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Showing items 4735 through 4743 of 73419.Production of guidelines for best sustainable land management (SLM) technologies and approaches in Sub- Saharan Africa (SSA) has been part of TerrAfrica’s programme during 2009-2010. These guidelines and case studies are intended to help create a framework for investment related to SLM in SSA.
Climate variability and extreme weather events such as floods and droughts continue to increase due to climate change. These changes will have significant impacts on low- and middle-income countries.
"Shamba Shape Up" is a popular television show in East Africa that focuses on agricultural education and improvement.
The workshop provided overview on the food systems landscape in Kenya, and to identify opportunities to inform inputs on crop diversification, livestock, land use expansion, and irrigation. It also contributed immensely into policy and stakeholder mapping exercise in Kenya.
Plant genetic resources (PGR), including collections held in national and international gene banks, provide access to a wide array of genetic diversity and are critical to genomics research, conservation efforts, and applied breeding.
This perspective describes the opportunities and challenges of data-driven approaches for crop diversity management (genebanks and breeding) in the context of agricultural research for sustainable development in the Global South.
Landraces are traditional crop varieties that often have special adaptations to the farming environment in which they have evolved and are therefore a valuable source of useful traits for plant breeders.
Over the past 20 years, recurrent and violent conflicts between farmers and Fulani pastoralists have persisted in Northern Ghana. These conflicts mainly revolve around access to and utilisation of natural resources such as land and water.
Acid tropical soils may become more productive when treated with agricultural lime, but optimal lime rates have yet to be determined in many tropical regions. In these regions, lime rates can be estimated with lime requirement models based on widely available soil data.
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