MSc Fellowships in Kenya - Livestock Characteristics in Rangeland Farming Systems in Kenya
The International Livestock Research Institute (ILRI) seeks to recruit a Project Manager responsible for the activities in various projects in order to ensure that the projects complete their deliverable within the stipulated timeline and budget.
ILRI works with partners worldwide to enhance the roles that livestock play in food security and poverty alleviation, principally in Africa and Asia.
The outcomes of these research partnerships help people in developing countries keep their farm animals’ alive and productive, increase and sustain their livestock and farm productivity, find profitable markets for their animal products, and reduce the risk of livestock-related diseases.
The International Livestock Research Institute (ILRI) works to improve food and nutritional security and reduce poverty in developing countries through research for efficient, safe and sustainable use of livestock.
It is the only one of 15 CGIAR research centers dedicated entirely to animal agriculture research for the developing world. Co-hosted by Kenya and Ethiopia, it has regional or country offices and projects in East, South and Southeast Asia as well as Central, East, Southern and West Africa.
The position will investigate livestock characteristics in agricultural production systems with a major focus on ruminants (small and large) and rangeland systems and aims at collecting a suite of data required for establishing accurate Tier 2 GHG emissions baselines across different agroecological zones for the duration of one year.
A standardized protocol that was already successfully applied in Kenya and Tanzania will be followed, following its adaptation to the regional context.
Background and Problem Statement
Dietary changes and growing populations in Sub-Saharan Africa (SSA) are leading to major increases in the demand for livestock products. In East Africa, livestock is a major source of rural income and food security. Livestock production provides between 40 and 55% of household incomes and 26% of dietary protein intake. Across East Africa, livestock production is predominantly managed by smallholder farmers. In mixed crop-livestock systems, half of the agricultural workforce is employed in livestock production; in extensive dryland livestock systems this figure exceeds 90%. Thus, growth in demand for livestock products is an important opportunity to improve incomes for smallholder livestock producers.
At the same time, livestock is a major contributor to anthropogenic greenhouse gas (GHG) emissions. It is estimated that livestock-related GHG emissions represent over 70% of total agriculture emissions in developing countries. In more detail, GHG emission intensities (i.e. GHG emissions per unit of product) are assumed to be much higher than found in production systems in developed countries.
The increasing growth in demand for livestock products is an urgent concern as this in turn could result in an increase in GHG emissions. Implementing mechanisms to remunerate smallholders to increase productivity and simultaneous-ly contributing to reduced GHG emission intensities requires accurate baseline data on GHG emissions from livestock in the first place and national policy support and engagement of the private sector in a second step.
Currently, the development of Low Emissions Development Strategies (LEDS) is increasingly prioritized by East African governments and donors, and the livestock sector is a promising target given their high emissions contributions and vital role in household incomes and food security.
However, the lack of reliable estimates on GHG emissions associated with different practices and productivity levels for different systems is a barrier to the implementation of LEDS.
Scope of the MSc assignment
The MSc students will directly contribute
Characterize the rangeland system in either a degraded or non-degraded rangeland area (household size, number and type of animals, size of available pastures, management, degradation indicators etc.).
Gather livestock production-related data (i.e. liveweight gain, milk production), activity data such as distance travelled and feedstuff-related data (i.e., plant cover, chemical composition of feeds and forages) to enable better estimation of year-long energy expenditure as well as feed availability and quality.
Perform behavioral observations including feeding behavior, diet composition and activity pattern of target ruminant livestock.
Identification of challenges and possible strategies for sustainable improvement of animal performance and rangeland conditions.
Requirements
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