1. Farm level case studies Tanzania
Lieven Claessens
International Institute of Tropical Agriculture (IITA)
Africa RISING ESA Project review and planning meeting
11 – 12 September 2019, Dar es Salaam, Tanzania

2. Discussion on application of SIAF in ESA
(Accra Nov18 and Malawi Feb19)
The majority of scientists do not have data to meet the needs of the SIAF yet
Generation of SIAF data in subsequent research work plans is the way to go…
Experience with inclusion of domains data in workplan requirements shows gaps - either because of limited knowledge or interest in going beyond comfort zones in data generation (appreciating the needs to generate data in non-familiar domains)
Discipline approaches dominate, reflecting failure to implement together even after planning multiple-interventions guided by influence diagrams

3. Discussion on application of SIAF in ESA
(Accra Nov18 and Malawi Feb19)
How can we synthesize/convert single discipline SIAF data into systems SIAF data?
Most data available are at plot-level. How do we plan for household and community levels, including elevation of available plot data?
Recognise multiple ways of presenting SIAF data (Malawi vs Babati) – for different audiences?

4. Recommendations
Take stock of all data collected on a given innovation by different scientists in a given location as a team exercise. Draft a site/country manuscript against the data.
Choose system performance indicators that matter to all who have an interest
Measure and make assessments at landscape and community level, providing a baseline
(Jointly) decide on a target and hence the system performance shift that is needed (arrows)

5. Recommendations
Decide on the multiple interventions needed that are expected (hypothesised) to lead to this shift
Get on with it and see what happens, using an action research approach (try, monitor, adjust)
Trade-offs: Think beyond the results and allow for associations: e.g. What does a productivity outcome mean in the context of farmer decision making for allocation of land and other resources next season?

6. Pre-planning country meetings July
Data collection tools were developed for 3 farms during country meeting in July (Moshi Maile, Lukumai, Monica Pascale)
Gaps identified
Data were to be delivered by 5th of August…..

7. Moshi Maile

8. Lukumai

9. Monica Pascale

10. General observations
Different seasons for different technologies (not overlapping, contrasting)
Different ‘baselines’, treatments and how to set the maximum for one farm in SIAF diagram?
Data quality issues
As expected, big gaps, especially in human and social domains
No data on linkages/integration of multiple technologies (system diagram) and how to present integrated SIAF diagram….

12. The Kongwa Kiteto (TZ) example - an attempt at multi-discipline, multi-indicator presentation (farm system performance)

13. SWC (Contours re-enforced with Gliricidia & fodder grass) 2018
Maize variety (QPM), 2015

15. Conclusions Big issues with data (availability, quality)
Big gaps for application of SIAF, especially in human and social domains
Team effort needed to consolidate (and clean) existing data (more available? Temporal variability?)
Generating new (systems, SIAF) data should now really be part of the workplans! Let’s engage and collaborate!

16. Thank You