Summary
The use of crop simulation models to predict yield, associated with decision support systems such as Decision Support System for Agrotechnology Transfer (DSSAT), are useful tools to test different management strategies.
The potato growth model included in DSSAT is SUBSTOR-potato. To evaluate its performance in Argentina it was calibrated and validated using experimental results from different sites and years. Cultivar-specific coefficients were obtained during calibration. Validation based on several independent sets of field data, including cvs Huinkul, Kennebec, Mailén and Spunta showed good agreement (R2=0.915; n=24) between observed and simulated values in normal ranges of tuber yields. However, when the input parameter maturity date was not taken into account, tuber yields were overvalued due to an overestimation of LAI values during maturation. To solve this problem, a genetic coefficient for the duration of tuber filling needs to be included in the model.
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Travasso, M.I., Caldiz, D.O. & Saluzzo, J.A. Yield prediction using the SUBSTOR-potato model under Argentinian conditions. Potato Res 39, 305–312 (1996). https://doi.org/10.1007/BF02360922
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DOI: https://doi.org/10.1007/BF02360922