The objective of this paper is twofold. First, using a three rounds panel data of 7110 households, was investigate the adoption decisions and the complementarities among the four labor-intensive technologies (agricultural extension service, irrigation, soil conservation and planting seeds in a row) and a comprehensive use of four modern inputs (improved seed variates, inorganic fertilizer, pesticides, organic fertilizer) which have been frequently adopted by smallholder farmers.
This document has as objectives characterizing the promising technological innovations developed for rice, soybean, small ruminant and poultry sectors.
The current study sought to analyse the livelihood impact of innovation platforms on small holders in the study areas based on the previous studies that identified successful Innovation Platforms in Eastern and Western Kenya. The study concentrated on four successful innovation platforms that were identified in a previous study In that study, fifteen innovation platforms were ranked based on a given criterion out of which the four innovation platforms were purposively chosen.
This document ains to update the inventory of existing functional promising agricultural innovations in Nigeria. The salient results from this study are as follows: 116 technologies were identified nationally during the review period (2006-2014). The strongest or most frequent triggers of innovation include yield improvement, resistance to pests and diseases, wide ecological adaptation, high quality cassava flour, HQCF, shorter time to maturity, drought resistance, seed or grain colour, malting quality and grain weight or size.
The overall objective of this research was to undertake a rapid milk value chain analysis toward identifying innovation opportunitiesto boost the milk production in Rwanda. The identified opportunities include boosting milk production through improved cattle breeds and animal nutrition, introduction of small and medium scale processors, development of business hub models around MCCs, consumer sensitization and school programs to boost milk demand
The present study was commissioned to carry out an update of the “Integrated Agricultural Research for Development (IAR4D)” with a view to evaluating the quantitative and qualitative impact of the several outcomes on stakeholders in the The sub-Saharan Africa Challenge Program (SSA CP). The present study is also to validate the hypotheses that the IAR4D (i) works (ii) delivers more benefits than the conventional R&D method and (iii) can be scaled out and up beyond the current area of operation.
The objective of this study was to analyse the economic and environmental impacts of the adoption of climate change adaptation strategies on farm management in Benin. The data were collected from 371 producers. Descriptive statistics, pie charts and histograms were used to represent and characterise the different adaptation strategies depending on the climatic risks experienced on the farms surveyed. The flora analysis tool EX-ACT developed by FAO allowed to evaluate greenhouse gas at farm level depending on the adaptation strategies used.
This study was set out to describe the operation of the agricultural multi-stakeholder platforms and assess the impact of their activities on the production and revenue of the different beneficiaries. The required data was collected from 285 stakeholders using structured questionnaires. The econometric approach based on the Local Average Treatment effect (LATE) was used to identify the impact of the participation in the MSP activities on the revenue and yield of the producers
This study aims at exploring scaling up factors that determine the successful up scaling or otherwise of agriculture innovations in Ghana. This is done through a case study approach by analysing selected agricultural innovations to determine the strategies used to scale up as well as factors that account for successes or failures of the scaling up.
The study was conducted in Kirinyaga County on rice and bananas and in Kisumu County on rice. Was used qualitative and quantitative methods and interviewed 247 farmers comprising 182 rice and 60 banana farmers respectively. Ten key informant interviews were conducted in Ahero and nine in Mwea Rice Schemes and the surrounding areas. One focus group discussion was held with Mwea Jua Kali/Valley bottom farmers. The data were analysed using descriptive statistics, frequency analysis and cross tabulations.