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The Quantitative Inhibition Effect of Meteorological Drought Scenarios on Sugarcane Growth Employed DSSAT Model in Karst Area of Lai-Bin, China
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inferredcites →https://doi.org/10.1002/9780470725184openalex-extracted
Global Sensitivity Analysis. The Primer
inferredcites →https://doi.org/10.1002/joc.4244openalex-extracted
The alleviating trend of drought in the Huang‐Huai‐Hai Plain of China based on the daily SPEI
inferredcites →https://doi.org/10.1007/s12355-013-0274-1openalex-extracted
Predicting Climate Change Impacts on Sugarcane Production at Sites in Australia, Brazil and South Africa Using the Canegro Model
inferredcites →https://doi.org/10.1007/s12355-014-0342-1openalex-extracted
Sugarcane Agriculture and Sugar Industry in China
inferredcites →https://doi.org/10.1007/s12355-015-0367-0openalex-extracted
Performance of DSSAT CSM-CANEGRO Under Operational Conditions and its Use in Determining the ‘Saving Irrigation’ Impact on Sugarcane Crop
inferredcites →https://doi.org/10.1016/j.eja.2017.10.005openalex-extracted
Spatio-temporal distribution of sugarcane potential yields and yield gaps in Southern China
inferredcites →https://doi.org/10.1016/j.envsoft.2006.10.004openalex-extracted
An effective screening design for sensitivity analysis of large models
inferredcites →https://doi.org/10.1016/s2095-3119(13)60715-7openalex-extracted
Basic Soil Productivity of Spring Maize in Black Soil Under Long-Term Fertilization Based on DSSAT Model
inferredcites →https://doi.org/10.1029/wr003i003p00663openalex-extracted
Mean range of linearly dependent normal variables with application to storage problems
inferredcites →https://doi.org/10.1038/s41597-020-0369-yopenalex-extracted
The first high-resolution meteorological forcing dataset for land process studies over China
inferredcites →https://doi.org/10.1080/00401706.1991.10484804openalex-extracted
Factorial Sampling Plans for Preliminary Computational Experiments
inferredcites →https://doi.org/10.2134/agronj2010.0302openalex-extracted
Parameterization and Evaluation of Predictions of DSSAT/CANEGRO for Brazilian Sugarcane
inferredcites →https://doi.org/10.3969/j.issn.1000-6362.2019.07.004openalex-extracted
Research Progress in Application of Crop Growth Models
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