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Can I read Evaluating and improving APSIM's capacity in simulating long-term corn yield response to nitrogen in continuous- and rotated-corn systems on EtoBox?
Evaluating and improving APSIM's capacity in simulating long-term corn yield response to nitrogen in continuous- and rotated-corn systems by Mitchell E. Baum; John E. Sawyer; Emerson D. Nafziger; Isaiah Huber; Peter J. Thorburn; Michael J. Castellano; Sotirios V. Archontoulis is a Agricultural and Biological Sciences article available to read on EtoBox.
What is Evaluating and improving APSIM's capacity in simulating long-term corn yield response to nitrogen in continuous- and rotated-corn systems about?
CONTEXT Process-based models are increasingly used to explain and predict crop yields and long-term changes in soil organic matter (SOM) and hence should be regularly evaluated for their accuracy. Currently, there is a knowledge gap of how well process-based models can estimate the economic optimum nitrogen rate (EONR) across environments and years. OBJECTIVES We evaluated the Agricultural Production Systems sIMulator (APSIM) software ability to simulate corn yield response to nitrogen (N) input and crop rotation in long term experiments. Furthermore, we explored causes for over/under prediction of the EONR. METHODS Measurements included crop yields from 14 long-term (N) fertilizer rate experiments representing major production regions in the U.S. Corn Belt and SOM distribution from seven long-term experiments. Corn yield response to N rate was analyzed with statistical models to estimate the EONR (386 N rate trials). RESULTS And CONCLUSIONS The model successfully captured spatiotemporal patterns in observed crop yields across N rates in the soybean-corn (SC) system, but overpredicted crop yield by 5–25% at high N rates in the corn-corn (CC) system. This overprediction was partiall
Who reads Evaluating and improving APSIM's capacity in simulating long-term corn yield response to nitrogen in continuous- and rotated-corn systems?
It is typically read by researchers, students, and practitioners in Agricultural and Biological Sciences.
- Author
- Mitchell E. Baum; John E. Sawyer; Emerson D. Nafziger; Isaiah Huber; Peter J. Thorburn; Michael J. Castellano; Sotirios V. Archontoulis
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Agricultural and Biological Sciences (Life Sciences)