Modeling integrated soil fertility management for maize production in Kenya using a Bayesian calibration of the DayCent model

Laub, Moritz; Necpalova, Magdalena; Van de Broek, Marijn; Corbeels, Marc; Ndungu, Samuel Mathu; Mucheru-Muna, Monicah Wanjiku; Mugendi, Daniel; Yegon, Rebecca; Waswa, Wycliffe; Vanlauwe, Bernard; Six, Johan

doi:https://doi.org/10.5194/bg-21-3691-2024

Articles | Volume 21, issue 16

https://doi.org/10.5194/bg-21-3691-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-21-3691-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 16

Research article

|

22 Aug 2024

Research article |

| 22 Aug 2024

Modeling integrated soil fertility management for maize production in Kenya using a Bayesian calibration of the DayCent model

Moritz Laub, Magdalena Necpalova, Marijn Van de Broek, Marc Corbeels, Samuel Mathu Ndungu, Monicah Wanjiku Mucheru-Muna, Daniel Mugendi, Rebecca Yegon, Wycliffe Waswa, Bernard Vanlauwe, and Johan Six

Supplement

https://doi.org/10.5194/bg-21-3691-2024-supplement

Data sets

ISFM/SOM long-term trials soil data Bernard Vanlauwe et al. https://doi.org/10.25502/wdh5-6c13/d

ISFM/SOM long-term trials maize data Bernard Vanlauwe et al. https://doi.org/10.25502/be9y-xh75/d

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Short summary

We used the DayCent model to assess the potential impact of integrated soil fertility management (ISFM) on maize production, soil fertility, and greenhouse gas emission in Kenya. After adjustments, DayCent represented measured mean yields and soil carbon stock changes well and N₂O emissions acceptably. Our results showed that soil fertility losses could be reduced but not completely eliminated with ISFM and that, while N₂O emissions increased with ISFM, emissions per kilogram yield decreased.