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Generalized Likelihood Uncertainty Analysis for DSSAT cultivar parameter estimation.

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Generalized Likelihood Uncertainty Estimation Parallelized


The GLUE (Generalized Likelihood Uncertainty Estimation) method is used to estimate genotype-specific coefficients for the DSSAT crop models. It is a Bayesian estimation approach that uses Monte Carlo sampling from prior distributions of the coefficients and a Gaussian likelihood function to determine the best coefficients based on the data used in the estimation process. More information can be found on the User Guideline documentation.

The Generalized Likelihood Uncertainty Estimation Parallelized (GLUEP) leverages the GLUE method and parallel processing to significantly reduce the time required for estimating the genotype-specific coefficients (GSPs). The software divides into chunks the total number of simulations according to the number of cores (CPUs) available. Each CPU core processes the simulations independently, and the results are combined afterward to evaluate which parameter set of GSPS was able to represent better the data observations provided.

The GLUEP uses the default R library "parallel" for parallel processing through network sockets.


How to use it

  • Create a "SimulationControl.csv" file. This is a configuration file for running GLUE. Find below the required structure for the file.

  • Create a C file (similar to a batch file) and put it in your working directory. RUNNING THIS GLUE VERSION IN THE COMMAND LINE WILL NOT CREATE THE C FILE (Use the GLUESelect interface to generate the file).

  • Check if the cultivar to be calibrated is defined inside the .CUL with a unique ID and some initial values for the genotype-specific coefficients. GLUE will use the "MINIMA" and "MAXIMA" inside the cultivar/ecotype file to estimate the new genetic coefficients. Also, make sure that your genotype files have a "!Calibration" line identifying which coefficients are related to phenology ("P"), growth ("G"), and not applicable ("N").

  • On the command prompt/terminal, go to the GLUE directory and run GLUE using the command:

        Rscript GLUE.r
  • Windows users should specify the full path to Rscript (Usually located in C:\Program Files\R...\bin\Rscript.exe).

  • GLUEP will calibrate the GSPs inside the ecotype file if ecotypeCalibration equals "Y".

  • To save previous runs, please move the results to another folder or create a folder named "BackUp" inside your output directory (usually defined as GLWork).


Structure of simulation control file

  • CultivarBatchFile - Define the file C (batch) to be used (the file should be located inside the GLWork/working directory).
  • ModelID - Inform which model should be used for the calibration (Tip: All model IDs can be found in the DSCSM048.CTR).
  • EcotypeCalibration - Indicates if GLUE should also calibrate the coefficients on the respective ecotype (.ECO) file. -- EcotypeCalibration = "Y" indicates that GLUE should also calibrate the Ecotype coefficients for this cultivar. The .ECO file MUST be well structured with "MAXIMA" and "MINIMA" and each coefficient and MUST contain a header indicating whether it is associated with phenology ("P"), dry mass growth ("G"), or not applicable ("N").
  • GLUED - Define the path for the GLUE directory.
  • OutputD - Define the directory path for the working directory and cultivar calibration outputs.
  • DSSATD - Define the directory path where DSSAT is located.
  • GenotypeD - Define the directory path where the genotype-related files are located (.CUL, .ECO, .SPE).
  • GLUEFlag - Define the flag for the GLUE procedure. -- GLUEFlag = 1, both coefficients related to phenology and growth will be evaluated; -- GLUEFlag = 2, only phenology will be evaluated; -- GLUEFlag = 3, only growth will be evaluated;
  • NumberOfModelRun - Define the number of model runs for each treatment.
  • Cores - Indicate the number of cores (CPUs) to run the coefficient calibration. If Cores = "", GLUE will assume that it is running on a High Performance Computer (SLURM job scheduler) and use the same amount of cores specified through the "--cpus-per-task" command (usually defined in the SLURM job request file - .sh). Use "parallel::detectCores()" command in R or RStudio to check the number of cores available. When requesting more cores than what is actually available, GLUE will use the maximum number of cores - 1 to execute the calibration. We do not recommend the use of all available cores in your machine for running GLUE.

NOTES

  • The size of the soil profile file (e.g. .SOL) impacts the time required to run the cultivar calibration. It is recommended to create a soil file with only the profiles being used during the calibration; Windows users running this application from the command prompt need to use "/" instead of "" when defining the paths in the SimulationControl.csv file.

General information

GLUEP is currenly maintained by Thiago Berton Ferreira, Vakthang Shelia and Gerrit Hoogenboom.

Contributions are always welcome via "Issues" in the issue-board.


Cite the software

Ferreira, T. B., V. Shelia, C. Porter, P. M. Cadena, M. S. Cortasa, M. S. Khan, W. Pavan, G. Hoogenboom. 2024. Enhancing crop model parameter estimation across computing environments: Utilizing the GLUE method and parallel computing for determining genetic coefficients. Computers and Electronics in Agriculture, 227, 109513 (https://doi.org/10.1016/j.compag.2024.109513).

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Generalized Likelihood Uncertainty Analysis for DSSAT cultivar parameter estimation.

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