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dc.contributor.authorMARIN, F. R.
dc.contributor.authorJONES, J. W.
dc.contributor.authorROYCE, F.
dc.contributor.authorSUGUITANI, C.
dc.contributor.authorDONZELLI, J. L.
dc.contributor.authorPALLONE FILHO, W.
dc.contributor.authorNASSIF, D. S. P.
dc.date.accessioned2023-03-03T13:57:26Z-
dc.date.available2023-03-03T13:57:26Z-
dc.date.created2011-10-19
dc.date.issued2011
dc.identifier.citationIn: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 17., 2011, Guarapari. Riscos climáticos e cenários agrícolas futuros: anais. Guarapari: Incaper, 2011.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/903514-
dc.descriptionThe DSSAT/CANEGRO model was parameterized and its predictions evaluated using data from five sugarcane experiments conducted in Southern Brazil. Some parameters whose values were either directly measured or considered to be well-known were not adjusted. Ten of the 20 parameters were optimized using a Generalized Likelihood Uncertainty Estimation (GLUE) algorithm using the leave-one-out cross-validation technique. Model predictions were evaluated using measured data of LAI, stalk and aerial dry mass, sucrose content, and soil water content, using bias, root mean squared error (RMSE), modeling efficiency (Eff), correlation coefficient and agreement index. The DSSAT/CANEGRO model simulated the sugarcane crop in Southern Brazil well, using the parameterization reported here. The soil water content predictions were better for rainfed (mean RMSE=0.122mm) than for irrigated treatment (mean RMSE=0.214mm). Predictions were best for aerial dry mass (Eff=0.85), followed by stalk dry mass (Eff=0.765) and then sucrose mass (Eff=0.17). Number of green leaves showed the worst fit (Eff=-2.300).
dc.format1 CD-ROM.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectCana-de-açúcar
dc.subjectModelagem de culturas
dc.subjectValidação
dc.subjectModelo DSSAT/CANEGRO
dc.subjectModeling
dc.titleParameterization and evaluation of predictions of DSSAT/CANEGRO for Brazilian sugarcane.
dc.typeArtigo em anais e proceedings
dc.subject.nalthesaurusSugarcane
dc.subject.nalthesaurusSaccharum
dc.subject.nalthesaurusModel validation
dc.description.notesCBA 2011.
dc.format.extent2p. 1-5.
riaa.ainfo.id903514
riaa.ainfo.lastupdate2023-03-03
dc.contributor.institutionFÁBIO RICARDO MARIN, CNPTIA; JAMES W. JONES, Universidade da Florida; FEDERICK ROYCE, Universidade da Florida; CARLOS SUGUITANI, Centro de Tecnologia Canavieira; JORGE L. DONZELLI, Centro de Tecnologia Canavieira; WANDER PALLONE FILHO, Centro de Tecnologia; DANIEL S. P. NASSIF, ESALQ/USP.
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