A new research paper published by scientists of the Mazingira Centre (‘mazingira’ means ‘environment’ in Swahili) of the Nairobi-based International Livestock Research Institute (ILRI) reports evidence that greenhouse gas emissions from dung patches in developing countries are ‘likely highly overestimated’ in global livestock emissions estimates.
ILRI was honoured this week (3 Sep 2018) to host a high-level German delegation including Maria Flachsbarth, parliamentary state secretary to Germany’s federal minister for economic cooperation and development, and Stefan Schmitz, deputy director of the Federal Ministry of Economic Cooperation and Development (BMZ), as well as senior staff of the Kenya Ministry of Agriculture, Livestock, Fisheries and Irrigation, including Andrew Tuimur, chief administrative secretary, and Ann Onyango, agriculture secretary; and representatives from several other CGIAR centres working in Kenya, including Tony Simons, director general of ICRAF, and representatives from the Nairobi-based International Centre of Insect Physiology and Ecology (icipe).
For your viewing and listening pleasure, here are two short video ‘stories’ by two great agricultural-research-for-development storytellers.
The implementation of effective mitigation strategies relies on accurate GHG emission data. But what if the underlying assumptions upon which these GHG emission estimates are based are inaccurate?
With growing food demand, the adoption of crop and livestock technologies and more efficient markets offer opportunities to enhance agricultural production, food security and resilience in rural Zimbabwe.
Kenya President Uhuru Kenyatta addressed the 400 guests at the national conference of the Feed the Future Kenya Accelerating Value Chain Development project at ILRI on 27 Apr 2018.
ILRI and the Jean Golding Data Science Institute at the University of Bristol, UK, are challenging any data lovers to come up with novel, useful or exciting ways to use a big new dataset to improve understanding of farming practices and outcomes in low-income countries.