10 citations as recorded by crossref.

1. The potential to increase maize yields and mitigate climate change by adopting integrated soil fertility management across different regions in Kenya — A simulation study M. Laub et al. https://doi.org/10.1016/j.agsy.2025.104477
2. A Bayesian framework for crop model calibration: A case study in the US Corn Belt M. Ziliani et al. https://doi.org/10.1016/j.eja.2025.127650
3. Climate, soil and management factors drive the quantitative relationships between soil fertility and spring maize water productivity in northern China J. Shi et al. https://doi.org/10.1016/j.agwat.2025.109599
4. Modeling soil organic carbon stocks and changes in agricultural cropping systems using a decision support tool and process-based model E. Lucas et al. https://doi.org/10.1016/j.jenvman.2026.130171
5. Simulating soil carbon sequestration, yield, and N2O fluxes with DayCent under long-term no-till and cover crop-based cotton cropping system J. Dhaliwal et al. https://doi.org/10.1016/j.agee.2025.109926
6. Key drivers and relationships between spring maize water use efficiency and soil fertility in northern China under future climate scenarios J. Shi et al. https://doi.org/10.1016/j.agsy.2026.104765
7. Linking soil health and fertility with sustainable crop production in Sub-Saharan Africa for improving food security and resilience D. Arije et al. https://doi.org/10.1080/21683565.2026.2703210
8. A novel approach to use the DayCent model for simulating agroforestry systems with multiple components M. Laub et al. https://doi.org/10.1007/s10457-024-01127-y
9. Evaluating DayCent and STICS in simulating the long-term impact of contrasting organic resource amendments on soil organic carbon and maize yields in sub-Saharan Africa A. Couëdel et al. https://doi.org/10.1016/j.fcr.2025.110169
10. From big data to mechanistic insights: decoding plant complexity with models J. Politsch et al. https://doi.org/10.1016/j.copbio.2025.103428