SlideShare a Scribd company logo
1 of 19
Gendered Selection Trait
Preferences for Farmed Fish in Egypt
S. Murphy, H. Karisa, S. Rajaratnam, C. McDougall, S. Cole A. Nasr-
Allah, D, Kenawy; M. van Brakel; s.murphy@cgiar.org
In this Presentation
1. Introduction; Tilapia supply & demand
2. Mixed Methods; Tools & sampling
3. Results; Tilapia consumption
4. Results; Tilapia trait preferences
5. Results; Mealtime behaviour
6. Implications & what next?
1.1. National Aquaculture Production
Aquaculture
production
(2016/MT)
(00โ€“16โ€™; MT; source GAFRD, 2016)
340093
1370660
0
200000
400000
600000
800000
1000000
1200000
1400000
1600000
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
Aquaculture Production
1.2. Tilapia markets and price trends
(00โ€“16โ€™; EGP/kg; source el-Obour Auction House)
2.1. Mixed Methods
Q. 11. Please rank your top Tilapia trait preferences
#Top Traits
(*10 > *1)
#Top Trait Attributes
(*5 > *1)
11. 1 Size Grade 1 Grade 2 Grade 3 Grade 4
11.2 Body Length Long Medium Short Stumpy
11.3 Body Width Fat Medium Slim Skinny
11.4 Head Size Large head Medium Small head Very small
11.6 Tail Size Large tail Medium tail Small tail Very small tail
11.6 Fillet Ratio We love
bones
We like
bones
Bones okay Dislike bones
3.1. Results; Sample characteristics
N 739
Education %
Women with no formal education 31.2%
Women > primary level education 47.6%
Men with no formal education 18.4%
Men > primary level education 58.7%
Employment
Women with paid employment 5.7%
Men with paid employment 90.3%
Food ration card holders
HH head receiving support 10.7%
Household size (ฮผ 4.5 ยฑ 1.51)
1 โ€“ 3 25.1%
4 โ€“ 6 63.1%
7 โ€“ 11 11.9%
Gender
Female 474
Male 285
3.2. Results; Weekly fish expenditure by location
Fish Expenditure during the past 7 days (Kg & EGP)
Metro Lower Egypt Upper Egypt
Cairo Sharkia Kafr Beheira Total Fayoum Menia Aswan Total Total
N 100 100 100 100 300 110 120 120 349 739
% of fish-consuming HHs 39% 83% 82% 70% 75.9% 52.7% 10% 11.8% 24.4% 49.78%
Tilapia 89.7 77.1 86.6 85.7 83.7 74.1 91.7 100 81.4 83.7
Lizardfish 2.6 2.4 4.9 2.9 3.3 24.1 0 0 16.1 9.4
Mackerel 0 3.6 6.1 7.1 6 5.2 0 0 3.4 3.6
Mullets 5.1 1.2 8.5 1.4 3.2 0 0 0 0 2
Catfish 5.1 0 0 2.9 1.4 1.7 8.3 0 2.5 2.6
Kg bought by fish-consuming HHs:
Mean qnt bought (kg) 1.6 1.7 1.7 1.3 1.5 1.8 2 2.3 1.9 1.7
Mean monthly food exp. 530.1 530.0 584.5 482.8 577.7 589.7 628.5 562.4
Food exp./Total exp. 45.7% 45.9% 37.7% 37.9% 54.3% 59.9% 56.4% 46.4%
3.3. Results; Weekly fish expenditure by region
Lower Egypt Metropolitan Upper Egypt
Cost of weekly fish purchase (EGP)
4.1. Results; Priority tilapia traits by gender & regions
Lower Egypt Metropolitan Upper Egypt Total
Female Male All sig. Female Male All sig. Female Male All sig. Female Male All sig.
All/
Region
N 198 102 300 53 47 100 223 116 339 474 265 739
Carcass Size 7.77 8.26 7.94 8.49 8.38 8.44 8.33 8.23 8.30 8.12 8.27 8.17
Body Length 6.22 6.84 6.43 * 6.45 6.85 6.64 6.53 6.68 6.58 6.39 6.77 6.53 *
Body Width 6.44 6.77 6.55 7.17 6.32 6.77 * 6.47 6.68 6.54 6.53 6.65 6.58
Head Size 5.42 4.75 5.19 ** 4.57 4.04 4.32 4.20 4.04 4.15 4.75 4.31 4.60 ** **
Tail Size 3.64 3.71 3.66 3.09 3.34 3.21 3.71 3.49 3.63 3.61 3.55 3.59 *
Bone/Fillet Ratio 2.00 1.93 1.98 2.55 2.36 2.46 3.54 3.24 3.44 2.78 2.58 2.71 **
Mean values in bold are significantly higher than the corresponding figure for other sex/regions. #Means are significantly different at the 0.05, 0.01 levels for *, **
4.2.1. Methods for scoring trait attributes (*5/24 โ€“ f/739)
Q. 11. Please rank your top Tilapia trait preferences
#Top Traits (*10 > *1) #Top Trait Attributes (*5 > *1)
11. 1 Size Grade 1 Grade 2 Grade 3 Grade 4
11.2 Body Length Long Medium Short Stumpy
11.3 Body Width Fat Medium Slim Skinny
11.4 Head Size Large head Medium Small head Very small
11.6 Tail Size Large tail Medium tail Small tail Very small tail
11.6 Fillet Ratio We love bones We like bones Bones okay Dislike bones
4.2.2. Results; Trait rankings by gender & region
Lower Egypt Metropolitan Upper Egypt Total
Female Male All sig# F Female Male All sig# F Female Male All sig# F Female Male All sig#
(All/
Region)
F
N 198 102 300 53 47 100 223 116 339 474 265 739
LengthMedium_score 2.88 2.48 2.73 83 2.62 2.50 2.56 41 3.28 2.72 3.02 * 99 3.01 2.60 2.83 ** 223
WidthFat_score 2.76 3.26 2.92 * 60 2.70 2.10 2.40 20 3.28 2.96 3.15 66 2.98 2.91 2.95 ** 146
WidthMedium_score 2.58 2.65 2.60 43 2.56 2.73 2.63 27 2.88 2.95 2.91 55 2.71 2.80 2.74 125
Grade4_score 3.46 4.64 3.74 * 46 4.25 3.75 4.00 8 4.52 4.56 4.54 41 3.90 4.48 4.11 ** ** 95
Grade3_score 3.68 3.80 3.73 40 3.25 4.00 3.59 22 4.79 3.57 4.46 ** 26 3.96 3.81 3.91 * 88
HeadMedium_score 2.64 2.33 2.56 48 3.50 1.40 2.33 * 9 2.41 2.31 2.37 30 2.63 2.17 2.47 87
TailMedium_score 2.64 2.33 2.56 48 3.50 1.40 2.33 * 9 2.41 2.31 2.37 30 2.63 2.17 2.47 87
Grade1_score 4.08 4.13 4.10 21 3.50 4.00 3.57 7 4.00 4.20 4.09 33 3.95 4.17 4.03 61
HeadSmall_score 2.29 2.20 2.26 34 3.00 1.75 2.29 7 1.88 2.00 1.93 14 2.26 2.05 2.18 55
TailSmall_score 2.29 2.20 2.26 34 3.00 1.75 2.29 7 1.88 2.00 1.93 14 2.26 2.05 2.18 55
Grade2_score 3.50 4.67 4.20 10 4.33 3.86 4.13 16 4.13 4.00 4.08 25 4.11 4.13 4.12 51
Mean values in bold are significantly higher than the corresponding figure for other sex/regions. #Means are significantly different at the 0.05, 0.01 levels for *, **
4.2.3. Results; Trait preferences by gender & regions
Total (N=739) Upper Egypt (n=339)Lower Egypt (n=300)
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
4.50
5.00
Female Male
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
4.50
5.00
Female Male
4.3.1. Results; Trait rankings by gender & SES groups
SES Low SES Mid SES High
Female Male All sig# f Female Male All sig# f Female Male All sig# f F
N 315 103 418 113 78 191 45 84 129
LengthMedium_score 2.87 2.71 2.82 119 3.27 2.73 2.98 56 3.33 2.36 2.67 ** 48 223
WidthFat 2.89 2.95 2.90 82 3.28 2.70 2.97 * 38 3.00 3.13 3.08 26 146
WidthMedium_score 2.83 2.82 2.83 75 2.42 2.83 2.58 31 2.33 2.75 2.68 19 125
Grade3_score 3.83 3.94 3.87 53 4.13 3.33 3.83 24 4.40 4.17 4.27 11 95
Grade4_score 3.98 4.73 4.11 ** 61 3.29 4.58 4.11 ** 19 4.00 4.10 4.07 15 88
HeadMedium_score 2.65 2.60 2.64 42 2.53 1.90 2.30 27 3.00 2.20 2.33 18 87
TailMedium_score 2.65 2.60 2.64 42 2.53 1.90 2.30 27 3.00 2.20 2.33 18 87
Grade1_score 3.82 4.33 3.97 31 4.09 3.83 4.00 17 4.25 4.22 4.23 13 61
HeadSmall_score 2.16 1.63 2.03 33 3.00 1.71 2.31 * 13 1.75 3.20 2.56 9 55
TailSmall_score 2.16 1.63 2.03 33 3.00 1.71 2.31 * 13 1.75 3.20 2.56 9 55
Grade2_score 4.16 4.44 4.25 28 3.67 4.00 3.87 15 4.67 3.80 4.13 8 51
Mean values in bold are significantly higher than the corresponding figure for other sex/regions. #Means are significantly different at the 0.05, 0.01 levels for *, **
4.3.2. Results: Trait rankings by gender & SES groups
SES Low (n=418) SES Mid (n=191)
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
4.50
5.00
Female Male
Size Grade4
Size Grade2
Size Grade1
Size Grade3
Width Fat
Width Medium
Length Medium
Head Medium
Tail Medium
Head Small
Tail Small
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
4.50
5.00
Female Male
5.1. Results; Benefits of tilapia sizes
โ€˜The best size is 5/kilo to be enough for the whole family. I prefer the fish when it is medium long, I can
fry it easily. The thickness. I like it chunky, the medium size with a lot of meatโ€™ (Married woman from
Lower Egypt).
โ€˜I prefer 6/kilo. It is sufficient for my children. Fat chunky is beautiful and has a nice taste. The medium
size length, for the weight, and the amount should be sufficient to serve the familyโ€™ (Unmarried woman
from Cairo).
โ€˜I do prefer the Tilapia taste, it is beautiful. The best way to cook Tilapia is fried, it has a nice taste. The
medium width, the meat is much better in this width. The longer length, it is also nice. The size should
make three per kilo because it is deliciousโ€™ (Married man from Lower Egypt)
5.2. Results; Benefits of tilapia heads and tails
โ€˜I like 3/kilo is enough for my family. I prefer it medium hard; it is matter of my taste. It looks better when
it has a big head. I prefer it grilled or fried, according to my desireโ€™ (Married woman from Kafr el Sheikh).
โ€˜Medium sized is so tasty, in both frying and grilling. Around 4/kilo is a good size because the meat is
much better. I divide into chunks for my children and some of them like to eat the tail. I like it chunky
because the meat will be tastierโ€™ (Married woman from Kafr el Sheik).
โ€˜The head size is most important for me. I prefer it very small because it is tasty. The chunky one also, it
has a lot of meat. For overall size, my first choice is medium because of the price - 6 / kilo - it is tasty as
well. For length, the medium long one is the best.
5. Implications & next steps?
Lower Egypt
Metropolitan
Upper Egypt
StatedpreferencebywomenStatedpreferencebymen
โ€ข Tilapia trait preferences differ
significantly by location and wealth.
This in terms of women and menโ€™s
preferences for smallest sized tilapia
grades, as well as head and tail
preferences.
โ€ข Respondents suggest this related to
taste, cooking, child feeding and
nutrition and intra-household
allocation of fish parts.
โ€ข However, inconsistency found
between consumption/expenditure
data and stated preferences, raising
interest methodological questions
Smaller Fish Models (Total/Women);
Smaller Tilapia Preference (Total) Smaller Tilapia Preference (Women)
Exp. (B) Std. Err. Sig. Deg. F. Exp (B). Std. Err. Sig.
Control 1.025 0.6769 ** 0.984 0.8989 *
Gender (Male) 0.02 0.3222
Gender (Female) 0a
0a
Education (yrs) -0.024 0.0141 -0.043 0.017 **
Without Children <12yrs -0.85 0.2036 ** -1.108 0.2517 **
Age of Mother -0.137 0.0642 * -0.035 0.0114 **
Household Size -0.137 0.0642 -0.156 0.0773 *
SES Low 0.546 0.2632 * 0.966 0.4694 *
SES Mid 0.376 0.2609 0.572 0.491
SES High 0a
WEFI Income Control score -0.039 0.0238 -0.029 0.0307
WEFI Labour Roles score -0.071 0.0188 ** -0.06 0.0226 **
WEFI leadership score 0.054 0.0132 ** 0.055 0.0164 **
N 739 474
Goodness of fit 0 1.08 0.03
Dependent: SmallerTilapia_score; a. set to zero; #sig at the levels 0.05, 0.01 at *, **
Thank You

More Related Content

Similar to Gendered selection trait preferences for farmed fish in Egypt

Tilwin vassefieldday
Tilwin vassefielddayTilwin vassefieldday
Tilwin vassefieldday
VasseSep2010
ย 
Theme 4: Evaluation of CIP-bred clones for expansion of potato production in ...
Theme 4: Evaluation of CIP-bred clones for expansion of potato production in ...Theme 4: Evaluation of CIP-bred clones for expansion of potato production in ...
Theme 4: Evaluation of CIP-bred clones for expansion of potato production in ...
African Potato Association (APA)
ย 
Crossbreeding for the production of market hogs
Crossbreeding for the production of market hogsCrossbreeding for the production of market hogs
Crossbreeding for the production of market hogs
Deterala Algeron
ย 
Improving the Response to Acute Deterioration in COVID-19 and Beyond
Improving the Response to Acute Deterioration in COVID-19 and BeyondImproving the Response to Acute Deterioration in COVID-19 and Beyond
Improving the Response to Acute Deterioration in COVID-19 and Beyond
Health Catalyst
ย 

Similar to Gendered selection trait preferences for farmed fish in Egypt (20)

STATUS OF FOOD and NUTRITION SECURITY IN FIJI
STATUS OF FOOD and NUTRITION SECURITY IN FIJISTATUS OF FOOD and NUTRITION SECURITY IN FIJI
STATUS OF FOOD and NUTRITION SECURITY IN FIJI
ย 
Monday theme 2 1400 1415 room 11 alvaro
Monday theme 2 1400 1415 room 11 alvaroMonday theme 2 1400 1415 room 11 alvaro
Monday theme 2 1400 1415 room 11 alvaro
ย 
2015 Benchmarking Performance
2015 Benchmarking Performance2015 Benchmarking Performance
2015 Benchmarking Performance
ย 
Evaluation of elite potato clones for drought tolerance in western Uganda
Evaluation of elite potato clones for drought tolerance in western UgandaEvaluation of elite potato clones for drought tolerance in western Uganda
Evaluation of elite potato clones for drought tolerance in western Uganda
ย 
Week 5.docx.pdf
Week 5.docx.pdfWeek 5.docx.pdf
Week 5.docx.pdf
ย 
Reproductive performance of hilly chicken
Reproductive performance of hilly chickenReproductive performance of hilly chicken
Reproductive performance of hilly chicken
ย 
Ed4
Ed4Ed4
Ed4
ย 
Culture, choice and action in legume seeds systems in East and North Uganda
Culture, choice and action in legume seeds systems in East and North UgandaCulture, choice and action in legume seeds systems in East and North Uganda
Culture, choice and action in legume seeds systems in East and North Uganda
ย 
Monday theme 4 1415 1430 small brifing room al-mahmud
Monday theme 4 1415 1430 small brifing room al-mahmudMonday theme 4 1415 1430 small brifing room al-mahmud
Monday theme 4 1415 1430 small brifing room al-mahmud
ย 
Tilwin vassefieldday
Tilwin vassefielddayTilwin vassefieldday
Tilwin vassefieldday
ย 
Theme 4: Evaluation of CIP-bred clones for expansion of potato production in ...
Theme 4: Evaluation of CIP-bred clones for expansion of potato production in ...Theme 4: Evaluation of CIP-bred clones for expansion of potato production in ...
Theme 4: Evaluation of CIP-bred clones for expansion of potato production in ...
ย 
Improving production potential of sorghum and finger millets through genetic ...
Improving production potential of sorghum and finger millets through genetic ...Improving production potential of sorghum and finger millets through genetic ...
Improving production potential of sorghum and finger millets through genetic ...
ย 
Turtle Studium 2010
Turtle Studium 2010Turtle Studium 2010
Turtle Studium 2010
ย 
Economics of nitrogen sources and rates in a long term cropping system
Economics of nitrogen sources and rates in a long term cropping systemEconomics of nitrogen sources and rates in a long term cropping system
Economics of nitrogen sources and rates in a long term cropping system
ย 
Feed restriction on broiler performance
Feed restriction on broiler performanceFeed restriction on broiler performance
Feed restriction on broiler performance
ย 
Crossbreeding for the production of market hogs
Crossbreeding for the production of market hogsCrossbreeding for the production of market hogs
Crossbreeding for the production of market hogs
ย 
Improving the Response to Acute Deterioration in COVID-19 and Beyond
Improving the Response to Acute Deterioration in COVID-19 and BeyondImproving the Response to Acute Deterioration in COVID-19 and Beyond
Improving the Response to Acute Deterioration in COVID-19 and Beyond
ย 
Genetic diversity and association studies of quantitative traits
Genetic diversity and association studies of quantitative traitsGenetic diversity and association studies of quantitative traits
Genetic diversity and association studies of quantitative traits
ย 
Age Pyramids
Age PyramidsAge Pyramids
Age Pyramids
ย 
How Sustainable is the food we eat
How Sustainable is the food we eatHow Sustainable is the food we eat
How Sustainable is the food we eat
ย 

More from CGIAR

More from CGIAR (20)

Gendered youth transitions to adulthood in the Drylands: Implications for tar...
Gendered youth transitions to adulthood in the Drylands: Implications for tar...Gendered youth transitions to adulthood in the Drylands: Implications for tar...
Gendered youth transitions to adulthood in the Drylands: Implications for tar...
ย 
Power through: A new concept in the empowerment discourse
Power through: A new concept in the empowerment discoursePower through: A new concept in the empowerment discourse
Power through: A new concept in the empowerment discourse
ย 
Friends, neighbours and village cereal stockists: hope for non-hybrid seed ac...
Friends, neighbours and village cereal stockists: hope for non-hybrid seed ac...Friends, neighbours and village cereal stockists: hope for non-hybrid seed ac...
Friends, neighbours and village cereal stockists: hope for non-hybrid seed ac...
ย 
Seed security and resilience: Gender perspectives
Seed security and resilience: Gender perspectivesSeed security and resilience: Gender perspectives
Seed security and resilience: Gender perspectives
ย 
Gender dynamics in formal seed systems in Sub-Saharan Africa and worldwide le...
Gender dynamics in formal seed systems in Sub-Saharan Africa and worldwide le...Gender dynamics in formal seed systems in Sub-Saharan Africa and worldwide le...
Gender dynamics in formal seed systems in Sub-Saharan Africa and worldwide le...
ย 
Reflections on gender transformative approaches in agriculture โ€“ The promise ...
Reflections on gender transformative approaches in agriculture โ€“ The promise ...Reflections on gender transformative approaches in agriculture โ€“ The promise ...
Reflections on gender transformative approaches in agriculture โ€“ The promise ...
ย 
Gender differentiation of farmers' knowledge, trait preferences and its impac...
Gender differentiation of farmers' knowledge, trait preferences and its impac...Gender differentiation of farmers' knowledge, trait preferences and its impac...
Gender differentiation of farmers' knowledge, trait preferences and its impac...
ย 
Commodity corridor approach: Facilitating gender integration in development r...
Commodity corridor approach: Facilitating gender integration in development r...Commodity corridor approach: Facilitating gender integration in development r...
Commodity corridor approach: Facilitating gender integration in development r...
ย 
Gender and food systems research: Key lessons from the Canadian International...
Gender and food systems research: Key lessons from the Canadian International...Gender and food systems research: Key lessons from the Canadian International...
Gender and food systems research: Key lessons from the Canadian International...
ย 
Revisiting women's empowerment through a cultural lens
Revisiting women's empowerment through a cultural lensRevisiting women's empowerment through a cultural lens
Revisiting women's empowerment through a cultural lens
ย 
Integrating gender in aquaculture and small scale fisheries agri-food systems...
Integrating gender in aquaculture and small scale fisheries agri-food systems...Integrating gender in aquaculture and small scale fisheries agri-food systems...
Integrating gender in aquaculture and small scale fisheries agri-food systems...
ย 
Learning to work as a farming family team: Farmer responses to a gender-inclu...
Learning to work as a farming family team: Farmer responses to a gender-inclu...Learning to work as a farming family team: Farmer responses to a gender-inclu...
Learning to work as a farming family team: Farmer responses to a gender-inclu...
ย 
Building gender equity from the bottom up in agricultural communities
Building gender equity from the bottom up in agricultural communitiesBuilding gender equity from the bottom up in agricultural communities
Building gender equity from the bottom up in agricultural communities
ย 
The role of paid and unpaid labour on sorghum and finger millet production in...
The role of paid and unpaid labour on sorghum and finger millet production in...The role of paid and unpaid labour on sorghum and finger millet production in...
The role of paid and unpaid labour on sorghum and finger millet production in...
ย 
Scrutinizing the 'feminization of agriculture' hypothesis: trajectories of la...
Scrutinizing the 'feminization of agriculture' hypothesis: trajectories of la...Scrutinizing the 'feminization of agriculture' hypothesis: trajectories of la...
Scrutinizing the 'feminization of agriculture' hypothesis: trajectories of la...
ย 
Rural transformation, empowerment, and agricultural linkages in Nepal
Rural transformation, empowerment, and agricultural linkages in NepalRural transformation, empowerment, and agricultural linkages in Nepal
Rural transformation, empowerment, and agricultural linkages in Nepal
ย 
Intra-household decision-making processes: What the qualitative and quantitat...
Intra-household decision-making processes: What the qualitative and quantitat...Intra-household decision-making processes: What the qualitative and quantitat...
Intra-household decision-making processes: What the qualitative and quantitat...
ย 
Developing measures of freedom of movement for gender studies of agricultural...
Developing measures of freedom of movement for gender studies of agricultural...Developing measures of freedom of movement for gender studies of agricultural...
Developing measures of freedom of movement for gender studies of agricultural...
ย 
Building intellectual bridges and shared agendas / Strategy and example: gend...
Building intellectual bridges and shared agendas / Strategy and example: gend...Building intellectual bridges and shared agendas / Strategy and example: gend...
Building intellectual bridges and shared agendas / Strategy and example: gend...
ย 
Gender-transformative farmer field schools in Honduras
Gender-transformative farmer field schools in HondurasGender-transformative farmer field schools in Honduras
Gender-transformative farmer field schools in Honduras
ย 

Recently uploaded

VVIP Pune Call Girls Moshi WhatSapp Number 8005736733 With Elite Staff And Re...
VVIP Pune Call Girls Moshi WhatSapp Number 8005736733 With Elite Staff And Re...VVIP Pune Call Girls Moshi WhatSapp Number 8005736733 With Elite Staff And Re...
VVIP Pune Call Girls Moshi WhatSapp Number 8005736733 With Elite Staff And Re...
SUHANI PANDEY
ย 
VVIP Pune Call Girls Vishal Nagar WhatSapp Number 8005736733 With Elite Staff...
VVIP Pune Call Girls Vishal Nagar WhatSapp Number 8005736733 With Elite Staff...VVIP Pune Call Girls Vishal Nagar WhatSapp Number 8005736733 With Elite Staff...
VVIP Pune Call Girls Vishal Nagar WhatSapp Number 8005736733 With Elite Staff...
SUHANI PANDEY
ย 
VIP Call Girls Valsad 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Valsad 7001035870 Whatsapp Number, 24/07 BookingVIP Call Girls Valsad 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Valsad 7001035870 Whatsapp Number, 24/07 Booking
dharasingh5698
ย 
Call Girls Service Pune โ‚น7.5k Pick Up & Drop With Cash Payment 8005736733 Cal...
Call Girls Service Pune โ‚น7.5k Pick Up & Drop With Cash Payment 8005736733 Cal...Call Girls Service Pune โ‚น7.5k Pick Up & Drop With Cash Payment 8005736733 Cal...
Call Girls Service Pune โ‚น7.5k Pick Up & Drop With Cash Payment 8005736733 Cal...
SUHANI PANDEY
ย 
Environmental Science - Nuclear Hazards and Us.pptx
Environmental Science - Nuclear Hazards and Us.pptxEnvironmental Science - Nuclear Hazards and Us.pptx
Environmental Science - Nuclear Hazards and Us.pptx
hossanmdjobayer103
ย 
VIP Model Call Girls Chakan ( Pune ) Call ON 8005736733 Starting From 5K to 2...
VIP Model Call Girls Chakan ( Pune ) Call ON 8005736733 Starting From 5K to 2...VIP Model Call Girls Chakan ( Pune ) Call ON 8005736733 Starting From 5K to 2...
VIP Model Call Girls Chakan ( Pune ) Call ON 8005736733 Starting From 5K to 2...
SUHANI PANDEY
ย 
VVIP Pune Call Girls Wagholi WhatSapp Number 8005736733 With Elite Staff And ...
VVIP Pune Call Girls Wagholi WhatSapp Number 8005736733 With Elite Staff And ...VVIP Pune Call Girls Wagholi WhatSapp Number 8005736733 With Elite Staff And ...
VVIP Pune Call Girls Wagholi WhatSapp Number 8005736733 With Elite Staff And ...
SUHANI PANDEY
ย 
VIP Model Call Girls Viman Nagar ( Pune ) Call ON 8005736733 Starting From 5K...
VIP Model Call Girls Viman Nagar ( Pune ) Call ON 8005736733 Starting From 5K...VIP Model Call Girls Viman Nagar ( Pune ) Call ON 8005736733 Starting From 5K...
VIP Model Call Girls Viman Nagar ( Pune ) Call ON 8005736733 Starting From 5K...
SUHANI PANDEY
ย 

Recently uploaded (20)

Call Girls in Sakinaka Agency, { 9892124323 } Mumbai Vashi Call Girls Serivce...
Call Girls in Sakinaka Agency, { 9892124323 } Mumbai Vashi Call Girls Serivce...Call Girls in Sakinaka Agency, { 9892124323 } Mumbai Vashi Call Girls Serivce...
Call Girls in Sakinaka Agency, { 9892124323 } Mumbai Vashi Call Girls Serivce...
ย 
Call Girls Talegaon Dabhade Call Me 7737669865 Budget Friendly No Advance Boo...
Call Girls Talegaon Dabhade Call Me 7737669865 Budget Friendly No Advance Boo...Call Girls Talegaon Dabhade Call Me 7737669865 Budget Friendly No Advance Boo...
Call Girls Talegaon Dabhade Call Me 7737669865 Budget Friendly No Advance Boo...
ย 
VVIP Pune Call Girls Moshi WhatSapp Number 8005736733 With Elite Staff And Re...
VVIP Pune Call Girls Moshi WhatSapp Number 8005736733 With Elite Staff And Re...VVIP Pune Call Girls Moshi WhatSapp Number 8005736733 With Elite Staff And Re...
VVIP Pune Call Girls Moshi WhatSapp Number 8005736733 With Elite Staff And Re...
ย 
Presentation: Farmer-led climate adaptation - Project launch and overview by ...
Presentation: Farmer-led climate adaptation - Project launch and overview by ...Presentation: Farmer-led climate adaptation - Project launch and overview by ...
Presentation: Farmer-led climate adaptation - Project launch and overview by ...
ย 
VVIP Pune Call Girls Vishal Nagar WhatSapp Number 8005736733 With Elite Staff...
VVIP Pune Call Girls Vishal Nagar WhatSapp Number 8005736733 With Elite Staff...VVIP Pune Call Girls Vishal Nagar WhatSapp Number 8005736733 With Elite Staff...
VVIP Pune Call Girls Vishal Nagar WhatSapp Number 8005736733 With Elite Staff...
ย 
Call Girls Moshi Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Moshi Call Me 7737669865 Budget Friendly No Advance BookingCall Girls Moshi Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Moshi Call Me 7737669865 Budget Friendly No Advance Booking
ย 
CSR_Tested activities in the classroom -EN
CSR_Tested activities in the classroom -ENCSR_Tested activities in the classroom -EN
CSR_Tested activities in the classroom -EN
ย 
VIP Call Girls Valsad 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Valsad 7001035870 Whatsapp Number, 24/07 BookingVIP Call Girls Valsad 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Valsad 7001035870 Whatsapp Number, 24/07 Booking
ย 
CSR_Module5_Green Earth Initiative, Tree Planting Day
CSR_Module5_Green Earth Initiative, Tree Planting DayCSR_Module5_Green Earth Initiative, Tree Planting Day
CSR_Module5_Green Earth Initiative, Tree Planting Day
ย 
Call Girls Service Pune โ‚น7.5k Pick Up & Drop With Cash Payment 8005736733 Cal...
Call Girls Service Pune โ‚น7.5k Pick Up & Drop With Cash Payment 8005736733 Cal...Call Girls Service Pune โ‚น7.5k Pick Up & Drop With Cash Payment 8005736733 Cal...
Call Girls Service Pune โ‚น7.5k Pick Up & Drop With Cash Payment 8005736733 Cal...
ย 
Cheap Call Girls in Dubai %(+971524965298 )# Dubai Call Girl Service By Rus...
Cheap Call Girls  in Dubai %(+971524965298 )#  Dubai Call Girl Service By Rus...Cheap Call Girls  in Dubai %(+971524965298 )#  Dubai Call Girl Service By Rus...
Cheap Call Girls in Dubai %(+971524965298 )# Dubai Call Girl Service By Rus...
ย 
Environmental Science - Nuclear Hazards and Us.pptx
Environmental Science - Nuclear Hazards and Us.pptxEnvironmental Science - Nuclear Hazards and Us.pptx
Environmental Science - Nuclear Hazards and Us.pptx
ย 
(INDIRA) Call Girl Katra Call Now 8617697112 Katra Escorts 24x7
(INDIRA) Call Girl Katra Call Now 8617697112 Katra Escorts 24x7(INDIRA) Call Girl Katra Call Now 8617697112 Katra Escorts 24x7
(INDIRA) Call Girl Katra Call Now 8617697112 Katra Escorts 24x7
ย 
Kondhwa ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For ...
Kondhwa ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready For ...Kondhwa ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready For ...
Kondhwa ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For ...
ย 
RATING SYSTEMS- IGBC, GRIHA, LEED--.pptx
RATING  SYSTEMS- IGBC, GRIHA, LEED--.pptxRATING  SYSTEMS- IGBC, GRIHA, LEED--.pptx
RATING SYSTEMS- IGBC, GRIHA, LEED--.pptx
ย 
VIP Model Call Girls Chakan ( Pune ) Call ON 8005736733 Starting From 5K to 2...
VIP Model Call Girls Chakan ( Pune ) Call ON 8005736733 Starting From 5K to 2...VIP Model Call Girls Chakan ( Pune ) Call ON 8005736733 Starting From 5K to 2...
VIP Model Call Girls Chakan ( Pune ) Call ON 8005736733 Starting From 5K to 2...
ย 
VVIP Pune Call Girls Wagholi WhatSapp Number 8005736733 With Elite Staff And ...
VVIP Pune Call Girls Wagholi WhatSapp Number 8005736733 With Elite Staff And ...VVIP Pune Call Girls Wagholi WhatSapp Number 8005736733 With Elite Staff And ...
VVIP Pune Call Girls Wagholi WhatSapp Number 8005736733 With Elite Staff And ...
ย 
Proposed Amendments to Chapter 15, Article X: Wetland Conservation Areas
Proposed Amendments to Chapter 15, Article X: Wetland Conservation AreasProposed Amendments to Chapter 15, Article X: Wetland Conservation Areas
Proposed Amendments to Chapter 15, Article X: Wetland Conservation Areas
ย 
VIP Model Call Girls Viman Nagar ( Pune ) Call ON 8005736733 Starting From 5K...
VIP Model Call Girls Viman Nagar ( Pune ) Call ON 8005736733 Starting From 5K...VIP Model Call Girls Viman Nagar ( Pune ) Call ON 8005736733 Starting From 5K...
VIP Model Call Girls Viman Nagar ( Pune ) Call ON 8005736733 Starting From 5K...
ย 
Call Girls Magarpatta Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Magarpatta Call Me 7737669865 Budget Friendly No Advance BookingCall Girls Magarpatta Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Magarpatta Call Me 7737669865 Budget Friendly No Advance Booking
ย 

Gendered selection trait preferences for farmed fish in Egypt

  • 1. Gendered Selection Trait Preferences for Farmed Fish in Egypt S. Murphy, H. Karisa, S. Rajaratnam, C. McDougall, S. Cole A. Nasr- Allah, D, Kenawy; M. van Brakel; s.murphy@cgiar.org
  • 2. In this Presentation 1. Introduction; Tilapia supply & demand 2. Mixed Methods; Tools & sampling 3. Results; Tilapia consumption 4. Results; Tilapia trait preferences 5. Results; Mealtime behaviour 6. Implications & what next?
  • 3. 1.1. National Aquaculture Production Aquaculture production (2016/MT) (00โ€“16โ€™; MT; source GAFRD, 2016) 340093 1370660 0 200000 400000 600000 800000 1000000 1200000 1400000 1600000 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Aquaculture Production
  • 4. 1.2. Tilapia markets and price trends (00โ€“16โ€™; EGP/kg; source el-Obour Auction House)
  • 5. 2.1. Mixed Methods Q. 11. Please rank your top Tilapia trait preferences #Top Traits (*10 > *1) #Top Trait Attributes (*5 > *1) 11. 1 Size Grade 1 Grade 2 Grade 3 Grade 4 11.2 Body Length Long Medium Short Stumpy 11.3 Body Width Fat Medium Slim Skinny 11.4 Head Size Large head Medium Small head Very small 11.6 Tail Size Large tail Medium tail Small tail Very small tail 11.6 Fillet Ratio We love bones We like bones Bones okay Dislike bones
  • 6. 3.1. Results; Sample characteristics N 739 Education % Women with no formal education 31.2% Women > primary level education 47.6% Men with no formal education 18.4% Men > primary level education 58.7% Employment Women with paid employment 5.7% Men with paid employment 90.3% Food ration card holders HH head receiving support 10.7% Household size (ฮผ 4.5 ยฑ 1.51) 1 โ€“ 3 25.1% 4 โ€“ 6 63.1% 7 โ€“ 11 11.9% Gender Female 474 Male 285
  • 7. 3.2. Results; Weekly fish expenditure by location Fish Expenditure during the past 7 days (Kg & EGP) Metro Lower Egypt Upper Egypt Cairo Sharkia Kafr Beheira Total Fayoum Menia Aswan Total Total N 100 100 100 100 300 110 120 120 349 739 % of fish-consuming HHs 39% 83% 82% 70% 75.9% 52.7% 10% 11.8% 24.4% 49.78% Tilapia 89.7 77.1 86.6 85.7 83.7 74.1 91.7 100 81.4 83.7 Lizardfish 2.6 2.4 4.9 2.9 3.3 24.1 0 0 16.1 9.4 Mackerel 0 3.6 6.1 7.1 6 5.2 0 0 3.4 3.6 Mullets 5.1 1.2 8.5 1.4 3.2 0 0 0 0 2 Catfish 5.1 0 0 2.9 1.4 1.7 8.3 0 2.5 2.6 Kg bought by fish-consuming HHs: Mean qnt bought (kg) 1.6 1.7 1.7 1.3 1.5 1.8 2 2.3 1.9 1.7 Mean monthly food exp. 530.1 530.0 584.5 482.8 577.7 589.7 628.5 562.4 Food exp./Total exp. 45.7% 45.9% 37.7% 37.9% 54.3% 59.9% 56.4% 46.4%
  • 8. 3.3. Results; Weekly fish expenditure by region Lower Egypt Metropolitan Upper Egypt Cost of weekly fish purchase (EGP)
  • 9. 4.1. Results; Priority tilapia traits by gender & regions Lower Egypt Metropolitan Upper Egypt Total Female Male All sig. Female Male All sig. Female Male All sig. Female Male All sig. All/ Region N 198 102 300 53 47 100 223 116 339 474 265 739 Carcass Size 7.77 8.26 7.94 8.49 8.38 8.44 8.33 8.23 8.30 8.12 8.27 8.17 Body Length 6.22 6.84 6.43 * 6.45 6.85 6.64 6.53 6.68 6.58 6.39 6.77 6.53 * Body Width 6.44 6.77 6.55 7.17 6.32 6.77 * 6.47 6.68 6.54 6.53 6.65 6.58 Head Size 5.42 4.75 5.19 ** 4.57 4.04 4.32 4.20 4.04 4.15 4.75 4.31 4.60 ** ** Tail Size 3.64 3.71 3.66 3.09 3.34 3.21 3.71 3.49 3.63 3.61 3.55 3.59 * Bone/Fillet Ratio 2.00 1.93 1.98 2.55 2.36 2.46 3.54 3.24 3.44 2.78 2.58 2.71 ** Mean values in bold are significantly higher than the corresponding figure for other sex/regions. #Means are significantly different at the 0.05, 0.01 levels for *, **
  • 10. 4.2.1. Methods for scoring trait attributes (*5/24 โ€“ f/739) Q. 11. Please rank your top Tilapia trait preferences #Top Traits (*10 > *1) #Top Trait Attributes (*5 > *1) 11. 1 Size Grade 1 Grade 2 Grade 3 Grade 4 11.2 Body Length Long Medium Short Stumpy 11.3 Body Width Fat Medium Slim Skinny 11.4 Head Size Large head Medium Small head Very small 11.6 Tail Size Large tail Medium tail Small tail Very small tail 11.6 Fillet Ratio We love bones We like bones Bones okay Dislike bones
  • 11. 4.2.2. Results; Trait rankings by gender & region Lower Egypt Metropolitan Upper Egypt Total Female Male All sig# F Female Male All sig# F Female Male All sig# F Female Male All sig# (All/ Region) F N 198 102 300 53 47 100 223 116 339 474 265 739 LengthMedium_score 2.88 2.48 2.73 83 2.62 2.50 2.56 41 3.28 2.72 3.02 * 99 3.01 2.60 2.83 ** 223 WidthFat_score 2.76 3.26 2.92 * 60 2.70 2.10 2.40 20 3.28 2.96 3.15 66 2.98 2.91 2.95 ** 146 WidthMedium_score 2.58 2.65 2.60 43 2.56 2.73 2.63 27 2.88 2.95 2.91 55 2.71 2.80 2.74 125 Grade4_score 3.46 4.64 3.74 * 46 4.25 3.75 4.00 8 4.52 4.56 4.54 41 3.90 4.48 4.11 ** ** 95 Grade3_score 3.68 3.80 3.73 40 3.25 4.00 3.59 22 4.79 3.57 4.46 ** 26 3.96 3.81 3.91 * 88 HeadMedium_score 2.64 2.33 2.56 48 3.50 1.40 2.33 * 9 2.41 2.31 2.37 30 2.63 2.17 2.47 87 TailMedium_score 2.64 2.33 2.56 48 3.50 1.40 2.33 * 9 2.41 2.31 2.37 30 2.63 2.17 2.47 87 Grade1_score 4.08 4.13 4.10 21 3.50 4.00 3.57 7 4.00 4.20 4.09 33 3.95 4.17 4.03 61 HeadSmall_score 2.29 2.20 2.26 34 3.00 1.75 2.29 7 1.88 2.00 1.93 14 2.26 2.05 2.18 55 TailSmall_score 2.29 2.20 2.26 34 3.00 1.75 2.29 7 1.88 2.00 1.93 14 2.26 2.05 2.18 55 Grade2_score 3.50 4.67 4.20 10 4.33 3.86 4.13 16 4.13 4.00 4.08 25 4.11 4.13 4.12 51 Mean values in bold are significantly higher than the corresponding figure for other sex/regions. #Means are significantly different at the 0.05, 0.01 levels for *, **
  • 12. 4.2.3. Results; Trait preferences by gender & regions Total (N=739) Upper Egypt (n=339)Lower Egypt (n=300) 0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50 4.00 4.50 5.00 Female Male 0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50 4.00 4.50 5.00 Female Male
  • 13. 4.3.1. Results; Trait rankings by gender & SES groups SES Low SES Mid SES High Female Male All sig# f Female Male All sig# f Female Male All sig# f F N 315 103 418 113 78 191 45 84 129 LengthMedium_score 2.87 2.71 2.82 119 3.27 2.73 2.98 56 3.33 2.36 2.67 ** 48 223 WidthFat 2.89 2.95 2.90 82 3.28 2.70 2.97 * 38 3.00 3.13 3.08 26 146 WidthMedium_score 2.83 2.82 2.83 75 2.42 2.83 2.58 31 2.33 2.75 2.68 19 125 Grade3_score 3.83 3.94 3.87 53 4.13 3.33 3.83 24 4.40 4.17 4.27 11 95 Grade4_score 3.98 4.73 4.11 ** 61 3.29 4.58 4.11 ** 19 4.00 4.10 4.07 15 88 HeadMedium_score 2.65 2.60 2.64 42 2.53 1.90 2.30 27 3.00 2.20 2.33 18 87 TailMedium_score 2.65 2.60 2.64 42 2.53 1.90 2.30 27 3.00 2.20 2.33 18 87 Grade1_score 3.82 4.33 3.97 31 4.09 3.83 4.00 17 4.25 4.22 4.23 13 61 HeadSmall_score 2.16 1.63 2.03 33 3.00 1.71 2.31 * 13 1.75 3.20 2.56 9 55 TailSmall_score 2.16 1.63 2.03 33 3.00 1.71 2.31 * 13 1.75 3.20 2.56 9 55 Grade2_score 4.16 4.44 4.25 28 3.67 4.00 3.87 15 4.67 3.80 4.13 8 51 Mean values in bold are significantly higher than the corresponding figure for other sex/regions. #Means are significantly different at the 0.05, 0.01 levels for *, **
  • 14. 4.3.2. Results: Trait rankings by gender & SES groups SES Low (n=418) SES Mid (n=191) 0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50 4.00 4.50 5.00 Female Male Size Grade4 Size Grade2 Size Grade1 Size Grade3 Width Fat Width Medium Length Medium Head Medium Tail Medium Head Small Tail Small 0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50 4.00 4.50 5.00 Female Male
  • 15. 5.1. Results; Benefits of tilapia sizes โ€˜The best size is 5/kilo to be enough for the whole family. I prefer the fish when it is medium long, I can fry it easily. The thickness. I like it chunky, the medium size with a lot of meatโ€™ (Married woman from Lower Egypt). โ€˜I prefer 6/kilo. It is sufficient for my children. Fat chunky is beautiful and has a nice taste. The medium size length, for the weight, and the amount should be sufficient to serve the familyโ€™ (Unmarried woman from Cairo). โ€˜I do prefer the Tilapia taste, it is beautiful. The best way to cook Tilapia is fried, it has a nice taste. The medium width, the meat is much better in this width. The longer length, it is also nice. The size should make three per kilo because it is deliciousโ€™ (Married man from Lower Egypt)
  • 16. 5.2. Results; Benefits of tilapia heads and tails โ€˜I like 3/kilo is enough for my family. I prefer it medium hard; it is matter of my taste. It looks better when it has a big head. I prefer it grilled or fried, according to my desireโ€™ (Married woman from Kafr el Sheikh). โ€˜Medium sized is so tasty, in both frying and grilling. Around 4/kilo is a good size because the meat is much better. I divide into chunks for my children and some of them like to eat the tail. I like it chunky because the meat will be tastierโ€™ (Married woman from Kafr el Sheik). โ€˜The head size is most important for me. I prefer it very small because it is tasty. The chunky one also, it has a lot of meat. For overall size, my first choice is medium because of the price - 6 / kilo - it is tasty as well. For length, the medium long one is the best.
  • 17. 5. Implications & next steps? Lower Egypt Metropolitan Upper Egypt StatedpreferencebywomenStatedpreferencebymen โ€ข Tilapia trait preferences differ significantly by location and wealth. This in terms of women and menโ€™s preferences for smallest sized tilapia grades, as well as head and tail preferences. โ€ข Respondents suggest this related to taste, cooking, child feeding and nutrition and intra-household allocation of fish parts. โ€ข However, inconsistency found between consumption/expenditure data and stated preferences, raising interest methodological questions
  • 18. Smaller Fish Models (Total/Women); Smaller Tilapia Preference (Total) Smaller Tilapia Preference (Women) Exp. (B) Std. Err. Sig. Deg. F. Exp (B). Std. Err. Sig. Control 1.025 0.6769 ** 0.984 0.8989 * Gender (Male) 0.02 0.3222 Gender (Female) 0a 0a Education (yrs) -0.024 0.0141 -0.043 0.017 ** Without Children <12yrs -0.85 0.2036 ** -1.108 0.2517 ** Age of Mother -0.137 0.0642 * -0.035 0.0114 ** Household Size -0.137 0.0642 -0.156 0.0773 * SES Low 0.546 0.2632 * 0.966 0.4694 * SES Mid 0.376 0.2609 0.572 0.491 SES High 0a WEFI Income Control score -0.039 0.0238 -0.029 0.0307 WEFI Labour Roles score -0.071 0.0188 ** -0.06 0.0226 ** WEFI leadership score 0.054 0.0132 ** 0.055 0.0164 ** N 739 474 Goodness of fit 0 1.08 0.03 Dependent: SmallerTilapia_score; a. set to zero; #sig at the levels 0.05, 0.01 at *, **

Editor's Notes

  1. Egypt is Africaโ€™s largest tilapia producer and third largest in the world. Since 2013, the release of a genetically improved strain has contributed to accelerating growth in national yield. Subsequent rises in capita fish supply has meant farmed tilapia offers the cheapest animal source protein to Egyptian consumer markets. Overall the aquaculture sector (1,370,660mt) contributes 90.2% of the countryโ€™s national fish production (and 76.3% of fish supply). Experiencing most significant growth, tilapia aquaculture (940,309mt) now accounts for 68.6% of total aquaculture output (52% of fish supply). As a result of supply growth, farmed tilapia now offers the cheapest animal source protein to Egyptian consumers.
  2. Some words of caution from recent value chain and consumption studies: Adoption of improved breeds and market dynamics leading farmers to target higher income consumers by harvesting larger sized (or larger grades of tilapia). High food price inflation since 2010 has seen poorer households reduce meat intake. Figures above here from el-Obour auction house show shift in tilapia markets. For instance, between 2011 and 2016, the price of grade I tilapia increased by only 27.4%, while the price of grade III increased by 58.5%. Similar findings from local retail markets and rural distribution centres Worth noting also significant spatial disparities in fish affordability and availability between fish farming non-fish farming areas. The large majority of Egyptโ€™s tilapia farms are located in the Lower Delta โ€“ approx. 6,000 registered farms located around lakes Manzala and Borrullus stretching across area of only 120,000 hectares. Elsewhere, like in Upper Egypt, consumer markets rely on declining capture resources. So whats our research problem? This study addresses two questions: What are the current patterns of tilapia consumption among lower-income households, and do these differ by location, wealth, or household characteristics? What tilapia trait attributes do lower-income consumers prefer, and do these differ by sex, wealth or location of consumer?
  3. Mixed methods: Structured questionnaire for a kind of household budgeting, looking at monthly food and non-food expenditures, weekly fish expenditures in terms of species and grade or quality of fish product bought in last 7 days, and then focusing on tilapia trait preferences specifically asked consumers to rank their priority traits and associated trait attributes. The trait lists (trait dictionaries) were developed in collaboration with the breeding team at the Abbassa Research Centre, where gen 15 is currently being selected for. We used semi-structured interviews to prompt discussions of emerging themes around qualitative benefits of tilapia traits, including personal diets, taste, cooking, child feeding and nutrition, and family portions. The survey aloes applied a wefi questionnaire around 5 domains pre-tested in Egypt to look at household norms and relations. And final we conducted 24 hour recalls with mothers and children from each household to collect food diversity scores and BMI. What we are presenting today focuses a little on consumption patterns, tilapia trait rankings and records of mealtime behavior.
  4. Basic socioeconomic characteristics of the 739 households surveyed are presented in Table 2. The household size was 4.5 ยฑ 1.5. More than 60% of respondents were unemployed, though employment status was heavily skewed between women (94.1%) and men (9.7%). While 5% of households reported having no employed family members, 88% reported having one employed household member and 6.1% having more than two . More women (30.2%) than men (18.4%) reported never receiving education, while more men (58.7%) than women (47.6%) reported receiving higher than primary level formal education. The number of years of education received by women was 6.9 ยฑ 5.3 (ยฑ .243) compared to 8.3 ยฑ 5.2 (ยฑ .319) years of education received by men.
  5. The total monthly household income was 1132.6 EGP ยฑ 487 (ยฑ 17.9). The total monthly household food expenditure was 562.4 EGP ยฑ 259 (ยฑ 9.5), representing an average 49.7% of household budget. The share of food expenditures to total household expenditures is shown above. According to 2013 census (CAPMAS, 2014) These figures are stand national average recorded among the lowest income quintile. A total of 357 households reported buying fish in the previous week, representing 49.7% of the sample. However, significant differences found between regions and governorates. By governorates, only 10% of households in Menia and 11.8% of households in Aswan reported buying. By region, only 24.4% of households in Upper Egypt bought fish compared to 75.9% of households in Lower Egypt According to 7-day recalls, tilapia was by far the most popular fish. Two hundred and ninety-seven households bought tilapia, representing 40.1% of all households and 83.7% of fish-consuming households. The next most popular fish was lizardfish (Synodus variegatus), which was purchased by 33 households. In Aswan, all households reported purchasing tilapia only.
  6. Significant spatial disparity
  7. Explain trait attribute scoring and means denominator of f - 5/24
  8. Across all sub-sample groups, greater heterogeneity in gender-differentiated preferences was observed by location between Upper, Lower and metropolitan Egypt. This was observed categories with thicker body traits and smaller sized grades. In Upper there was more significant differences between women and men, with women reporting stronger preference for grade III. Women reported stronger preference for tail and head traits. This was statistically significant both Lower Egypt and Cairo. Although there was no significant difference observed, men across all location reported higher preference for larger sizes grade I and II. Explain f as vote counts used as dominator for means. Limiting our observations to significant sample sizes, we
  9. During interviews, purchasing reasons given by women and men differed with regard to child feeding and market access most significantly. Discussions also indicated that decisions were made based on overlapping factors and other issues including taste and cooking needs. A 26 year old, married woman from Kafr el Sheikh, who lives in her two roomed house with her two young school-going children, explains her choice of tilapia. When buying from the market she prefers much smaller sized products in terms of both length, width and overall size. She relates this to distribution between her family members and ease of cooking. Surprisingly, though, her characterisation of size preferences does not reflect her stated preferences for grade II sizes (250 โ€“ 375kg). This raises some follow-up questions regarding her stated width and length preferences also. An unmarried, forty-year old woman, from Cairo, has three children who are attending a local public primary school. She is without any years of formal education and is current unemployed. She relies on the use of her food ration card regularly and indicates she consumes bread, eggs and vegetables most often and occasionally dairy. She buys tilapia from outside here nearby retail market, where street vendors operate. She states preferences for grade III, but also indicates preference for bigger species such as mullet. Talking in depth about tilapia expenditures and her market choices, she suggest her household have needs for even smaller sizes, which she relates first to brain development, second high nutrients, and third good family meal. Men more frequently citing โ€˜tasteโ€™, often related this to other morphometric preferences. A 22 year man from Kafr el Sheikh, lives with his and four children. He was educated until third grade of primary. He and his wife both work and earn a monthly salary of 600EGP, half that of the governorate average. He reports his family ate tilapia more regularly than other meats and that tilapia is his householdโ€™s favourite tasting fish. In the previous week, they purchased one kilo of Nile tilapia for a cost of 25EGP. He explains,
  10. A married woman from Kafr lives in 2 roomed house, with her two children and husband. Both earned salary, monthly total of 1700EGP. Their favourite species is tilapia, which she like to purchase whole fresh or alive if available. Tilapia is her preferred choice of meat because she believes it is nutritious for her children, citing brain development and family portions first during her interview. When asked to describe the size and look of the fish she buys, she explainsโ€ฆ. An employed married woman from Kafr el Sheikh has two children who attend a public primary school. Satisfying her childrenโ€™s needs are priority. A woman interviewed in Fayoum, Upper Egypt, reports a higher than average household income of 1700 per month, which they mainly sourced from farming. Her household did not purchase fish in the previous week. When they do, she prefers to buy grade IV tilapia, which she also chooses based on the size and shape of its head.
  11. Significant heterogeneity was observed for more trait preferences across groups of different gender-equity status (WEFI Low, Mid, High) than across groups of different socioeconomic status categories (SES Low, Mid, High). Using trait preference scores, poisson regression analysis was used as a means of assessing direction, intensity and expected preferences for these gender-responsive traits. Predictors were selected from variables that significantly correlated with traits showing significant heterogeneity between women and men. Two regression models were run on SmallerTilapia preferences of all respondents and SmallerTilapia preferences of women to test associations with gender, education, presence of children, age of mother, household size, socioeconomic status, and three WEFI indicators of womenโ€™s income control, labour roles and leadership within the household. Models showed goodness of fit, with low dispersions (0.985 ยฑ 1.083). Testing for SmallerTilapia preferences (P<0.01), model found positive associations with presence of young children (P<0.01). In addition, positive association was observed with womenโ€™s leadership scores (P<0.01). Looking at womenโ€™s preferences separately, these associations were more significant. ย  However, it also points to negative associations with household size, age of mothers and labour roles. This suggests further contextualisation is needed, in particular about gender roles in market preferences and mealtime behaviour. Next slideโ€ฆ