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Veçozzi,Thais Antolini; Sousa,Rogério Oliveira de; Scivittaro,Walkyria Bueno; Weinert,Cristiano; Tarrillo,Victor Raul Cieza. |
ABSTRACT: A study was conducted to evaluate the solubilization and nitrogen (N) use efficiency (NUE) of controlled release nitrogen fertilizers in irrigated rice, compared to urea. It was developed under semi-controlled conditions, including five treatments: Control, Splitted Urea (pre-sowing and topdressing), Pre-sowing urea, and Polymer Coated Urea (PCU) with 60-day and 90-day release. PCUs did not maintain high NH4 + and NO3 - levels in solution over a longer period than urea. NUE of PCUs was similar to uncoated urea, not increasing nutrient release in irrigated rice field. |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Nitrogen fertilization; Polymer coated urea; Efficiency; Flooded soil. |
Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018000100251 |
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Weiler,Douglas Adams; Tornquist,Carlos Gustavo; Zschornack,Tiago; Ogle,Stephen Michael; Carlos,Filipe Selau; Bayer,Cimélio. |
ABSTRACT The DayCent ecosystem model, widely tested in upland agroecosystems, was recently updated to simulate waterlogged soils. We evaluated the new version in a paddy rice experiment in Southern Brazil. DayCent was used to simulate rice yield, soil organic carbon (SOC), and soil CH4 fluxes. Model calibration was conducted with a multiple-year dataset from the conventional tillage treatment, followed by a validation phase with data from the no-tillage treatment. Model performance was assessed with statistics commonly used in modeling studies: root mean square error (RMSE), model efficiency (EF), and mean difference (M). In general, DayCent slightly underestimated rice yields under no-tillage (by 0.07 Mg ha-1, or 9.2 %) and slightly overestimated soil C... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Modeling; Soil potential redox; Flooded soil; Greenhouse gas; Soil tillage. |
Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100523 |
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