ABSTRACT
The Farmer Field School (FFS) approach has been tried widely and has created positive impact on crop and soil productivity in many Asian and African countries. Kenya Agricultural Research Institute (KARI) introduced FFS approach in the year 2001 as an alternative to conventional approach to promote dissemination of Soil and Crop Management Technologies (S&CMTs). The purpose of this study was to determine the impact of Crop Management technologies (CMTs) disseminated through Farmer Field Schools (FFSs) on maize productivity among the smallholder farmers in North Rift, Kenya. Eight technologies were scaled-out using the approach and the conventional extension methods. A survey methodology with an Ex-post facto research design was used with a sampling frame consisting of 6,560 small-scale farmers. A sample of 180 FFS and 180 Non-FFS farmers was chosen for the study, using proportionate stratified random sampling. Data was collected through interview schedules administered to FFS and Non FFS farmers. Descriptive statistics was used to compute percentages, means and standard deviations. One way ANOVA was used in the study. The results of ANOVA indicated a statistically significant difference between the means of the groups (F=94.320, df =2, p=0.000). Therefore, the null hypothesis four was rejected. It was concluded that there was a statistically significant difference in the means of the two groups. By subjecting the results to further post hoc multiple comparison analysis, the results indicate that there was a statistically significant difference in the means of the FFS participants before and after FFS participation (p=0.000) and also between the Non FFS participants and the Participants after FFS training (p=0.000). The main recommendation from this study was therefore, the need to scale-up and scaling out the S&CMTs using the FFS approach in counties in the North Rift region of Kenya.

ABSTRACT
This paper aims to evaluate the levels of dairy production (in terms of average monthly milk levels) of adopters and non-adopters of climate smart agricultural technologies in Aldai sub-county, Nandi County of Kenya. We identify three important facts. First, there seems to be a positive growth in milk production amongst EADD project farmers. This increase can be attributed to differences in animal husbandry practices promoted by EADD project. These animal husbandry practices include training in animal health, fodder conservation, feed formulation, water storage and conservation and growing of drought resistant crops. A second important result is the slight reduction in milk production between 2011 and 2012 seasons which we suspect might be attributed to the effect of drought which impacted feed production the whole country. A final fact is that both adopters and non-adopters witnessed an increase in milk production levels, we show that non-adopters had about 25 percent rice in milk production compared to adopters who observed about 23 percent rise in milk production levels. We also undertook a marketing margin analysis using administrative data obtained from a local farmer organization. Here, our results indicate that total milk supplied to a local cooperative society was steady over time. The supply was highest in 2013. On average, monthly value of milk supplied was Kenya Shillings (KES) 5,293 in 2011- two years after the launch of EADD project. The amount of milk supplied increased by about 4.2 percent between 2011 and 2012 period. The small increase in the value of milk can be attributed to drought which negatively impacted feeds production in Nandi County. However, we observe a higher increase in revenue between 2012 and 2013 of about KES 639.51 (or 11.60 percent). In terms of milk production, we estimate that an average dairy farmer in Nandi County supply about 182.50 litres of milk to the cooperative society in 2011. This level of milk supply increased to 190.