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Assisting smallholder farmers in mixed
crop-livestock systems to understand
the potential effects of management
options an...
Outline
• Participatory approaches in mixed farming
systems
• Frame work
• Participatory modeling
• Use of approach in Agr...
• Complex systems with various interacting subsystems
• Productive resources are limited and used inefficiently as evidenc...
• Inclusion of stakeholders in technology
development, implementation and marketing
of the products
• Participatory modeli...
• Iterative process-more widely
accepted solution
• Cooperative learning and
development of solutions
• Improvements as ne...
Participatory modeling approach
Day 1
Day 1Day 2Day 3
On-farm testing
Water efficient farming systems
0
2000
4000
6000
8000
10000
12000
System2 system1
Total available biomass kg
Insiza
mazhay...
0
10
20
30
40
50
60
70
80
90
100
0 50 100 150 200 250 300 350 400 450
Probabilityofexceedence(%)
% grain requirement met
C...
Potential Use of Approach in Agroforestry Systems
• Tradeoffs and synergies occurring both on-
and off-site and varying ov...
Possible Agroforestry arrangements with 25% tree cover
Lloyd S et al., 1993
• Potential to achieve many of the environmental, economic
and social objectives which field experiments and other
partici...
• Systems modeling has been used to achieve relevant and
significant interventions in commercial farm management
systems e...
• Use of these tools
• Would significantly contribute to sharpen our understanding
on impacts of different interventions
•...
• The complex nature of smallholder farming systems means that
there are many entry points and a wide range of technologie...
THANK YOU
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Assisting smallholder farmers in mixed crop-livestock systems to understand the potential effects of management options and climate change through participatory modeling

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By Patricia Masikati

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Assisting smallholder farmers in mixed crop-livestock systems to understand the potential effects of management options and climate change through participatory modeling

  1. 1. Assisting smallholder farmers in mixed crop-livestock systems to understand the potential effects of management options and climate change through participatory modeling Patricia Masikati Beating Famine Conference 14- 17 April 2015 Lilongwe, Malawi
  2. 2. Outline • Participatory approaches in mixed farming systems • Frame work • Participatory modeling • Use of approach in Agroforestry systems • Key messages
  3. 3. • Complex systems with various interacting subsystems • Productive resources are limited and used inefficiently as evidenced by continued low production • Low technology adoption • Limited integration of diverse viewpoints from experts and specialized stakeholders during technology development • Viewed as an important route to increase productvity and sustainability of small-holder farmers Integrated crop-livestock systems
  4. 4. • Inclusion of stakeholders in technology development, implementation and marketing of the products • Participatory modeling: combines participatory research approach and computer based modeling that engages stakeholders • Iterative processes to bring about widely accepted solutions • Facilitates cooperative learning and developments of solutions Participatory methods
  5. 5. • Iterative process-more widely accepted solution • Cooperative learning and development of solutions • Improvements as new situations arise Framework
  6. 6. Participatory modeling approach Day 1 Day 1Day 2Day 3
  7. 7. On-farm testing
  8. 8. Water efficient farming systems 0 2000 4000 6000 8000 10000 12000 System2 system1 Total available biomass kg Insiza mazhayimbe 0 1 2 3 4 System2 WP System1 WP System WP kg/m3 Insiza mazhayimbe -6000 -4000 -2000 0 2000 4000 System2 system1 Feed deficits kg/year Insiza mazhayimbe Result presentation and discussion Effect of inclusion of forage crops in current farming systems on total biomass, feed deficits and total biomass water productivity. System 1 = Maize, Mucuna and Bana grass, system 2 = Maize and groundnuts.
  9. 9. 0 10 20 30 40 50 60 70 80 90 100 0 50 100 150 200 250 300 350 400 450 Probabilityofexceedence(%) % grain requirement met Control Micro-dose Mz_muc 100% 0 10 20 30 40 50 60 70 80 90 100 0 25 50 75 100 125 150 175 200 225 250 Probabilityofexceedence(%) % DM requirement met Control Micro-dose Mz_muc 100% 0 10 20 30 40 50 60 70 80 90 100 0 50 100 150 200 250 300 350 400 450 Probabilityofexceedence(%) % grain requirement met Control Micro-dose Mz_muc 100% 0 10 20 30 40 50 60 70 80 90 100 0 25 50 75 100 125 150 175 200 Probabilityofexceedence(%) % DM requirement met Control Micro-dose Mz_muc 100% Current climate Future climate Longterm Impacts of food and feed requirements
  10. 10. Potential Use of Approach in Agroforestry Systems • Tradeoffs and synergies occurring both on- and off-site and varying over time • Involves a number of stakeholder, • Benefits achieved in the longterm, CSA Lloyd S et al., 1993 • Agroforestry systems are complex with various interrelating factors • Involves multiple products or benefits (non and intended),
  11. 11. Possible Agroforestry arrangements with 25% tree cover Lloyd S et al., 1993
  12. 12. • Potential to achieve many of the environmental, economic and social objectives which field experiments and other participatory approaches might not be able fathom. • Targeting of relevant and significant interventions in farming systems • Facilitates analysis of individual components to understand simplistic relationships, evaluation of more complex interactions and determine overall systems efficiency. • Ex-ante impact assessments and interactions from increased management input and increased diversity, along with determining efficient risk reduction strategies in the context of climate change Modeling Agroforestry Systems
  13. 13. • Systems modeling has been used to achieve relevant and significant interventions in commercial farm management systems e.g. Australia • Modeling has not yet received much significant attention in complex farming systems and decision-making processes in SSA. • Constraints to application of this methodology are mainly lack of data (biophysical, socio-economic), expertise and validated modeling tools or models. Constraints
  14. 14. • Use of these tools • Would significantly contribute to sharpen our understanding on impacts of different interventions • Targeting of relevent interventions to improve, systems efficiency with much less resources as compared to field experiments. • Assist in determining profitable and feasible intervention before implementation. • As said by Dosskey and Wells, 2000 “Few things disappoint a landowner such as spending money, time, and effort on a project that fails…. Especially one like agroforestry, where it can be years before problems become apparent”. Avenue worth pursuing
  15. 15. • The complex nature of smallholder farming systems means that there are many entry points and a wide range of technologies and strategies on offer • Computer-based participatory modeling offers scientists, farmers and specialized stakeholders a tool to develop and evaluate the impact of interventions at varying scales in time and space • The process allows farmers, scientist and other stakeholders to understand the impact of their decisions, evaluate new options and define possible production and management options tailored to their particular circumstances • However technology adoption is not mainly based on its agronomic performance but by other factors/uses that would be important to the overall farm production and household needs Key messages
  16. 16. THANK YOU

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