Data/hora: 14/06/2024 16:08:23

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	19/10/2011	
Data da última atualização: 	03/03/2023	
Autoria: 	MARIN, F. R.; JONES, J. W.; ROYCE, F.; SUGUITANI, C.; DONZELLI, J. L.; PALLONE FILHO, W.; NASSIF, D. S. P.	
Afiliação: 	FÁBIO 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.	
Título: 	Parameterization and evaluation of predictions of DSSAT/CANEGRO for Brazilian sugarcane.	
Ano de publicação: 	2011	
Fonte/Imprenta: 	In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 17., 2011, Guarapari. Riscos climáticos e cenários agrícolas futuros: anais. Guarapari: Incaper, 2011.	
Páginas: 	p. 1-5.	
Descrição Física: 	1 CD-ROM.	
Idioma: 	Inglês	
Notas: 	CBA 2011.	
Conteúdo: 	The 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).	
Palavras-Chave: 	Cana-de-açúcar; Modelagem de culturas; Modeling; Modelo DSSAT/CANEGRO; Validação.	
Thesaurus Nal: 	Model validation; Saccharum; Sugarcane.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/43917/1/cba04-285-366.pdf	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (15996-1) - UPC - AA - DD -  -  - 2011.00006 - DIS