Why Gender Matters in Breeding: Lessons from Cooking Bananas in Uganda
Abstract
:1. Introduction
- (1)
- Identify the cooking banana varieties preferred by women and men banana farmers and consumers and the desired traits associated with such varieties.
- (2)
- Analyse traits that influence the acceptability of cooking banana varieties by women and men banana farmers and consumers.
- (3)
- Evaluate the selected promising banana genotypes for acceptability by women and men consumers.
2. Materials and Methods
2.1. Study Area
2.2. Research Design
2.3. Study Population, Sampling Procedure and Sample Size
2.4. Data Collection Methods
2.5. Data Processing and Analysis
3. Results and Discussion
3.1. Sample Characteristics
3.2. Preferences for Cooking Banana (Matooke) Varieties
3.2.1. Scenario 1: Gender-Blind Results for Farmer Preferences for Cooking Banana Varieties
3.2.2. Scenario 2: Gender-Differentiated Results for Farmer Preferences for Cooking Banana Varieties
3.3. Most Important Attributes for Matooke Hybrids
3.3.1. Scenario 1: Gender-Blind Results for Analysis of the Most Important Attributes
3.3.2. Scenario 2: Gender-Differentiated Results for Analysis of the Most Important Attributes
3.4. Traits Influencing the Acceptability of Cooking Banana Varieties by Women and Men Farmers and Consumers
3.4.1. Scenario 1: Gender-Blind Results for Traits Influencing Acceptability
3.4.2. Scenario 2: Gender-Differentiated Results for Traits Influencing Acceptability
3.5. Assessment of Quality Traits Based on Sensory Evaluation Data Using the Gender-Blind and Gender-Differentiated Scenarios
4. Conclusions and Implications
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Individual and Household-Level Variables | Scenario I: Gender Blind | Scenario II: Sex Disaggregated | ||
---|---|---|---|---|
Pooled Sample (N = 174) | Women (N = 87) | Men (N = 87) | t-Test | |
Age (years) | 46.57 (16.49) | 45.18 (13.47) | 47.97 (19.00) | 1.1132 (0.1336) |
Education (years of schooling) | 7.22 (3.61) | 6.50 (3.50) | 7.94 (3.58) | 2.6750 (0.0041) |
Average household size (number of people) | 7.24 (3.53) | 7.52 (3.86) | 7.09 (3.35) | −0.5383 (0.7041) |
Household type (%) | ||||
Dual (male and female spouse) | 81.05 | 61.17 | 94.08 | |
Female headed with another adult male decision maker | 11.79 | 29.79 | 0.00 | |
Male headed with another adult female decision maker | 0.84 | 0.00 | 1.39 | |
Female headed, without any adult male decision maker | 2.53 | 5.85 | 0.35 | |
Male headed with more than one wife | 3.79 | 3.19 | 4.18 | |
Main occupation (%) | ||||
Farming | 88.04 | 88.89 | 87.5 | |
Non-farm employment | 8.70 | 8.33 | 8.93 | |
None | 3.26 | 2.78 | 3.57 | |
Land access and utilisation by the household (acres) | ||||
Land owned | 6.75 (20.55) | 4.91 (4.19) | 7.92 (26.06) | 0.6860 (0.2472) |
Land rented | 0.63 (1.38) | 0.63 (1.37) | 0.62 (1.39) | −0.0310 (0.5123) |
Total land accessed | 7.38 (20.51) | 5.54 (4.22) | 8.54 (26.00) | 0.6855 (0.2474) |
Allocated to crop production | 4.64 (5.03) | 4.09 (2.69) | 4.99 (6.5) | 0.8420 (0.2010) |
Allocated to banana production | 1.38 (1.87) | 1.50 (1.44) | 1.32 (2.11) | −0.4616 (0.6773) |
Number of plots cultivated | 3.94 (1.78) | 4.11 (1.75) | 3.84 (1.80) | −0.7089 (0.7599) |
Main decision maker on marketable banana varieties (%) | ||||
Husband | 25.28 | 14.94 | 35.63 | |
Wife | 32.76 | 45.98 | 19.54 | |
Jointly husband and wife | 37.93 | 37.93 | 37.93 | |
Daughter | 1.15 | 1.15 | 1.15 | |
Other male household member | 0.57 | 0.00 | 1.15 | |
Other female household member | 2.3 | 0.00 | 4.60 | |
Main decision maker on consumption varieties (%) | ||||
Husband | 20.68 | 14.94 | 26.44 | |
Wife | 34.48 | 50.57 | 18.39 | |
Jointly husband and wife | 39.66 | 32.18 | 47.13 | |
Daughter | 1.72 | 1.15 | 2.30 | |
Other male household member | 1.15 | 1.15 | 1.15 | |
Other female household member | 2.30 | 0.00 | 4.60 | |
Grows matooke hybrids (%) | 14.45 | 16.09 | 12.79 | |
Number of years growing hybrids | 5.24 (4.12) | 5.93 (4.80) | 4.36 (3.04) | −0.9415 (0.8219) |
Variable | Pooled Sample (N = 58) | Women (N = 39) | Men (N = 19) |
---|---|---|---|
Sex (%) | - | 67.24 | 32.76 |
Age (years) | 46.79 | 46.87 | 46.63 |
Level of education (%) | |||
Upper primary | 34.48 | 38.46 | 26.32 |
Secondary | 31.03 | 23.08 | 47.37 |
Tertiary (college/university) | 25.86 | 25.64 | 26.32 |
None | 3.45 | 5.13 | 0 |
Lower primary | 5.17 | 7.69 | 0 |
Marital status (%) | |||
Married | 56.90 | 51.28 | 68.42 |
Separated/divorced | 18.97 | 17.95 | 21.05 |
Widowed | 15.52 | 20.51 | 5.26 |
Single | 8.62 | 10.26 | 5.26 |
Primary source of income (%) | |||
Farming | 91.38 | 92.31 | 89.47 |
Teacher | 3.45 | 2.56 | 5.26 |
Business | 3.45 | 5.13 | 0.00 |
Driver | 1.72 | 0.00 | 5.26 |
Most Important Attribute | Percentage of Responses (%) | ||
---|---|---|---|
Scenario I: Gender Blind | Scenario II: Sex-Disaggregated | ||
Pooled Sample (N = 25) | Women (N = 11) | Men (N = 14) | |
Tolerance to drought | 68 | 27 | 100 |
Tolerance to pests and diseases | 44 | 18 | 64 |
Taste | 32 | 36 | 29 |
Bunch size | 16 | 27 | 7 |
Tolerance to poor soils | 4 | 0 | 7 |
Texture (Softness) when cooked | 4 | 9 | 0 |
Attribute | Men | Women | Mean Difference | t-Statistics | p-Value | ||
---|---|---|---|---|---|---|---|
Mean | Std. Dev. | Mean | Std. Dev. | ||||
Bunch size | 2.276 | 1.571 | 2.153 | 1.311 | 0.124 | 0.488 | 0.627 |
Taste | 2.729 | 1.474 | 2.769 | 1.477 | −0.041 | −0.151 | 0.881 |
Resistance to pests and diseases | 2.239 | 1.580 | 3.476 | 1.470 | −1.341 | −3.628 | 0.001 |
Tolerance to drought | 2.370 | 1.508 | 2.889 | 2.025 | −0.519 | −1.297 | 0.198 |
Texture (Softness) when cooked | 3.645 | 1.404 | 3.167 | 1.752 | 0.478 | 1.252 | 0.215 |
Maturity period | 3.000 | 1.626 | 2.778 | 1.495 | 0.222 | 0.573 | 0.569 |
Finger size | 4.000 | 1.211 | 3.172 | 1.560 | 0.828 | 1.836 | 0.073 |
Sucker production | 3.412 | 1.064 | 4.417 | 1.442 | −1.005 | −2.438 | 0.019 |
Flavour | 4.200 | 1.033 | 4.500 | 1.780 | −0.300 | −0.461 | 0.650 |
Food colour when cooked | 5.000 | 1.414 | 5.889 | 1.900 | −0.889 | −0.614 | 0.555 |
Heat Retention | 5.500 | 3.536 | 5.400 | 2.302 | 0.100 | 0.046 | 0.965 |
Gender * | Colour | Flavour | Taste | Texture | Acceptability |
---|---|---|---|---|---|
Women | 4.064 | 3.769 | 3.915 | 4.216 | 4.144 |
Men | 3.805 | 3.667 | 4.004 | 4.059 | 4.005 |
Adult women | 3.641 | 3.707 | 3.557 | 3.993 | 3.940 |
Adult men | 4.041 | 3.709 | 4.191 | 4.353 | 4.121 |
Elderly women | 4.301 | 3.729 | 3.888 | 4.377 | 4.144 |
Elderly men | 3.097 | 3.836 | 3.690 | 3.547 | 3.760 |
Young women | 4.237 | 3.826 | 4.362 | 4.179 | 4.321 |
Young men | 4.143 | 3.487 | 3.973 | 4.062 | 4.196 |
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Nasirumbi Sanya, L.; Ssali, R.T.; Namuddu, M.G.; Kyotalimye, M.; Marimo, P.; Mayanja, S. Why Gender Matters in Breeding: Lessons from Cooking Bananas in Uganda. Sustainability 2023, 15, 7024. https://doi.org/10.3390/su15097024
Nasirumbi Sanya L, Ssali RT, Namuddu MG, Kyotalimye M, Marimo P, Mayanja S. Why Gender Matters in Breeding: Lessons from Cooking Bananas in Uganda. Sustainability. 2023; 15(9):7024. https://doi.org/10.3390/su15097024
Chicago/Turabian StyleNasirumbi Sanya, Losira, Reuben Tendo Ssali, Mary Gorreth Namuddu, Miriam Kyotalimye, Pricilla Marimo, and Sarah Mayanja. 2023. "Why Gender Matters in Breeding: Lessons from Cooking Bananas in Uganda" Sustainability 15, no. 9: 7024. https://doi.org/10.3390/su15097024