Adaptation and evaluation of the CROPGRO-soybean model to predict regional yield and production ☆

By S. Jagtap, James W. Jones. 2002

140 citations recorded by the source corpus.

Subfields: Agronomy and Crop Science, Ecology, Ecology, Evolution, Behavior and Systematics

View Paper: https://www.semanticscholar.org/paper/46b4201fd370d07fcddd87223eff17797f7fa08e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Agronomy and Crop Science

1. Frank Ewert
2. Evan D. G. Fraser
3. Andrew J. Challinor

In Ecology

1. Frank Ewert
2. Evan D. G. Fraser
3. Tim Wheeler
4. Stephen R. Arnold
5. Andrew J. Challinor
6. E. Simelton

In Ecology, Evolution, Behavior and Systematics

1. Andrew J. Challinor
2. Frank Ewert
3. E. Simelton
4. Evan D. G. Fraser
5. Stephen R. Arnold
6. Francisco J. Doblas-Reyes
7. Tim Wheeler
8. J. Slingo

Citations in the corpus

• The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and Pilot Studies (2013, unknown): “Researchers have shown that these yield gaps can be accounted for empirically by using crop model simulations, historical regional yields, and statistical methods (Jagtap and Jones, 2001, 2002; Irmak et al., 2005).”
• Probabilistic simulations of crop yield over western India using the DEMETER seasonal hindcast ensembles (2005, background): “Southworth et al., 2000; Jagtap and Jones, 2002 ), although in practice the distinction between these can be blurred because empirical regressions are often used to describe processes (e.g.”
• Simulation of soybean growth and yield in near-optimal growth conditions (2010, unknown): “b Setiyono et al. (2007). c Setiyono et al.”
• Crops and climate change: progress, trends, and challenges in simulating impacts and informing adaptation. (2009, methodology): “Calibration may also be applied to model output as a yield correction factor (Jagtap and Jones, 2002; Casellas et al., 2009).”