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Gender-differentiated needs and
preferences of farmers for Rohu fish in
Bangladesh and India
Mamta Mehar, Mekkawy Wagdy, Cynthia McDougall and John Benzie
7th
Global Conference on Gender in Aquaculture & Fisheries (GAF7)
Oct. 18, 2018, Bangkok
Facts!
Aquaculture is
promising…
Fish is critical
to nutrition
Challenges?
Extensification
Genetics
• Genetics improved strain success (Benzie et al. 2012 and Gjedrem & Rye 2016)
• World aquaculture production could be doubled within 13 years if
selective breeding is applied to all aquatic species (Gjedrem et al. 2012)
• Less than 10% of global aquaculture production is based on genetically
improved fish from modern breeding programs (Olesen et al. 2015)
The wide adoption of improved strains depends on the benefits they provide to women and men
involved in production, consumption, and marketing
Breeders’ question
• Who they are breeding for?
• Feasible trait(s) with adoption and economic impact on a
large scale
• Potential trait(s) for all segments of society and across
countries
• Gender-responsive traits
Why Gender?
Source: Presentation by Jacqueline Ashby on 21 September 2017 as part of the webinar 'Design elements for gender-
responsive breeding’. Avialable at http://gender.cgiar.org/webinar-design-elements-gender-responsive-breeding/
Picture of Rohu, Tilapia & Silvercarp
Fish trait examples:
•Length (cm)
•Weight (g)
•Color
•Taste
•Body shape
•Firmness
•Bone texture
Study: India and Bangladesh
• What are the needs and preferences of farmers (both as
producers and consumers)?
• Do the needs or preferences for traits differ between
men and women? If yes, in what way and to what extent
do they differ?
• And what are the implications of these differences
for genetic improvement fish breeding programs?
A review of fish trait preferences by users:
implications for fish breeding
• Non-systematic search: No (fish) breeding program has social and gender inclusion
• Systematic search (Regions: Europe, Africa & Asia)
Reference: Revised reference is: Mehar et al. (in process). Fish trait preferences: A review of existing
knowledge and implications for breeding programs
Interdisciplinary team
Gender Genetics Sustainable
Aquaculture
Rural Sociology &
Mixed Methods
Rural Sociology
Economics
From left to right: Ann Tickmayer , Cynthia McDougall, John Benzie, Mamta Mehar, Wagdy Mekkaway, Jharendu Pant and Conner Bailey
Studied region
Methods
Results: outline
• Community level
• Focus group discussions
• Household level: Male & females separately
• Experimental choices (ranking using 1000minds app)
• Open-ended questions
• What they like/dislike
• What they would like to improve
• Household level: Producer
• Open-ended
• Preference with measures size (weight & length) and growth
Focus group discussion
Male and female preferences and needs vary:
•main income source of household
• Fish or rice farming
•Based on their involvement in fish activity at farm and household
• E.g. Feed management monitoring, especially water quality, cooking quality, consuming,
buying fry/fingerlings, no female involvement in harvesting & selling to market
“Male gives more times to paddy, so
female takes care of ponds”
- Respondent
“Despite female group [SHG working for fish], males go
to hatchery to buy fry/fingerlings, harvest & sell fish”
- Respondent
FGD (cont’d)
• Based on consumption preference and
family food security
• Rohu main fish, festival and ceremonies, nutrition and
total food intake of household, males eat head, children
cannot eat small rohu as it has more bones
• Based on decision-influence
• Trait preferences for what to cultivate and what to buy
"…When serving fish to the head of
the family (male), the female serves
his choice of fish."
- Respondent
“The mothers-in-law and husbands of individual farmers
usually decide which fish are cooked in the household”
- Respondent
"Women choose which particular
variety of fish to purchase for cooking."
- Respondent
Experimental choices: 1000minds01020304050
RelativeImportance%
W
eight_m
Length_m
Price_m
BodyShape_m
Taste_m
Violin Plot for Male Preferences
01020304050
RelativeImportance%
W
eight_F
Length_F
Price_f
BodyShape_F
Taste_f
Violin Plot for Female Preferences
Open-ended question
Female: What would you like to improve?Male: What would you like to improve?
What to improve (cont’d)
Preferences for size & growth
• Improve size (in length and weight)
• Growth strain:
• Short culture period with large size (more than 1 kg)
• Short culture period with same size (500-600 g)
Farmers preferences for size & cultivation period (%)
Duration
monthweight
500-800 g above 800 g
4-6 months 65.26 34.88
6-10 months 34.74 65.12
Trait preferences across farmers
(in progress…..)
Traits Farming
type
Inputs Management
Feed (type,
qty, timing)
Fertilizer Pond
management
Water quality
management
Summary
• Results from systematic literature review:
• No (fish) breeding program has social and gender inclusion
• Only 26 studies have explored trait preferences across users
• 6 studies have highlighted that male & female preferences differ significantly
• Results from field information:
• Men's & women’s needs & priorities are different (quali-FGD)
• No significant difference between male & female preferences (quant. )
• Common & divergent preferences of males & females (quant in quali
manner)
Eliciting, defining, communicating traits to
breeding program needs:
• No gold standard rule to find (feasible) trait(s)
• Use, sequencing & layering of different methods
• Mixed methods
• Make sense of information via analyzing 'inter-sectional
points' vis-à-vis culture concerns (e.g. norms, behaviour…)
• Focused interaction of different disciplines (Ragkot, 2018)
Thank You
m.mehar@cgiar.org

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Gender-differentiated needs and preferences of farmers for Rohu fish in Bangladesh and India

  • 1. Gender-differentiated needs and preferences of farmers for Rohu fish in Bangladesh and India Mamta Mehar, Mekkawy Wagdy, Cynthia McDougall and John Benzie 7th Global Conference on Gender in Aquaculture & Fisheries (GAF7) Oct. 18, 2018, Bangkok
  • 4. Genetics • Genetics improved strain success (Benzie et al. 2012 and Gjedrem & Rye 2016) • World aquaculture production could be doubled within 13 years if selective breeding is applied to all aquatic species (Gjedrem et al. 2012) • Less than 10% of global aquaculture production is based on genetically improved fish from modern breeding programs (Olesen et al. 2015) The wide adoption of improved strains depends on the benefits they provide to women and men involved in production, consumption, and marketing
  • 5. Breeders’ question • Who they are breeding for? • Feasible trait(s) with adoption and economic impact on a large scale • Potential trait(s) for all segments of society and across countries • Gender-responsive traits
  • 6. Why Gender? Source: Presentation by Jacqueline Ashby on 21 September 2017 as part of the webinar 'Design elements for gender- responsive breeding’. Avialable at http://gender.cgiar.org/webinar-design-elements-gender-responsive-breeding/
  • 7. Picture of Rohu, Tilapia & Silvercarp Fish trait examples: •Length (cm) •Weight (g) •Color •Taste •Body shape •Firmness •Bone texture
  • 8. Study: India and Bangladesh • What are the needs and preferences of farmers (both as producers and consumers)? • Do the needs or preferences for traits differ between men and women? If yes, in what way and to what extent do they differ? • And what are the implications of these differences for genetic improvement fish breeding programs?
  • 9. A review of fish trait preferences by users: implications for fish breeding • Non-systematic search: No (fish) breeding program has social and gender inclusion • Systematic search (Regions: Europe, Africa & Asia) Reference: Revised reference is: Mehar et al. (in process). Fish trait preferences: A review of existing knowledge and implications for breeding programs
  • 10. Interdisciplinary team Gender Genetics Sustainable Aquaculture Rural Sociology & Mixed Methods Rural Sociology Economics From left to right: Ann Tickmayer , Cynthia McDougall, John Benzie, Mamta Mehar, Wagdy Mekkaway, Jharendu Pant and Conner Bailey
  • 13. Results: outline • Community level • Focus group discussions • Household level: Male & females separately • Experimental choices (ranking using 1000minds app) • Open-ended questions • What they like/dislike • What they would like to improve • Household level: Producer • Open-ended • Preference with measures size (weight & length) and growth
  • 14. Focus group discussion Male and female preferences and needs vary: •main income source of household • Fish or rice farming •Based on their involvement in fish activity at farm and household • E.g. Feed management monitoring, especially water quality, cooking quality, consuming, buying fry/fingerlings, no female involvement in harvesting & selling to market “Male gives more times to paddy, so female takes care of ponds” - Respondent “Despite female group [SHG working for fish], males go to hatchery to buy fry/fingerlings, harvest & sell fish” - Respondent
  • 15. FGD (cont’d) • Based on consumption preference and family food security • Rohu main fish, festival and ceremonies, nutrition and total food intake of household, males eat head, children cannot eat small rohu as it has more bones • Based on decision-influence • Trait preferences for what to cultivate and what to buy "…When serving fish to the head of the family (male), the female serves his choice of fish." - Respondent “The mothers-in-law and husbands of individual farmers usually decide which fish are cooked in the household” - Respondent "Women choose which particular variety of fish to purchase for cooking." - Respondent
  • 16. Experimental choices: 1000minds01020304050 RelativeImportance% W eight_m Length_m Price_m BodyShape_m Taste_m Violin Plot for Male Preferences 01020304050 RelativeImportance% W eight_F Length_F Price_f BodyShape_F Taste_f Violin Plot for Female Preferences
  • 17. Open-ended question Female: What would you like to improve?Male: What would you like to improve?
  • 18. What to improve (cont’d)
  • 19. Preferences for size & growth • Improve size (in length and weight) • Growth strain: • Short culture period with large size (more than 1 kg) • Short culture period with same size (500-600 g) Farmers preferences for size & cultivation period (%) Duration monthweight 500-800 g above 800 g 4-6 months 65.26 34.88 6-10 months 34.74 65.12
  • 20. Trait preferences across farmers (in progress…..) Traits Farming type Inputs Management Feed (type, qty, timing) Fertilizer Pond management Water quality management
  • 21. Summary • Results from systematic literature review: • No (fish) breeding program has social and gender inclusion • Only 26 studies have explored trait preferences across users • 6 studies have highlighted that male & female preferences differ significantly • Results from field information: • Men's & women’s needs & priorities are different (quali-FGD) • No significant difference between male & female preferences (quant. ) • Common & divergent preferences of males & females (quant in quali manner)
  • 22. Eliciting, defining, communicating traits to breeding program needs: • No gold standard rule to find (feasible) trait(s) • Use, sequencing & layering of different methods • Mixed methods • Make sense of information via analyzing 'inter-sectional points' vis-à-vis culture concerns (e.g. norms, behaviour…) • Focused interaction of different disciplines (Ragkot, 2018)
  • 23.

Editor's Notes

  1. Before I start, I would like to share few facts about imp of aquaculture Fish criticl to nutrition security Promising for food security, sustainable intensification….
  2. Maintaining this growth trajectory on a sustainable basis while improving resilience of production systems and communities will be a challenge. Extensification.. Land and resources are fixed, more land may result in more deforestation and hence environmental concern Intensification….innovation strategy
  3. Although still limited relative to agriculture, genetically improved strains are providing a significant proportion of some aquaculture species Breeding they generally add genetics and environmental and now they add a social component on it ‘gender’, to ensure equitable outcome with gender
  4. For breeder to meet these ….social scientist and they themselves sd work together .
  5. Fresh water fish…..They eat fish on average 2-3 times a week. They cultivate Rohu for household consumption, festival, culture of god… we surveyed dual headed household,
  6. we explore opportunities and strategies for providing fish breeders information necessary to respond to trait preferences expressed by men and women farmers who are actively involved in farm management as well as fish processing and marketing.
  7. The major challenge when we started was, we do not have robust data. So As a first step, we review all studies sting aquaculture production practices two non-systematic searches were carried out. Systematic literature review, globally…. None of the study has specifically look for trait…none of the study has gender inclusion (except one in retailer in EGYPT…not other countires has no female in retailer), though few studies discussed on farmer type, and socio-economic characteristic like age his motivated us for a evidence based study, 2 1 5 4 …with auburn library facility, I have few more added in my notes
  8. This is not a stand alone gender or genetic study, we work in interdisciplinary team Gender ….needs to be understand (why gender matters) And I as a gender specialist and an economist have tried to optimize the trade-off of all (between them) (and) to derive unique trait (preferred traits)
  9. G& G have their own priorities & methods. We hv tried to ensure both. For gender we interviewed 138 Dual headed household, and female and male enumerators. Principal income source is, average pond size is 0.6 ha.
  10. Breeder cannot breed for all (preferred traits)… so methods are used to derive unique trait. One such unique method is 1000 minds. Image, u can see we have calculated the exact size… with discussion with breeder, we find 4 trait, price is used for economic valuation. With a market survey, we find the levels. 1000 minds, is like choice experiment, it gives permutation & combination of different traits……
  11. Only one female retailer …not out of choice Even female SHG dependent on male for harvest & sale Male are selling to market, demand, price, fleshy, texture r .. ….
  12. Only one female retailer …not out of choice Even female SHG dependent on male for harvest & sale Male are selling to market, demand, price, fleshy, texture r .. ….
  13. The results shows weight as the most preferred trait, followed by length and taste. Price is the least preferred trait among the traits. No gender difference from visual… Male or female both have different preferences for traits. However, male & female preferences are not significantly different why gendered breeding?)
  14. The second method used, is asking open ended, this was asked before 1000 mind, to ensure unbiasness. Common trait: growth, size (1-1.5 kg)-weight, culture period Different: male-survival, female: nothing, no improvement, head of fish,
  15. No knowledge,… from enumerator notes …. Husband knows
  16. Two things not presented here are: 1. Results not presented here, but the entire study is done in a sustainable intensification framework. i.e Culture period data is further analysed with farm management standard indicator, as farmer own practice influence…. (Eg. Size of fish stock, feed type, water quality etc.) 2. This process, is not enough, assessment with many more intersectionality is important…it needs to be study with insights of sociology with intersectional perspective…. so we worked with direction & mentorship of Sociology.. NB: Pic is silver barb….
  17. Trait preferences by farmers different farming conditions & management practices
  18. This work is a part of big effort……., In 2015, G&B PDF initiative was designed to enable cross-program synergies. 7 post-doc, 5 crop (fish, livestock, banana, cassava) and 10 countries. Lemlem, Seamus and I for consumer and producer fish
  19. Male or female both have different preferences for traits. However, male & female preferences are not significantly different why gendered breeding?)