This report make an study on the scaling up of agricultural innovations in Nigeria. The study has adopted different methods, concluding that the scaling up requires a multi-stakeholder approach among national governments, donor agencies, NGOs, the private sector, research institutions, and extension workers among others. In order to scaling the innovations to the end users, it is needed the combination of approaches outlined in this report

This report aims to amalyse the situational analysis of Agricultural Innovation in Nigeria. Specifically, the situation analysis entailed: (i) an inventory of existing functional and promising agricultural innovations;(ii) a scoping study of existing agricultural innovation platforms in the country;(iii) an assessment of the state of national investment in agricultural innovation system in the country

This study focused on analysing the determinants of farmer participation in direct marketing channels using the case of the cassava sector in the Oyo State of Nigeria. The Bivariate Tobit model was applied in the empirical analysis, based on a primary dataset generated from 400 rural cassava farmers from the Oyo State of Nigeria. The main objective of this study was to analyse the effects of the determinants of farmer decision to either participate in the processor or middlemen marketing channels in the Oyo State of Nigeria.

The main goal of the study is to quantify the effects of a) change in nitrogen fertilization rate, b) adjustment of sowing date, c) implementation of new cultivars, and d) supplementary irrigation on maize cropping systems across six African countries including Ghana, Nigeria, Kenya, Malawi, Ethiopia and Burkina Faso. For this purpose, 30 years (1980-2010) of climate data are used as well as soil and management information obtained from global datasets at 0.5° x 0.5° spatial resolution.

The aim of the paper is to evaluate the impact of value-webs as an innovation in agricultural production on welfare of cassava smallholders in Nigeria. The estimation procedure involved the alternative process of multivalued treatment models when treatment units have multiple values. The study thus extends previous impact studies which focused on estimating causal effects from binary treatment units. The treatment units were determined from the extent of utilization of cassava which informed the classification of households into value-web groups.

The study analyzed the value chain of natural rubber in Nigeria. The study specifically mapped the natural rubber value chain and identify the functions performed by the respondents in the chain; identified the existing marketing channels and estimated the marketing margin at each value addition point. Data for the study were collected using a well-structured questionnaire administered to 425 respondents selected using a two–stage sampling process involving random and purposive sampling techniques

This brief summarizes a report on the first large survey of maize traders in Nigeria in the past several decades. The sample of about 1400 traders covered one state in the South and four in the North, with traders in city wholesale markets in the North (Jos, Kaduna, Kano, Katsina) and South (Ibadan) and regional markets in secondary cities in the North.

This study presents the results from a meso-inventory conducted in Kebbi State, Northern Nigeria between March and July 2018. Was explored the extent to which the farmed-fish value chain is transforming structurally and the roles of capture fishing versus farmed fish. Kebbi is one of Nigeria’s leading states for fish production. Though largely Sudan Savanna (in the north) and Northern Guinea savanna (in the south), and thus semi-arid tropics, there is still a lot of water and a lot of fish.

In this paper, was analyzed farmers' preferences for high-input maize production supported by site-specific nutrient management recommendations provided by an ICT-based extension tool that is being developed for extension services in the maize belt of Nigeria. Was used a choice experiment to provide ex-ante insights on the adoption potentials of site-specific extension services from the perspective of farmers. We control for attribute non-attendance and account for class as well as scale heterogeneity in preferences using different models, and find robust results.

Globally, the role of extension agents in scaling up the utilization of Climate Smart Agricultural Initiatives (CSAI) by farmers remains very crucial. This study examined the determinants of the involvement of extension agents in the dissemination of CSAI to farmers. A two-staged random sampling technique was used to elicit information from 277 extension agents in South West Nigeria using a structured questionnaire. Data were analysed using frequency counts, percentage and linear regression analysis