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This paper presents the results of fitting simulation model STICS, previous validated for maize and beans, for growth prediction of rice under different management conditions in south of Havana. It was used and processed the experimental field information for define the climatic and soil input files and for the output files with the data of the two important crop functions: leaf area index and dray matter production. The optimization of crop file parameters was done using the experimental information of winter or dray season and the optimization module of STICS model that uses as optimization criteria the minimum of mean square error. The validation of this crop file parameters was done using data of another season cold and dry season. As a result of this work it was adjusted a new crop file for rice (STICS-Rice), that resume the general characteristics of rice crop and particularities of crop growth faces of the studied variety (J-104). However for complete validation of the model with respect to prediction of irrigation management strategies in this crop, it is necessary due field observations of variables related to water storage in the root zone and plant water consume and this will be understood in the continuity of the investigation and validation work. [ABSTRACT FROM AUTHOR]

The paper tries a calculation methodology of the productivity of the rice harvester in function use of shift time, when the same ones work for the outline of circular movement. During the calculation of the productivity they are kept in mind the parameters and work regimen of the machines, what allows to specify the factors in which it is necessary to influence to diminish the losses of time of useful work and consequently to elevate the productivity of the harvesters. [ABSTRACT FROM AUTHOR]