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| Tironi,Luana F.; Streck,Nereu A.; Gubiani,Paulo I.; Benedetti,Rômulo P.; Freitas,Charles P. de O. De. |
| ABSTRACT The objective of this study was to propose a model, named Simanihot, for simulating growth, development and yield of tuberous roots in cassava, with a choice of two soil water balance models. The model works on a day time step and is calibrated for five cassava cultivars (Fepagro –RS 14, Estrangeira, Cascuda, São José e Paraguaia), with different branching habits and different purpose of use (pasture, food and industry). The model has a graphical interface, where the user can choose one out of two soil water balance models, depending upon the number of known soil variables and details the user wants to know about soil water content. |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Manihot esculenta; Modeling; Software; Soil water balance. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000300471 |
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| Gubiani,Paulo I.; Reinert,Dalvan J.; Reichert,José M.; Goulart,Rafael Z.; Fontanela,Eracilda. |
| ABSTRACT Soil compression curve (CC) provides parameters to identify soil load-bearing capacity and susceptibility to compaction. An Excel add-in (ACC) incorporating graphical procedures for mathematical models for soil CC description and calculation of parameters was developed. By using the ACC, soil CC can be described by means of the Casagrande method, mathematically operationalized with the van Genuchten equation, with or without restrictions on its parameters, and by Dias Junior and Pierce method in its original form and also modified using the void ratio rather than soil bulk density. The ACC uses a single Excel spreadsheet for input and output data, in addition to a graphical interface and a tool for exporting editable charts. Compared to SAS... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Compressibility; Precompression stress; Load-bearing capacity. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000300603 |
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