Replication Data for: Marando Bora Project Baseline Survey

The Marando Bora (MB) project was implemented by the International Potato Center (CIP) in collaboration with 12 other partners in the Lake Zone region, Tanzania from October 2009 to June 2012. The project’s aim was to improve the quantity and quality of food for 150,000 Tanzanian households in the Lake Zone region by strengthening the availability and accessibility of quality planting material of improved and local sweetpotato varieties. The specific objectives of the MB project were to provide: i) high yielding and consumer preferred sweetpotato varieties; ii) orange-fleshed sweetpotato (OSFP) varieties with adequate supplies of beta-carotene to tackle Vitamin A deficiency (VAD) problem; iii) disease free planting materials for increased root and vine production; iv) timely access to vines for early planting; v) training for decentralized vines multipliers (DVMs) and farmers about vines conservation and maintenance of vine quality; vi) communication products to enhance awareness about benefits of using disease-free vines, benefits of OFSP varieties, and sources of quality sweetpotato vines. The MB project’s theory of change (TOC) was to improve food and nutrition security and enhance farmers’ incomes by implementing several activities including production and distribution of clean planting materials; training farmers’ about vines conservation; training of farmer multipliers and provision of improved white and orange fleshed SP varieties among others.
The Marando Bora Baseline survey objective was to address the main problems associated with sweetpotato vine availability and distribution by developing a sustainable seed system for sweetpotato. It used voucher and mass distribution strategies to address these problems. Using decentralized vine multipliers in the communities and mass distribution, the project ensured timely access to planting vines at the beginning of the rainy season.

Replication Data for: Marando Bora Decentralised Vine Multiplier Study (Tanzania)

The implementation of the large- scale planting material dissemination component, “Marando Bora” (better vines) aimed to develop and test cost effective sweetpotato variety distribution models at scale. Marando Bora had a target of reaching 150,000 farmers with quality planting material of existing local and improved varieties which will contribute to strengthened food security. The survey of decentralised vine multipliers (DVMs) was conducted as part of the Marando Bora project end line survey. The objectives of the DVM module were to: determine use of different technologies which had been promoted by the project; obtain feedback on varieties preferred by the DVMs and their clients; and feedback on participation in the pilot Quality Declared Planting Material (QDPM) inspection scheme. Finally, we sought to understand what vine multiplication activities the DVMs were continuing after the end of the project, and their reasons for continuing or not continuing vine multiplication. Key variables include: DVM location, type (individual, group), current multiplication practice, technologies (irrigation, rapid multiplication techniques, fertiliser), experience with seed inspection. All 89 DVMs were interviewed by one data collector, February-March 2013. Data was entered in MS Excel.

An on-Farm Performance Assessment of Aquaculture Production Systems in Nigeria

The survey was implemented to assess on-farm performance of
aquaculture fish production systems in Nigeria. The primary
sampling unit was aquaculture farming households/farms. The
survey comprised the following modules: (1) farmer
characteristics; (2) aquaculture production and marketing
activities including input use and cost as well as output harvested
and sold; (3) Aquaculture experience, change and livelihoods; (4)
aquaculture credit and association; (5) food safety and
willingness to participate in aquaculture certification; Data on
aquaculture production were collected at farm level. The survey
captured detailed data about all types of systems and practices
allowing for a characterization of farming systems