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

MLA

Laub, Moritz, et al. “Modeling Integrated Soil Fertility Management for Maize Production in Kenya Using a Bayesian Calibration of the DayCent Model.” Biogeosciences, vol. 21, no. 16, Aug. 2024, pp. 3691–716. EBSCOhost, https://doi.org/10.5194/bg-21-3691-2024.

APA

Laub, M., Necpalova, M., Van, de B. M., Corbeels, M., Ndungu, S. M., Mucheru-Muna, M. W., Mugendi, D., Yegon, R., Waswa, W., Vanlauwe, B., & Six, J. (2024). Modeling integrated soil fertility management for maize production in Kenya using a Bayesian calibration of the DayCent model. Biogeosciences, 21(16), 3691–3716. https://doi.org/10.5194/bg-21-3691-2024

Chicago

Laub, Moritz, Magdalena Necpalova, de Broek, Marijn Van, Marc Corbeels, Samuel Mathu Ndungu, Monicah Wanjiku Mucheru-Muna, Daniel Mugendi, et al. 2024. “Modeling Integrated Soil Fertility Management for Maize Production in Kenya Using a Bayesian Calibration of the DayCent Model.” Biogeosciences 21 (16): 3691–3716. doi:10.5194/bg-21-3691-2024.