This blog page explain the key factors for growing potatoes, such as soil, temperature, watering and best locations.
The Sourcebook is the outcome of joint planning, continued interest in gender and agriculture, and concerted efforts by the World Bank, FAO, and IFAD. The purpose of the Sourcebook is to act as a guide for practitioners and technical staff inaddressing gender issues and integrating gender-responsive actions in the design and implementation of agricultural projects and programs. It speaks not with gender specialists on how to improve their skills but rather reaches out to technical experts to guide them in thinking through how to integrate gender dimensions into their operations.
This paper draws lessons from selected country experiences of adaptation and innovation in pursuit of food security goals.
African agriculture is currently at a crossroads, at which persistent food shortages are compounded by threats from climate change. But, as this book argues, Africa can feed itself in a generation and help contribute to global food security. To achieve this Africa has to define agriculture as a force in economic growth by: advancing scientific and technological research; investing in infrastructure; fostering higher technical training; and creating regional markets.
This report provides a synthesis of all findings and information generated through a “stocktaking” process that involved a desk study of Prolinnova documents and evaluation reports, a questionnaire to 40 staff members of international organizations in agricultural research and development (ARD), self-assessment by the Country Platforms (CPs) and backstopping visits to five CPs. In 2014, the Prolinnova network saw a need to re-strategise in a changing context, and started this process by reviewing the activities it had undertaken and assessing its own functioning.
This report describes the 2012 NAIS Assessment was piloted in 4 countries: Botswana, Ghana, Kenya and Zambia. Data were collected through a survey questionnaire, open-ended interview questions, and data mining of secondary sources. A team led by a national coordinator took charge of data collection from various partner organizations in each country.
The purposes of this course are to review the major reforms being considered internationally that aim to change the policy and institutional structure and operations of public sector agricultural extension systems, and to examine the advantages and disadvantages of each of these reforms as illustrated by the selected case studies. Aside from the introductory chapter, the course is organized into nine modules, which are conceived as part of a larger framework.
Cette publication offre de nombreux exemples concrets détaillant différentes manières de réengager les jeunes dans le secteur agricole. Elle montre à quel point des programmes éducationnels sur mesure peuvent offrir aux jeunes les compétences et la perspicacité nécessaires pour se lancer en agriculture et adopter des méthodes de production respectueuses de l’environnement. Beaucoup des approches ou des initiatives décrites dans cette publication sont issues des jeunes eux-mêmes.
The report introduces 30 young innovators, 21 featured with full stories, and nine other "innovators to watch". They come from countries including Barbados, Botswana, Cameroon, Côte d'Ivoire, Kenya, Nigeria, Uganda, Jamaica, Senegal, Tanzania. The publication presents a multidimensional picture of the emerging field of ICT entrepreneurship in agriculture in developing countries. It describes challenges but also successes already achieved. It contains advice for aspiring agtech entrepreneurs as well as recommendations from youth on how to support their ventures.
The objective of the study was to identify a viable trade-off between low data requirements and useful household-specific prioritizations of advisory messages. At three sites in Ethiopia, Kenya, and Tanzania independently, we collected experimental preference rankings from smallholder farmers for receiving information about different agricultural and livelihood practices. At each site, was identified socio-economic household variables that improved model-based predictions of individual farmers’ information preferences.