Article ; Online: CSM-CROPGRO model to simulate safflower phenological development and yield.
International journal of biometeorology
2024
Abstract: Crop simulation models are valuable tools for decision making regarding evaluation and crop improvement under different field conditions. CSM-CROPGRO model integrates genotype, environment and crop management portfolios to simulate growth, development ... ...
Abstract | Crop simulation models are valuable tools for decision making regarding evaluation and crop improvement under different field conditions. CSM-CROPGRO model integrates genotype, environment and crop management portfolios to simulate growth, development and yield. Modeling the safflower response to varied climate regimes are needed to strengthen its productivity dynamics. The main objective of the study was to evaluate the performance of DSSAT-CSM-CROPGRO-Safflower (Version 4.8.2) under diverse climatic conditions. The model was calibrated using the field observations for phenology, biomass and safflower grain yield (SGY) of the year 2016-17. Estimation of genetic coefficients was performed using GLUE (Genetic Likelihood Uncertainty Estimation) program. Simulated results for days to flowering, maturity, biomass at flowering and maturity and SGY were predicted reasonably with good statistical indices. Model evaluation results elucidate phenological events with low root mean square error (6.32 and 6.52) and high d-index (0.95 and 0.96) for days to flowering and maturity respectively for all genotypes and climate conditions. Fair prediction of safflower biomass at flowering and maturity showed low RMSE (887.3 and 564.3 kg ha |
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Language | English |
Publishing date | 2024-03-27 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 280324-0 |
ISSN | 1432-1254 ; 0020-7128 |
ISSN (online) | 1432-1254 |
ISSN | 0020-7128 |
DOI | 10.1007/s00484-024-02662-0 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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