Yield gap analysis is an important tool to estimate the potential crop
production increases in a controlled environment. This analysis gives
valuable insights into the biophysical requirements to meet food
production goals. While yield gap analysis is well documented for
cereals, there are significant gaps in such analysis for commodities
such as potatoes. Where data is available, it is often location specific
and not scalable. The use of simulation models is also limited by
difficulties in parameterisation.
In this context, CIP formed a ‘community of practice’ with breeders and
agronomists from 12 African countries to arrive at reliable parameters
and thereby yield gap analyses for the region. The community of practice
was primarily composed of experts with between 8 and 31 years experience
working on the crop, and validated the parameters for the Solanum
simulation model developed by CIP. Furthermore, the community of
practice also familiarised themselves with the Solanum model, giving
inputs for further development of the model. Through these inputs,
Solanum is now able to provide expert validated and more accurate yield
gap analysis for potatoes in the region, in a user friendly manner.
While there is a need to further expand the scope of this work to have a
truly scalable dataset, the initial regional analyses show that potato
yield gaps are likely to be higher than expected. They even exceed the
yields normally obtained by scientists in on-station trials. Yields for
the average farmers are currently less than 10 t/ha, whereas there is
potential to achieve 50 t/ha. This information will be crucial for
regional policy makers in their endeavour to formulate appropriate
policies. The community of practice has agreed to work together to widen
the scope of their work under the umbrella of an initiative called
‘Climate-Smart Potato in Sub- Saharan Africa’.
CCAFS. A Community of Practice for African Researchers and Practioners. CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), Copenhagen, Denmark (2014) 2 pp.