CSM-CROPGRO model to simulate safflower phenological development and yield
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View abstract on PubMed
Summary
This summary is machine-generated.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.
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.
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