Biogeosciences
Biogeosciences
BG
Articles | Volume 21, issue 16
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

Viewed

Total article views: 2,493 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,949 466 78 2,493 73 67 85
  • HTML: 1,949
  • PDF: 466
  • XML: 78
  • Total: 2,493
  • Supplement: 73
  • BibTeX: 67
  • EndNote: 85
Views and downloads (calculated since 21 Aug 2023)
Cumulative views and downloads (calculated since 21 Aug 2023)

Viewed (geographical distribution)

Total article views: 2,493 (including HTML, PDF, and XML) Thereof 2,483 with geography defined and 10 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Nov 2025
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint