The scourge of poverty, including its correlates, has been witnessing an incremental sequence over the years in Nigeria despite the natural endowment of the country. Efforts by various stakeholders to address this problem have not yielded tangible results. Using cross-sectional data collected in 2015 on 775 cassava farmers spread across four geographical zones, this study estimates multidimensional poverty of cassava producers in Nigeria. This is to determine the factors responsible for poverty increase and contribution(s) of these factors to poverty. The study found that about 74% of the respondents were multidimensionally poor. Assets and public/housing utility were the main contributors to aggregate multidimensional poverty index (MPI), while education and health contributed most to povertyreduction. The results also showed major contributing indicators to MPI to be formal employment, school enrolment, years of schooling, frequency of hospital visits, and household assets’ ownership. The South-eastzone of Nigeria had the highest adjusted headcount of poverty among cassava producers. The estimated coefficient of age, farming experience, years of schooling, household size, and access to informal credit were significant determinants of poverty in the study area. In conclusion, the results suggest that although Nigeria is a federation of more than 30 states that continue to rely on nation-wide policy initiatives of the central government, policies on cassava aiming to lift millions of people out of poverty should instead vary according to the peculiar poverty dimensions of each federation unit. We suggest reform in the agriculture sector that will emphasize facilitation and access to incentives (credits, training, extension, cooperate system, etc.) by younger farmers to engage in modern cassava farming, thereby, enhancing the chances of rural cassava growers to move out of poverty.
Evidence from community cassava processors on product quality traits that influence variety adoption was combined with laboratory methods to identify potential predictors of quality traits of new varieties. The study revealed that high product yield, high starch content, high solubility index (SI), high peak viscosity (PV), low setback viscosity, and delayed root color change (delayed postharvest physiological deterioration) are possible laboratory indicators that could be used as proxies for predicting product quality and variety adoption decisions of cassava processors. Fufu exhibited higher swelling power, SI, and PV than gari from the same varieties. Processors preferred quality characteristics are difficult to measure for several hundreds of new germplasms in the early stages of the breeding cycle. The information presented may be helpful during the breeding of new, improved varieties by using the physical and chemical properties of the roots that predict processors' preferred quality traits.
Despite continued progress in the development and promotion of improved agricultural technologies, and the gradual process in agricultural research for development (R4D) programmes, adoption rates are relatively low in most parts of sub-Saharan Africa (SSA). Recommendations have, therefore, been made by national and international research institutions and stakeholders for more involvement of the smallholders in evaluating promising agricultural technologies. This study assessed the impact of the participatory research demonstration on the adoption of the technologies promoted by the sub-Saharan Africa Challenge Programme (SSA CP) using the innovation platform (IP) concept. Results showed that 67 and 59% of the IP and non-IP farmers, respectively, reported that researchers and extension personnel decided on the technologies for research or demonstration. Fifty-two and 43% of the IP and non-IP farmers, respectively, perceived research and demonstration to be very useful. The type of technology or demonstration that farmers mostly participated in was crop variety (IP farmers=72.87%; non-IP farmers=70.19%). Following our analyses which are based on the Instrumental Variable (IV) approach, participation in research and demonstrations significantly increased adoption of the demonstrated technologies by 99%. We observed a 100% significant increase in adoption of the demonstrated technologies in the sample of IP participants. The main factors that determined the adoption of the demonstrated technologies included membership to farmer group, and distances to input and output markets.
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