Articles | Volume 18, issue 22
https://doi.org/10.5194/gmd-18-8801-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-8801-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
20 Nov 2025
Development and technical paper |
| 20 Nov 2025
| 20 Nov 2025
Developing an eco-physiological process-based model of soybean growth and yield (MATCRO-Soy v.1): model calibration and evaluation
Astrid Yusara
Graduate School of Agriculture, Hokkaido University, Sapporo, Hokkaido, Japan
Center for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
Research Faculty of Agriculture, Hokkaido University, Sapporo, Hokkaido, Japan
Elizabeth A. Ainsworth
Departments of Crop Sciences and Plant Biology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
Rafael Battisti
Escola de Agronomia, Universidade Federal de Goiás, Goiânia, Brazil
Etsushi Kumagai
Institute for Agro-Environmental Sciences, NARO, Tsukuba, Ibaraki, Japan
Satoshi Nakano
Central Region Agricultural Research Center, NARO, Tsukuba, Ibaraki, Japan
Yushan Wu
College of Agronomy, Sichuan Agricultural University, Chengdu, PR China
Yutaka Tsutsumi-Morita
Center for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
Kazuhiko Kobayashi
Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan
Yuji Masutomi
Center for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
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Short summary
We developed a soybean model, an ecosystem model for crop yield (namely MATCRO-Soy), integrating crop response toward climate variables. It offers a detailed yield estimation. Parameter tuning in the model used literature and field experiments. The model shows a moderate correlation with observed yields at the global, national, and grid-cell levels. Development of this model enhances crop modeling diversity approaches, particularly in climate change impact studies.
We developed a soybean model, an ecosystem model for crop yield (namely MATCRO-Soy), integrating...
