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Enhancing crop model parameter estimation using the GLUE method and parallel computing

By Fabio Oliveira • November 1, 2024 • Publications, Tools • Comments Off on Enhancing crop model parameter estimation using the GLUE method and parallel computing

We recently published a manuscript entitled “Enhancing crop model parameter estimation across computing environments: Utilizing the GLUE method and parallel computing for determining genetic coefficients” in Computers and Electronics in Agriculture. The study describes improvements in the Generalized Likelihood Uncertainty Estimation (GLUE) program, introducing a new parallel computing system for calibrating genetic parameters within the crop […]

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If you are planning to use DSSAT in any reports or publications, please make sure to refer to the version number you used. The version and sub-version numbers can be found in the top section of your output files, e.g., 4.8.X (replace X with current version). In addition, please use the following two references for DSSAT and the Cropping System Model. Other related publications can be found in the Documentation section under DSSAT References and Model References.

Hoogenboom, G., C.H. Porter, K.J. Boote, V. Shelia, P.W. Wilkens, U. Singh, J.W. White, S. Asseng, J.I. Lizaso, L.P. Moreno, W. Pavan, R. Ogoshi, L.A. Hunt, G.Y. Tsuji, and J.W. Jones. 2019. The DSSAT crop modeling ecosystem. In: p.173-216 [K.J. Boote, editor] Advances in Crop Modeling for a Sustainable Agriculture. Burleigh Dodds Science Publishing, Cambridge, United Kingdom (https://dx.doi.org/10.19103/AS.2019.0061.10).
Hoogenboom, G., C.H. Porter, V. Shelia, K.J. Boote, U. Singh, W. Pavan, F.A.A. Oliveira, L.P. Moreno-Cadena, T.B. Ferreira, J.W. White, J.I. Lizaso, D.N.L. Pequeno, B.A. Kimball, P.D. Alderman, K.R. Thorp, S.V. Cuadra, M.S. Vianna, F.J. Villalobos, W.D. Batchelor, S. Asseng, M.R. Jones, A. Hopf, H.B. Dias, A. Jintrawet, R. Jaikla, E. Memic, L.A. Hunt, and J.W. Jones. 2024. Decision Support System for Agrotechnology Transfer (DSSAT) Version 4.8.5 (www.DSSAT.net). DSSAT Foundation, Gainesville, Florida, USA.
Jones, J.W., G. Hoogenboom, C.H. Porter, K.J. Boote, W.D. Batchelor, L.A. Hunt, P.W. Wilkens, U. Singh, A.J. Gijsman, and J.T. Ritchie. 2003. The DSSAT cropping system model. European Journal of Agronomy 18:235-265 (https://doi.org/10.1016/S1161-0301(02)00107-7).

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Enhancing crop model parameter estimation using the GLUE method and parallel computing

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