The study examined the adoption determinants of adapted climate smart agriculture (CSA) technologies among smallholder farmers. A multi-stage sampling procedure was used to select a total sample of 384 households. Percentages and regression were employed in data analysis. The results revealed that 47.4% adapted to climate change using integrated farming system, intercropping, crop rotation and agroforestry. Sex (0.9%), education level (9.2%) significantly influenced adoption of the adaptation strategies. Moreover, information sources such as mobile phones (0.9%), and neighbors/friends (0.2%) negatively affected the adaptation strategies. Future policy should aim at creating more awareness through different information sources and provide local extension services. Keywords: Adaptation, smallholder farmers

Chickpea is a major source of proteins especially in arid and semi-arid areas of Kenya. However, its average yield per hectare is low when compared to neighbouring countries. This research was carried out to determine the levels of hybrid vigour on yield in the F1 generation. To obtain the F1s, reciprocal crossing between Mwanza 2 and Chaina I was carried out with controls being the parental lines. The experimental layout was a randomized block design replicated thrice for three seasons. A spacing of 50x20cm was used in plants, while all other agronomic practices were maintained constant. Data on grain yield and biomass per plant was obtained by measuring the weight, then subjecting it to a one-way ANOVA in SAS 9.4 software. Mwanza 2 expressed the highest biomass (2.56g), while both parents attained a maximum grain yield of 1.69g per plant. Chaina I x Mwanza 2 hybrid expressed maximum means of F1s for biomass (2.31g) and grain yield (1.4g) per plant. Chaina I x Mwanza 2 hybrid recorded the highest biomass and grain yield in better parent heterosis with 14.36% and 330% respectively. Mid-parent heterosis means were also highest at 24.53% and 405.88% for biomass and grain yield respectively. Further, the heritability was maximum for biomass under Mwanza 2 x Chaina I, varying from 93.1% to 100%, while Chaina I x Mwanza 2, expressed maximum grain yield and harvest index. Better parent heterosis and mid-parent heterosis was highest in Chaina I x Mwanza 2 than its reciprocal, Mwanza 2 x Chaina I.

Chickpea is a major legume grown in Kenya. The agronomic performance, nodulation ability and grain crude protein are not fully exploited. Field experiments were conducted at Embu, Kenya to determine the effect of plant spacing and N-fertilizer rates on nodulation and protein content of selected chickpea varieties. A split-split plot design was used and replicated three times. Treatments consisted of main factor, variety in four levels (Saina K, Mwanza 2, Chania I, Chania III), sub factor, spacing in three levels (S 1 : 50 x 10; S 2 : 50 x 20; S 3 : 50 x 30 cm), and sub-sub factor, nitrogen fertilizer rates in four levels of (0; 30; 60; 90 kg ha -1 ). Data on nodulation and CP was subjected to GLM. Spacing and N-fertilizer rates significantly affected nodule numbers, fresh weight and their sizes. Mwanza 2 x 50x10 cm x N 30 posted highest nodule numbers while Chania III had highest protein content. Interactions of VS, VN, SN and VSN had no consistent pattern under nodule factors but were highly significant in percent CP. Hence, optimal interactive effects of VSN can improve nodulation factors and CP of chickpea. The information will help growers make informed decisions, and researchers in developing improved varieties.

The study examined the effect of extension-market linkages on banana commercialisation among smallholder farmers in the Meru region, Kenya. The study sampled 400 farmers from a target population of 288,802 from the Meru region. The Tobit model was used to analyse the effect of extension-market linkages on banana commercialisation. The results revealed that sources of marketing information (Coef. -0.06) had a negative influence on farmers commercialising banana production. The result showed that the reliability of local extension service providers in enabling farmer’s access to market information (Coef. 0.04) had a positive influence on farmers commercialising banana production. The findings also showed that users of marketing information in the commercialisation banana business (Coef. 0.63) had a positive influence on farmers commercialising banana production. The study concludes that there was an association between extension marketing linkages and banana commercialization among smallholder farmers in Meru region, Kenya. Government should create and implement more policies that will favour and encourage farmers to commercialise bananas. This will help farmers increase their income.

PurposeThe purpose of this paper is to investigate the effect of on-farm testing on the adoption of banana production technologies among smallholder farmers in the Meru region, Kenya.Design/methodology/approachThe study adopted a pragmatic paradigm and a cross-sectional survey design, sampling 370 and 30 farmers proportionately from 269,499 to 19,303 smallholder banana farmers in Meru and Tharaka-Nithi Counties of Kenya, respectively.FindingsThe study revealed that there was an association between belonging to a banana farming testing group and the adoption of banana technology. The study also revealed that most farmers were not interested in adopting banana technologies as they preferred the use of conventional methods, due to unstable market prices, lack of subsidized banana production input, inaccessibility to technological materials, few extension experts and lack of enough demonstrations.Research limitations/implicationsSome respondents were not willing to freely offer the information required for this study. This was delimited by assuring the informants of the confidentiality of their responses.Originality/valueThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The agricultural extension service providers will have more light on the underlying issues that need to be considered if meaningful interventions are to be done on various aspects of the banana value chain.