01744naa a2200181 a 450000100080000000500110000800800410001910000210006024500630008126000090014450000210015352010600017470000170123470000220125170000150127370000170128877302570130514676962008-04-02       1999    bl ---       0--  u    #d1 aFARIAS, J. R. B.  aEvaluation of soybean yield estimation by the model SARRA.  c1999  aResumo (IV-P-3).  aThe use o models to estimate the influence of climate on growth and development of crops is quite recent. There are many models for the soybean crop, however, only a few are user-friendly and require small datasets. In many Brazilian regions available climatic information is scarce, which restrict the use of more precise and more complex simulation models. The model SARRA (Systeme d'Analyse Regionale des Risques Agroclimatiques) estimates crop development as a function of crop water consumption and regional water availability. Since water availability is one of the main factors affecting the variability of soybean yield in time space, the model SARRA provides a good alternative due to its easy use and it requires small, easy to find datasets. The present work aimed to evaluate the consistency of the grain yield estimates from simulations of the water balance by the model SARRA. Although the equations relating to grain yield and crop water balance have to be  improved, the model proved to be a good estimator of the soybean crop development.1 aNEUMAIER, N.1 aNEPOMUCENO, A. L.1 aMARAUX, F.1 aVAL, W. M. C  tIn: INTERNATIONAL SYMPOSIUM ON SYSTEMS APPROACHES FOR AGRICULTURAL DEVELOPMENT (SAAD-III), 3., 1999, Lima, Peru. Methodologies for interdisciplinary multiple scale perspectives: participants manual. Lima: ICASA/CIP/UNALM/IFDC/ILRI, 1999. Não paginado.