Evaluation and application of the CROPGRO-soybean model for determining optimum sowing windows of soybean in the Nigeria savannas

Bebeley, J F and Kamara, A Y and Jibrin, J M and Akinseye, F M and Tofa, A I and Adam, A M and Kamai, N and Solomon, R (2022) Evaluation and application of the CROPGRO-soybean model for determining optimum sowing windows of soybean in the Nigeria savannas. Scientific Reports (TSI), 12. pp. 1-15. ISSN 2045-2322

[img] PDF - Published Version
Available under License ["licenses_description_cc_attribution" not defined].

Download (1MB)


Soybean production is limited by poor soil fertility and unstable rainfall due to climate variability in the Nigeria savannas. There is a decline in the amount and duration of rainfall as one moves from the south to north of the savanna zones. The use of adapted soybean varieties and optimum sowing windows are avenues to increase productivity in the face of climate variability. Crop simulation models can be used as tools for the evaluation of alternative management options for a particular location, including fertilizer application rates, plant density, sowing dates and land use. In this study, we evaluated the performance of the Cropping System Model (CSM)-CROPGRO-Soybean to determine optimum sowing windows for three contrasting soybean varieties (TGX1835-10E, TGX1904-6F and TGX1951-3F) cultivated in the Nigeria savannas. The model was calibrated using data from ten field experiments conducted under optimal conditions at two sites (BUK and Dambatta) in Kano in the Sudan savanna (SS) agro-ecology over four growing seasons. Data for model evaluation were obtained from independent experiment for phosphorus (P) response trials conducted under rainfed conditions in two locations (Zaria and Doguwa) in the northern Guinea savanna (NGS) zone. The model calibration and evaluation results indicated good agreement between the simulated and observed values for the measured parameters. This suggests that the CROPGRO-Soybean model was able to accurately predict the performance of soybean in the Nigeria savannas. Results from long-term seasonal analysis showed significant differences among the agro-ecologies, sowing windows and the soybean varieties for grain yield. Higher yields are simulated among the soybean varieties in Zaria in the NGS than in Kano the SS and Jagiri in the southern Guinea savanna (SGS) agro-ecological zones. Sowing from June 1 to July 5 produced optimal yield of TGX1951-3F and TGX1835-10E beyond which yield declined in Kano. In Zaria and Jagiri the simulated results show that, sowing from June 1 to July 12 are appropriate for all the varieties. The variety TGX1951-3F performed better than TGX1904-6F and TGX1835-10E in all the agro-ecologies. The TGX1951-3F is, therefore, recommended for optimum grain yield in the savannas of northern Nigeria. However, the late maturing variety TGX1904-6F is not recommended for the SS due to the short growing season in this zone.

Item Type: Article
Divisions: Research Program : West & Central Africa
Uncontrolled Keywords: Environmental sciences, Plant sciences
Subjects: Others > Crop Modelling
Depositing User: Mr Nagaraju T
Date Deposited: 16 Apr 2024 10:25
Last Modified: 16 Apr 2024 10:25
URI: http://oar.icrisat.org/id/eprint/12627
Official URL: https://www.nature.com/articles/s41598-022-10505-4
Projects: Putting Nitrogen Fixation into Use for Smallholder farmers in Africa
Funders: Bill and Melinda Gates Foundation
Acknowledgement: We wish to thank the Centre for Dryland Agriculture, Bayero University Kano for their partial support to undertake the field work. We also thank the staff of Agronomy unit of International Institute of Tropical Agriculture (IITA), Kano office for trial establishment, management and data collection.
    View Statistics

    Actions (login required)

    View Item View Item