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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
10/01/2019 |
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Data da última atualização: |
30/01/2019 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
GREEN, T. R.; ERSKINE, R. H; DAVID, O.; KIPKA, H.; LIGHTHART, N.; McMASTER, G. S.; CRUZ, P. P. N. da; FIGUEIREDO, R. de O. |
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Afiliação: |
Timothy R. Green, USDA-ARS, Center for Agricultural Resources Research, Fort Collins, Colorado, USA; Robert H. Erskine, USDA-ARS, Center for Agricultural Resources Research, Fort Collins, Colorado, USA; Olaf David, Colorado State University, Fort Collins, CO, USA; HOLM KIPKA, Colorado State University, Fort Collins, CO, USA; Nathan Lighthart, Colorado State University, Fort Collins, CO, USA; Gregory S. McMaster, USDA-ARS, Center for Agricultural Resources Research, Fort Collins, Colorado, USA; Patricia Porta Nova da Cruz; RICARDO DE OLIVEIRA FIGUEIREDO, CNPMA. |
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Título: |
The Agricultural Ecosystems Services (AgES) watershed model is used to estimate the spatial complexity of soil hydraulic properties in a field-scale agricultural watershed, Colorado, USA. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: abstracts. Viçosa, MG: SBCS, 2018. Trabalho 1014. |
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Idioma: |
Português |
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Conteúdo: |
Soil hydraulic properties that control water storage flow rates can vary markedly in space, and surface layers may vary temporally due to management events, reconsolidation and biological activity. Field measurements are expensive to collect and generally reveal complex variability that is difficult to fully characterize. Yet, these soil properties are represented using model parameters that may strongly affect simulated flows and the distribution of soil water in space and time. Thus model calibration using available measurements of soil moisture and surface runoff is essential. Here, we address the level of calibration detail needed to estimate available data by using five levels of spatial complexity in the calibrated soil parameters. Results are also explored to address issues of spatial scaling. Furthermore, a new model component of temporal changes in soil porosity and saturated hydraulic conductivity is tested to simulate effects of tillage and soil consolidation related to rainfall. Interactions between spatial and temporal parameters and processes will be discussed in terms of their influences on simulated soil moisture patterns and surface runoff. Non-uniqueness of the estimated parameter sets is recognized, but further work is needed to better quantify the information content of data needed to infer unique space-time patterns of the estimated soil hydraulic properties. |
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Palavras-Chave: |
Agricultural watershed; Spatial variability; Temporal dynamics. |
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Thesaurus Nal: |
soil hydraulic properties. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/190322/1/RA-FigueiredoRO-21WCSS-2018-Trabalho-1014.pdf
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Marc: |
LEADER 02335nam a2200241 a 4500
001 2103538
005 2019-01-30
008 2018 bl uuuu u00u1 u #d
100 1 $aGREEN, T. R.
245 $aThe Agricultural Ecosystems Services (AgES) watershed model is used to estimate the spatial complexity of soil hydraulic properties in a field-scale agricultural watershed, Colorado, USA.$h[electronic resource]
260 $aIn: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: abstracts. Viçosa, MG: SBCS, 2018. Trabalho 1014.$c2018
520 $aSoil hydraulic properties that control water storage flow rates can vary markedly in space, and surface layers may vary temporally due to management events, reconsolidation and biological activity. Field measurements are expensive to collect and generally reveal complex variability that is difficult to fully characterize. Yet, these soil properties are represented using model parameters that may strongly affect simulated flows and the distribution of soil water in space and time. Thus model calibration using available measurements of soil moisture and surface runoff is essential. Here, we address the level of calibration detail needed to estimate available data by using five levels of spatial complexity in the calibrated soil parameters. Results are also explored to address issues of spatial scaling. Furthermore, a new model component of temporal changes in soil porosity and saturated hydraulic conductivity is tested to simulate effects of tillage and soil consolidation related to rainfall. Interactions between spatial and temporal parameters and processes will be discussed in terms of their influences on simulated soil moisture patterns and surface runoff. Non-uniqueness of the estimated parameter sets is recognized, but further work is needed to better quantify the information content of data needed to infer unique space-time patterns of the estimated soil hydraulic properties.
650 $asoil hydraulic properties
653 $aAgricultural watershed
653 $aSpatial variability
653 $aTemporal dynamics
700 1 $aERSKINE, R. H
700 1 $aDAVID, O.
700 1 $aKIPKA, H.
700 1 $aLIGHTHART, N.
700 1 $aMcMASTER, G. S.
700 1 $aCRUZ, P. P. N. da
700 1 $aFIGUEIREDO, R. de O.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio-Norte. |
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Data corrente: |
18/05/2021 |
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Data da última atualização: |
18/05/2021 |
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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: |
SILVA, V. M.; NARDELI, A. J.; MENDES, N. A. de C.; ROCHA, M. de M.; WILSON, L.; YOUNG, S. D.; BROADLEY, M. R.; WHITE, P. J.; REIS, A. R. dos. |
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Afiliação: |
VINÍCIUS MARTINS SILVA, UNESP, Jaboticabal, SP, Brazil; ANA JÚLIA NARDELI, UNESP, Jaboticabal, SP, Brazil; NANDHARA ANGÉLICA DE CARVALHO MENDES, UNESP, Tupã, SP, Brazil; MAURISRAEL DE MOURA ROCHA, CPAMN; LOLITA WILSON, School of Biosciences, University of Nottingham, Sutton Bonington, Leicestershire, LE12 5RD, UK; SCOTT D. YOUNG, School of Biosciences, University of Nottingham, Sutton Bonington, Leicestershire, LE12 5RD, UK; MARTIN R. BROADLEY, School of Biosciences, University of Nottingham, Sutton Bonington, Leicestershire, LE12 5RD, UK; PHILIP J. WHITE, The James Hutton Institute, Invergowrie, Dundee, DD2 5DA, UK; ANDRÉ RODRIGUES DOS REIS, UNESP, Jaboticabal, SP, Brazil. |
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Título: |
Agronomic biofortification of cowpea with zinc: variation in primary metabolism responses and grain nutritional quality among 29 diverse genotypes. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Plant Physiology and Biochemistry, v. 162, p. 378-387, 2021. |
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Idioma: |
Inglês |
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Conteúdo: |
Dietary zinc (Zn) deficiency is widespread globally, and is particularly prevalent in low- and middle-income countries (LMICs). Cowpea (Vigna unguiculata (L.) Walp) is consumed widely in LMICs due to its high protein content, and has potential for use in agronomic biofortification strategies using Zn. This study aimed to evaluate the effect of Zn biofortification on grain nutritional quality of 29 cowpea genotypes. Zn application did not increase cowpea yield. In 11 genotypes sucrose concentration, in 12 genotypes total sugar concentration, and in 27 genotypes storage protein concentration increased in response to Zn supply. Fifteen genotypes had lower concentrations of amino acids under Zn application, which are likely to have been converted into storage proteins, mostly comprised of albumin. Phytic acid (PA) concentration and PA/Zn molar ratio were decreased under Zn application. Six genotypes increased shoot ureides concentration in response to Zn fertilization, indicating potential improvements to biological nitrogen fixation. This study provides valuable information on the potential for Zn application to increase cowpea grain nutritional quality by increasing Zn and soluble storage protein and decreasing PA concentration. These results might be useful for future breeding programs aiming to increase cowpea grain Zn concentrations through biofortification. |
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Thesagro: |
Açúcar; Aminoácido; Proteína; Vigna Unguiculata. |
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Thesaurus NAL: |
Amino acids; Phytic acid; Ureides. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/223277/1/Agronomic1-s2.0-S0981942821000875-main.pdf
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Marc: |
LEADER 02275naa a2200301 a 4500
001 2131867
005 2021-05-18
008 2021 bl uuuu u00u1 u #d
100 1 $aSILVA, V. M.
245 $aAgronomic biofortification of cowpea with zinc$bvariation in primary metabolism responses and grain nutritional quality among 29 diverse genotypes.$h[electronic resource]
260 $c2021
520 $aDietary zinc (Zn) deficiency is widespread globally, and is particularly prevalent in low- and middle-income countries (LMICs). Cowpea (Vigna unguiculata (L.) Walp) is consumed widely in LMICs due to its high protein content, and has potential for use in agronomic biofortification strategies using Zn. This study aimed to evaluate the effect of Zn biofortification on grain nutritional quality of 29 cowpea genotypes. Zn application did not increase cowpea yield. In 11 genotypes sucrose concentration, in 12 genotypes total sugar concentration, and in 27 genotypes storage protein concentration increased in response to Zn supply. Fifteen genotypes had lower concentrations of amino acids under Zn application, which are likely to have been converted into storage proteins, mostly comprised of albumin. Phytic acid (PA) concentration and PA/Zn molar ratio were decreased under Zn application. Six genotypes increased shoot ureides concentration in response to Zn fertilization, indicating potential improvements to biological nitrogen fixation. This study provides valuable information on the potential for Zn application to increase cowpea grain nutritional quality by increasing Zn and soluble storage protein and decreasing PA concentration. These results might be useful for future breeding programs aiming to increase cowpea grain Zn concentrations through biofortification.
650 $aAmino acids
650 $aPhytic acid
650 $aUreides
650 $aAçúcar
650 $aAminoácido
650 $aProteína
650 $aVigna Unguiculata
700 1 $aNARDELI, A. J.
700 1 $aMENDES, N. A. de C.
700 1 $aROCHA, M. de M.
700 1 $aWILSON, L.
700 1 $aYOUNG, S. D.
700 1 $aBROADLEY, M. R.
700 1 $aWHITE, P. J.
700 1 $aREIS, A. R. dos
773 $tPlant Physiology and Biochemistry$gv. 162, p. 378-387, 2021.
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