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Rodrigues,Rafael de Ávila; Pedrini,João Eduardo; Fraisse,Clyde William; Fernandes,José Maurício Cunha; Justino,Flávio Barbosa; Heinemann,Alexandre Bryan; Costa,Luiz Cláudio; Vale,Francisco Xavier Ribeiro do. |
In recent years, crop models have increasingly been used to simulate agricultural features. The DSSAT (Decision Support System for Agrotechnology Transfer) is an important tool in modeling growth; however, one of its limitations is related to the unaccounted-for effect of diseases. Therefore, the goals of this study were to calibrate and validate the CSM CROPGRO-Soybean for the soybean cultivars M-SOY 6101 and MG/BR 46 (Conquista), analyze the performance and the effect of Asian soybean rust on these cultivars under the environmental conditions of Viçosa, Minas Gerais, Brazil. The experimental data for the evaluation, testing, and adjustment of the genetic coefficients for the cultivars, M-SOY 6101 and MG/BR 46 (Conquista), were obtained during the... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: DSSAT; Calibration; Validation; Modeling; Rust epidemics. |
Ano: 2012 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052012000200021 |
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Leite,João Guilherme Dal Belo; Silva,João Vasco; Justino,Flávio Barbosa; Ittersum,Martin K. van. |
Pushed by the Brazilian biodiesel policy, sunflower (Helianthus annuus L.) production is becoming increasingly regarded as an option to boost farmers' income, particularly under semi-arid conditions. Biodiesel related opportunities increase the demand for decision-making information at different levels, which could be met by simulation models. This study aimed to evaluate the performance of the crop model OILCROP-SUN to simulate sunflower development and growth under Brazilian conditions and to explore sunflower water- and nitrogen-limited, water-limited and potential yield and yield variability over an array of sowing dates in the northern region of the state of Minas Gerais, Brazil. For model calibration, an experiment was conducted in which two... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Production systems; Family farms; Biodiesel crops; Climate classification. |
Ano: 2014 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162014000500001 |
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