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Related Experiment Video

Updated: Jun 29, 2025

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CSM-CROPGRO model to simulate safflower phenological development and yield.

Obaid Afzal1, Mukhtar Ahmed2, Fayyaz-Ul-Hassan1

  • 1Department of Agronomy, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, 46300, Pakistan.

International Journal of Biometeorology
|March 28, 2024
PubMed
Summary

The DSSAT-CSM-CROPGRO-Safflower model accurately predicts safflower growth and yield across diverse climates. This validated crop simulation tool aids in optimizing safflower cultivation and its integration into various agroecological regions.

Keywords:
CSM-DSSAT-CROPGROCalibrationGLUEGenetic coefficientsSafflower

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Area of Science:

  • Agricultural Science
  • Agronomy
  • Crop Modeling

Background:

  • Crop simulation models are essential for agricultural decision-making and crop improvement.
  • The CSM-CROPGRO model integrates genotype, environment, and management for simulating crop performance.
  • Understanding safflower's response to varied climates is crucial for enhancing its productivity.

Purpose of the Study:

  • To evaluate the performance of the DSSAT-CSM-CROPGRO-Safflower model (Version 4.8.2) under diverse climatic conditions.
  • To calibrate and validate the model using field observations for phenology, biomass, and safflower grain yield (SGY).
  • To assess the model's predictive capability for safflower growth and yield.

Main Methods:

  • Model calibration using 2016-17 field data for phenology, biomass, and SGY.
  • Estimation of genetic coefficients using the GLUE (Genetic Likelihood Uncertainty Estimation) program.
  • Validation of simulated results against observed data using statistical indices like RMSE and d-index.

Main Results:

  • The model showed good statistical indices for predicting days to flowering and maturity (low RMSE, high d-index).
  • Safflower biomass at flowering and maturity was predicted fairly (low RMSE, high d-index).
  • The model demonstrated strong performance in validating safflower grain yield (low RMSE, high d-index) across genotypes and conditions.

Conclusions:

  • The DSSAT-CSM-CROPGRO-Safflower model is a reliable tool for simulating safflower growth and yield.
  • Safflower exhibits resilience to different environments, suggesting its potential as an alternative crop.
  • The model can inform decisions on integrating safflower into existing cropping systems.