Uncertainty of CERES-Maize Calibration under Different Irrigation Strategies Using PEST Optimization Algorithm
An important but rarely studied aspect of crop modeling is the uncertainty associated with model calibration and its effect on model prediction. Biomass and grain yield data from a four-year maize experiment (2008−2011) with six irrigation treatments were divided into subsets by either tre...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-05-01
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| Series: | Agronomy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4395/9/5/241 |