validation samples. Soil MP data at 137 sites were fused with spatially explicit environmental covariates to develop soil MP prediction models using univariate (lognormal kriging, LNK) and multivariate methods (regression kriging, RK, and cokriging, CK). Incorporation of exhaustive environmental data into multivariate models (RK and CK) improved the prediction of soil MP in the SFRW compared with the univariate model (LNK), which relies solely on soil measurements. Among all tested environmental covariates, land use and vegetation related properties (topsoil) and geologic data (subsoil) showed the largest predictive power to build inferential models for soil MP. Findings from this study contribute to a better understanding of spatially explicit interactions between soil P and other environmental variables, facilitating improved land resource management while minimizing adverse risks to the environment.
650 $aPhosphorus
650 $aPrecision
650 $aConservação do solo
650 $aFósforo
653 $aModelo de precisão
700 1 $aGRUNWALD, S.
700 1 $aVASQUES, G. M.
773 $tJournal of Environmental Quality, Madison$gv. 44, n. 3, p. 739-753, 2015.
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Registro original: |
Embrapa Solos (CNPS) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
08/12/2023 |
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Data da última atualização: |
13/12/2023 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
LACORTE, C. C.; FERREIRA, A. L.; MURAD, A. M.; CUNHA, N. B. da; PINHEIRO, P. V. |
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Afiliação: |
CRISTIANO CASTRO LACORTE, Cenargen; AMANDA LOPES FERREIRA, bolsista CNPAF; ALINE MELRO MURAD, UFSC; NICOLAU BRITO DA CUNHA, UNB; PATRICIA VALLE PINHEIRO, CNPAF. |
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Título: |
Seed-based production of recombinant proteins. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
In: KOLE, C.; CHAURASIA, A.; HEFFERON, K. L.; PANIGRAHI, J. (ed.). Tools & techniques of plant molecular farming. [S.l.]: Springer Singapore, 2023. Cap. 6. |
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Páginas: |
Cap. 6, p. 185-208. |
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DOI: |
https://doi.org/10.1007/978-981-99-4859-8_6 |
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Idioma: |
Inglês |
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Conteúdo: |
The use of plants to produce recombinant proteins has become a promising alternative to current expression systems based on microorganisms and cell cultures. Producing recombinant proteins in plants presents advantages such as reduced upstream costs, lower probability of infection by mammals’ pathogens, and easy scale-up production. Furthermore, plants can make posttranslational modifications and express large and complex proteins. Seeds stand out for their intrinsic characteristics among the plant tissues that can be used for recombinant protein production. In seeds, recombinant proteins are stored in protein storage vacuoles in the endosperm cells. They can be stably maintained for 4–6 years at room temperature without significant loss of protein and biological activity. Progress in methods for genome editing, alteration of the glycosylation pattern of the recombinant proteins produced, and use of protein fusions to aid downstream processes are some trends that shall contribute further to make molecular farming an attractive option for recombinant protein production. This chapter discusses the potential of seeds as a platform for producing recombinant proteins, across the scale-up of the production systems, basic approaches for the purification of recombinant proteins from plant cells, and biosafety issues |
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Palavras-Chave: |
Foreign gene expression; Fusion proteins; Heterologous protein production; Plant molecular farming; Recombinant protein purification. |
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Thesaurus NAL: |
Biosafety; Glycosylation. |
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Categoria do assunto: |
--
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02273naa a2200277 a 4500
001 2159472
005 2023-12-13
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/978-981-99-4859-8_6$2DOI
100 1 $aLACORTE, C. C.
245 $aSeed-based production of recombinant proteins.$h[electronic resource]
260 $c2023
300 $aCap. 6, p. 185-208.
520 $aThe use of plants to produce recombinant proteins has become a promising alternative to current expression systems based on microorganisms and cell cultures. Producing recombinant proteins in plants presents advantages such as reduced upstream costs, lower probability of infection by mammals’ pathogens, and easy scale-up production. Furthermore, plants can make posttranslational modifications and express large and complex proteins. Seeds stand out for their intrinsic characteristics among the plant tissues that can be used for recombinant protein production. In seeds, recombinant proteins are stored in protein storage vacuoles in the endosperm cells. They can be stably maintained for 4–6 years at room temperature without significant loss of protein and biological activity. Progress in methods for genome editing, alteration of the glycosylation pattern of the recombinant proteins produced, and use of protein fusions to aid downstream processes are some trends that shall contribute further to make molecular farming an attractive option for recombinant protein production. This chapter discusses the potential of seeds as a platform for producing recombinant proteins, across the scale-up of the production systems, basic approaches for the purification of recombinant proteins from plant cells, and biosafety issues
650 $aBiosafety
650 $aGlycosylation
653 $aForeign gene expression
653 $aFusion proteins
653 $aHeterologous protein production
653 $aPlant molecular farming
653 $aRecombinant protein purification
700 1 $aFERREIRA, A. L.
700 1 $aMURAD, A. M.
700 1 $aCUNHA, N. B. da
700 1 $aPINHEIRO, P. V.
773 $tIn: KOLE, C.; CHAURASIA, A.; HEFFERON, K. L.; PANIGRAHI, J. (ed.). Tools & techniques of plant molecular farming. [S.l.]: Springer Singapore, 2023. Cap. 6.
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Embrapa Arroz e Feijão (CNPAF) |
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