Variety for security: A case study in Western Kenya. A presentation given by Mary Kanui, PhD student (Geography & Environment)
Find out more about this research:
http://www.bioversityinternational.org/news/detail/improving-nutrition-through-local-agricultural-biodiversity-in-kenya/
4. 1. Agrobiodiversity as a path to household food security?
• Food security: availability, accessibility, utilization of adequate
food
• Agrobiodiversity: components of biodiversity of relevance to food
& agriculture
• In Africa, up to 80% of agriculture practised by smallholder
farmers
• To what extent does agrobiodiversity contribute to food, nutrition
& health?
5. 1. Agrobiodiversity- Kenyan context
• Species numbers:
• ~ 35,000 animal, plant & micro-organism species
• 3 sustaining species: maize, wheat, rice (Ekesa, 2009)
• High food shortfalls and malnutrition rate
• Yet local agrobiodiversity under-utilized as primary food security
resource (Frison et al., 2006)
• Western Kenya:
• High agrobiodiversity
• But 50% population below poverty line with high malnutrition and
poor health (Abukutsa-Onyango, 2002)
6. 1. Study objectives
Food plant diversity (animals and plants) & underlying
factors
Food accessibility & market integration
Functional diversity (animals and plants)
Dietary diversity (overall household, women)
12. Differentiation of key terms
• Species: basic taxonomic unit for distinct organisms
• Varieties: different types within a species naturally occurring
• Cultivars: cultivated varieties
• Species richness: number of different distinct organisms
• Species abundance: number of individuals per species
16. 3.1.1 ABD importance in the 2 agro-ecological zones
Summed Dominance Ratio (SDR) of food plant species
17. 3.2.2 Factors influencing plant ABD
Species
richness
Shannon
index
Shannon
evenness
Adjusted R2
Predictor variables
TLU/household
member
(0.00-0.41;
TLU=Tropical
Livestock Units)
Household head age
(22-57)
Farming years (0.5-
30)
Ethnicity of household
head is Luhya (0=no,
1=yes)
Shannon index Diversity
Shannon evenness
18. 3.2.2 Factors influencing plant ABD
Species richness Shannon index Shannon
evenness
Adjusted R2 49.1** 22.8** 25.8*
Predictor variables
TLU/household member
0.5*** ns ns
(0.00-0.41;
TLU=Tropical Livestock
Units)
Household head age
(22-57)
0.5** ns ns
Farming years (0.5-30) ns 0.5** 0.4*
Ethnicity of household
ns ns 0.4*
head is Luhya (0=no,
1=yes)
For each of the predictor variables, standardized beta (β) coefficients are indicated. *, **and *** represent significant differences at p ≤0.05, p ≤0.01,
p ≤0.001, respectively according to F-Test (for the model) or T-Test (for predictor variables)
20. 3.1.3 ABD & household food security: is there a relationship?
No direct relationship between food plant ABD & household hunger
scores
Proportion of on-farm food consumed during the last five times of consumption
21. 3.1 Farm agrobiodiversity: Summary
Importance of some food groups varies
with agro-ecological zones
Food plant species richness is mainly
influenced by socio-economic factors
There is no direct relationship
23. 3.2.1 What is the role of markets in household food access?
(M)=Mumias, (V)= Vihiga Proportion of food sources during the last five times of consumption
24. 3.2.2 What are the uses of on-farm produce?
(M)=Mumias, (V)= Vihiga Main food uses
25. 3.2.3 What is the extent of smallholder market integration?
• Out of the interviewed market traders:
• 15%: smallholder farmers/part-time traders
•10%: small scale/travelling traders
•75%: large scale traders/ wholesalers
26. 3.2 Market agrobiodiversity: Summary
Smallholders access from multiple sources
Smallholders produce food for both home
consumption and for sale
Smallholders are least involved as sellers in
formal markets
29. 4.1 Nutrient diversity
• Species richness explains taxonomic identity, not functional identity
• Nutritional functional diversity metrics:
• summarize nutritional diversity of cropping systems
• Previous studies:
•Presence/absence-based functional diversity metric (Remans et al., 2011,
DeClerck et al., 2011)
• Gap on abundance-based functional diversity metric:
• Available data: abundance of on-farm food plants and livestock
• Unavailable data: abundance of foods sourced off-farm
30. 4.1 Nutrient diversity: key questions
What nutrients are available and what are missing for smallholders
to have a diverse diet?
Using market price as proxy for food accessibility, how does food
accessibility compare to income levels?
32. 4.2 Dietary diversity
• Households with higher incomes can compensate for reduced
on-farm ABD…
… but depends on who controls the income
• Subsistence-oriented crops viewed as women’s ‘domestic’
domain
•On-farm cultivation of nutritious foods…
… doesn’t translate to equal food access for all household
members
33. 4.2 Dietary diversity: key questions
How does food diversity vary across households, using 1-day and
7-day recalls?
Is there a relationship between agricultural and dietary diversity
among these households?
35. 5. Conclusions & recommendations
• Smallholder farmers utilize multiple channels to attain household
food security
• Households with subsistence-oriented farming systems are not
necessarily more food and nutrition secure
• Smallholder farmers need support to:
– diversify more into high-value nutrient-dense crops and livestock
species (mention lydia’s concl.on ASFs to create connection)
– get organised to fill in local market gaps & add value to surplus
(perishable) produce
– improve access to formal markets & market traders
36. Acknowledgements
• Supervisors:
– Dr. Gudrun Keding (Bioversity)
– Dr. Katja Kehlenbeck (ICRAF)
– Dr. Patricia Daley (Oxford)
– Dr. Shonil Bhagwat (Oxford)
• Funding sources:
– Tuition funding at Oxford:
Rhodes Trust
– Project funding at Bioversity:
GIZ-BMZ & CRP A4NH
• Plant specialists:
– Patrick Maundu
• Smallholder farmers & market
traders
• Local administration & contact
persons
• Research assistants & data
entry clerks
• INULA colleagues & Bioversity
Staff
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