Presented by Jacqui Ashby, CGIAR Consortium Office at the Joint Pan African Grain Legumes and World Cowpea Conference

1. Why isn’t “gender” just about
impact?
Jacqueline Ashby, Senior Advisor, CGIAR Consortium.
Transformational gender approaches
in legume research and development
Sustainable Grain Legume Systems for Food, Income and
Nutritional Security in a Rapidly Changing Climate.
2 March, 2016

2. Attention to gender is concentrated in the late
stages of product development: e.g. breeding cycle
End User
Profiling
Preference Capture
and Trait Discovery
Phenotyping
Method
Development
Population Screening/
Material selection
End User
Testing
Value Chain &
Market
Development
GENDER ANALYSIS Product
Adoption
and
Impact
KNOWLEDGE
GAP

3. KNOWLEDGE GAP
We still lack a comprehensive picture of gender-
differentiated preferences for varietal traits and
their relative importance
Case studies of localized preferences:
what are widespread preferences versus
cultural- or location-specific ones?
Lists of gender-differentiated preferences:
• Likely impact? E.g. what is the likely
impact on welfare of labor saved by a
faster cooking bean?
• Relative importance?
• How do male or female users make trade-
offs between preferred traits?
• Priorities?

4. BACKGROUND TO THE KNOWLEDGE GAP :
Revolution in Future Breeding and Biotech Innovation
ABI 3730
• Roche 454
• Illumina
• SOLiD (Life
Technologies)
• Helicos
• Pacific
Biosciences
• Roche 454
• Illumina
• SOLiD (Life
Technologies)
• Helicos
• Pacific Biosciences
• Oxford Nanopore
(Illumina)
• Ion Torrent
.01 Corn genome
equivalents per year
0.2 - 0.4 Corn genome
equivalents per day
2001-2007 2007-2014 2014-2020
Explosion of
new options
.01 Corn genome
equivalents per
year
.01 Corn genome
equivalents per
year
.01 Corn genome
equivalents per year
0.2 - 0.4 Corn genome
equivalents per day.01 Corn genome
equivalents per
year
.01 Corn genome
equivalents per
year
Hundreds of
thousands of genes
per year
Thousands of
genes per year
Rate of novel gene & allele discovery
Genome per
decade
Genome per
year
>100 genomes
per day
Genome per
day
Rate of crop genome sequence production
Millions of genes
per year
Tens of millions of
genes per year
Greater
Yield Gains

5. Genes provide the foundation of new products for farmers: but what are the
priority, most gender-responsive products?
Expanding opportunities to target products
more precisely to increase gender relevance
Quality – taste, texture,
cooking time etc.
Storage
Yield
Tolerance to drought
Flowering time?
Low soil P tolerance?
High sugar content?
Genes Protein Trait Product

6. Diversity
- Male and female preferences
overlap
- Women with different resource
endowments don’t have the same
preferences
Only differentiating women’s
preferences from men’s is
misleading
Private enterprise confronts the
diversity challenge by prioritizing
market segments (customers),
profiling and targeting them
Joint

7. Inequality
Gender inequality
makes poverty worse.
Technology choice is
constrained by who
controls resources
e.g who controls the
use of time freed up
by labor-saving
innovations ?
Joint

8. Gaining more control over resources:
e.g. co-development of products with men and
women end users, Honduras case
Participatory plant breeding
(PPB) and varietal selection
(PVS)
• Can enhance women’s status
and control over resources
• Enables end-users to
contribute actively to early
stages of product development
• This speeds up adoption
• And contributes to
empowerment

9. Influential feedback from gender analysis to the
early stages of product development requires
harmonization of methods and approach
Adoption and Marketing Surveys:
share standard modules for collecting sex-
disaggregated data so these data can be
pooled for end-user profiling
Harmonize PVS and PPB approaches to
inform preference capture: ensure data are
easy to compare or pool.
Ex-ante impact analysis, choice
experiments: estimate likely pay-off to
different traits; inform prioritization

10. Opportunities for social & gender analysis
End User
Profiling
Preference Capture
and Trait Discovery
Phenotyping
Method
Development
Population Screening/
Material selection
End User
Testing
Value Chain &
Market
Development
GENDER ANALYSIS Product
Adoption
and
Impact
GENDER
ANALYSIS: