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his book highlights the important links between agriculture and nutrition, both direct and indirect, both theoretical and practical. It explores these relationships through various frameworks, such as value chains, programmes and policies, as well as through diverse perspectives, such as gender. It assesses the impacts of various agricultural interventions and policies on nutrition and profiles the up-and-down journeys of countries such as Bangladesh, China, Ethiopia, India, and Malawi in integrating nutrition into agricultural policies and programmes. It highlights successes such as biofortification, the integration of behaviour change communication and gender equality into existing agricultural interventions, and agriculture's role in improving household access to nutritious foods and diet diversity. It analyses challenges such as climate and environmental change, undernutrition, and obesity. And it ponders big questions, such as how to build capacity, engage with the private sector, participate in the big data revolution, and foster strong governance and leadership throughout agriculture and nutrition.
agricultural policy --- agricultural sector --- biofortification --- climate change --- constraints --- development programmes --- diet --- food access --- gender relations --- governance --- nutrition --- nutrition policy --- nutrition programmes --- obesity --- undernutrition --- value chain --- private sector --- Abyssinia --- climatic change --- development programs --- fatness --- feeding programmes --- feeding programs --- nutrition programs --- Nyasaland --- People's Republic of China --- subsaharan Africa --- Bangladesh --- China --- Ethiopia --- India --- Malawi --- Commonwealth of Nations --- Least Developed Countries --- Developing Countries --- South Asia --- Asia --- APEC countries --- East Asia --- ACP Countries --- East Africa --- Africa South of Sahara --- Africa --- Anglophone Africa --- SADC Countries
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This book contains 17 chapters providing details on decision tools that use linear programming to determine recommendations specific to a farmer's context intended to maximize profit from fertilizer use in sub-saharan Africa. Chapter 1 and 2 discusses the principles and approach, and spatial analysis of fertilizer use optimization, respectively. Chapter 3 covers integrated soil fertility management in sub-Saharan Africa. Further, Chapters 4 to 16 explore optimizing fertilizer use within an integrated soil fertility management framework in countries in sub-Saharan Africa, including: Burkina Faso, Ethiopia, Ghana, Kenya, Mali, Malawi, Mozambique, Niger, Nigeria, Rwanda, Tanzania, Uganda, and Zambia. Finally, Chapter 17 describes the process of enabling fertilizer use optimization in sub-Saharan Africa.
application rates, fertilizers, linear programming, optimization, profitability, profits, soil fertility --- Abyssinia, Bourkina Fasso, fertilisers, Nyasaland, subsaharan Africa, Tanganyika --- Africa South of Sahara, Burkina Faso, Ethiopia, Ghana, Kenya, Malawi, Mali, Mozambique, Niger, Nigeria, Rwanda, Tanzania, Uganda, Zambia --- Africa, ACP Countries, Francophone Africa, Least Developed Countries, Developing Countries, West Africa, Africa South of Sahara, East Africa, Anglophone Africa, Commonwealth of Nations, SADC Countries, Community of Portuguese Language Countries, Portuguese Speaking Africa, Southern Africa
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