Using Principal Component Analysis to Assess Soil Chemical Properties in the Mwea Irrigation Scheme, Kenya: Implications for Rice Agronomic Management
| Author | Daniel M. Menge | |
| Author | Ruth N. Musila | |
| Author | Sammy Kagito | |
| Author | Lourine Bii | |
| Author | James Gichuki | |
| Author | Emily Gichuhi | |
| Author | Caroline A. Kundu | |
| Author | Rosemary Murori | |
| Author | Abdelbagi Ismail | |
| Author | Ajay Panchbhai | |
| Jurisdiction: | Kenya | |
| Date of acession | 2024-04-09T07:34:41Z | |
| Date of availability | 2024-04-09T07:34:41Z | |
| Date of issue | 2024-03-19 | |
| Abstract | Sub-Saharan Africa faces significant challenges as a net importer of rice, with self-sufficiency rates plummeting to as low as 14% in countries like Kenya. The Mwea irrigation scheme shoulders the bulk of rice cultivation, contributing over 80% of the country’s production. However, productivity within the scheme has seen a concerning decline, dropping from 5.6 ─ 6.0 t ha-1 to 1.3 ─ 4.6 t ha-1 between 1977 and 2018. This decline could be attributed to site-specific nutritional deficiencies and/or toxicities, rendering generalized agronomic recommendations ineffective in certain areas. To address this problem, our study aimed to assess soil chemical properties variability within the Mwea irrigation scheme, identify clusters with similar nutritional status, and tailor area-specific agronomic recommendations. During May to September 2020, we collected and analyzed four hundred samples from five sections of the scheme for total organic carbon, soil pH, macro and micronutrients, and exchangeable cations. Principal component analysis was conducted on the mean values of the soil chemical properties to identify significant contributors to variation and establish zones with similar patterns. Principal components 1 to 4 collectively explained 72.2% of the total variability. Cluster analysis revealed four distinct clusters, namely MW, TB, KT, and WU. Within cluster MW, soil pH was below the optimum range for rice cultivation, suggesting a need for liming. Potassium deficiency was observed across all clusters, with rice straw incorporation recommended as a long-term solution. Furthermore, zinc deficiency was noted in cluster WU, necessitating zinc fertilizer application. Conversely, iron toxicity was a concern in cluster MW, suggesting the adoption of alternating wetting and drying techniques and cultivating tolerant varieties. By proving tailored recommendations based on localized soil conditions, we aim to bolster rice productivity within the Mwea irrigation scheme and contribute to regional food security efforts. | |
| Citation | Menge, D. M., Musila, R. N., Kagito, S., Bii, L., Gichuki, J., Gichuhi, E., Kundu, C. A., Murori, R., Ismail, A., & Panchbhai, A. (2024). Using principal component analysis to assess soil chemical properties in the MWEA Irrigation Scheme, Kenya: Implications for rice agronomic management. International Journal of Plant & Soil Science, 36(5), 106–126. https://doi.org/10.9734/ijpss/2024/v36i54508 | |
| URL | https://hub.ifdc.org/handle/20.500.14297/3000 | |
| Language | en | |
| Publisher | Sciencedomain International | |
| Subject | Food security | |
| Subject | Rice | |
| Subject | Soil properties | |
| Title | Using Principal Component Analysis to Assess Soil Chemical Properties in the Mwea Irrigation Scheme, Kenya: Implications for Rice Agronomic Management | |
| Type | Article |