F. Mairura

Analysis of Communication and Dissemination Channels Influencing the Adoption of Integrated Soil Fertility Management in Western Kenya

Abstract Purpose: The following study was carried out to evaluate the socio-economic factors influencing access to Integrated Soil Fertility Management (ISFM) information and knowledge among farmers in western Kenya, and subsequent ISFM uptake with a view to assessing communication gaps. Design/Methodology/Approach: Structured questionnaires were administered to 120 farmers from Vihiga and Siaya districts. In Vihiga, farmers were sampled in a systematic random manner from farmer groups lists, whereas in Siaya, farmers were selected based on randomly selected diagnostic trial sites of the Africa Soil Information Service (AfSIS) project. Findings: Community-based and mass media channels were found to be significantly advantageous to farmers. Farmers’ preferred information sources and channels included own experiences, farmer field days and farmer groups, respectively. A probit regression model indicated that off-farm income, education level, distance from nearest information centre, livestock value, and district of residence were the socio-economic variables that significantly influenced farmer access to ISFM information and knowledge, and subsequent uptake. In conclusion, farmer field days and farmer groups should be promoted as vehicles for agricultural information communication and dissemination. Practical Implications: The study has practical implications for dissemination of agricultural technologies, especially in small-holder farming regions, characterized by high poverty and poor infrastructure. Originality/Value: The study is original because channels for communication and dissemination of ISFM technologies are poorly documented or non-existent in western Kenya, and in most small-holder farming systems in Africa. The adoption behaviour of ISFM technologies in relation to socio-economic factors by farmers is still poorly understood.

Rainfall Variability, Drought Characterization, and Efficacy of Rainfall Data Reconstruction: Case of Eastern Kenya

This study examined the extent of seasonal rainfall variability, drought occurrence, and the efficacy of interpolation techniques in eastern Kenya. Analyses of rainfall variability utilized rainfall anomaly index, coefficients of variance, and probability analyses. Spline, Kriging, and inverse distance weighting interpolation techniques were assessed using daily rainfall data and digital elevation model using ArcGIS. Validation of these interpolation methods was evaluated by comparing the modelled/generated rainfall values and the observed daily rainfall data using root mean square errors and mean absolute errors statistics. Results showed 90% chance of below cropping threshold rainfall (500 mm) exceeding 258.1 mm during short rains in Embu for one year return period. Rainfall variability was found to be high in seasonal amounts (CV = 0.56, 0.47, and 0.59) and in number of rainy days (CV = 0.88, 0.49, and 0.53) in Machang’a, Kiritiri, and Kindaruma, respectively. Monthly rainfall variability was found to be equally high during April and November (CV = 0.48, 0.49, and 0.76) with high probabilities (0.67) of droughts exceeding 15 days in Machang’a and Kindaruma. Dry-spell probabilities within growing months were high, (91%, 93%, 81%, and 60%) in Kiambere, Kindaruma, Machang’a, and Embu, respectively. Kriging interpolation method emerged as the most appropriate geostatistical interpolation technique suitable for spatial rainfall maps generation for the study region.

Using Apsim-Model as a decision-support-tool for long-term integrated-nitrogen-management and maize productivity under semi-arid conditions in Kenya

This study was part of a research conducted through funding from the Regional Universities Forum for Capacity Building in Agriculture (RUFORUM), Call ID RU/CGC/GRG/15/10/109.

Assessment of Professional Training Programmes in International Agricultural Research Institutions: The Case of ICRAF.

Abstract The following survey was undertaken in 2005 to assess the effectiveness of professional training activities in international agricultural research organizations that were undertaken between 1999 and 2002 at ICRAF (International Centre for Research in Agroforestry), now World Agroforestry Centre, Nairobi. Trainees were randomly selected from various professional fields in the agroforestry domain. Survey questionnaires and telephone interviews were adopted. Descriptive statistics, logit regression, cross-tabulations and bi-plot analysis were used to analyze the data. The Kirkpatricks training evaluation theory provided the methodological framework for the study. Male participants were more educated and had longer average professional experience than females. Trainees had good recollection and learning of various aspects of the training. There was high potential for skill transfer and practical implementation of training skills among all trainees, but lack of resources was a major limitation. Female workers faced more constraints during workplace implementation of skills than male workers. The study has practical implications for current and future design and evaluation of training in agricultural domains. The work also contributes to knowledge building in training evaluation within agricultural institutions in Africa, which is poorly documented or lacking in certain specific settings. The paper is original because scientific evaluation of training activities in agricultural practice in Africa is rarely or poorly documented, thus adding value to agricultural research.

Seasonal Rainfall Variability and Drought Characterization: Case of Eastern Arid Region, Kenya

Drier parts of Embu County, Eastern Kenya, endure persistent crop failure and declining agricultural productivity which have been attributed, in part, to prolonged dry-spells and erratic rainfall. Nonetheless, understanding spatial-temporal variability of rainfall especially at seasonal level, is an imperative facet to rain-fed agricultural productivity and natural resource management (NRM). This study evaluated the extent of seasonal rainfall variability and the drought characteristics as the first step of combating declining agricultural productivity in the region. Cumulative Departure Index (CDI), Rainfall Anomaly Index (RAI) and Coefficients-of-Variance (CV) and probabilistic statistics were utilized in the analyses of rainfall variability. Analyses showed 90 % chance of below cropping-threshold rainfall (500 mm) exceeding 213.5 mm (Machanga) and 258.1 mm (Embu) during SRs for one year return-period. Rainfall variability was found to be high in seasonal amounts (CV = 0.56 and 0.38) and in number of rainy-days (CV = 0.88 and 0.27) at Machang’a and Embu, respectively. Monthly rainfall variability was found to be equally high even during April (peak) and November (CV = 0.42 and 0.48 and 0.76 and 0.43) with high probabilities (0.40 and 0.67) of droughts exceeding 15 days in Embu and Machang’a, respectively. Dry-spell probabilities within growing months were high (81 %) and (60 %) in Machang’a and Embu respectively. To optimize yield in the area, use of soil-water conservation and supplementary irrigation, crop selection and timely accurate rainfall forecasting should be prioritized.