Agriculture and Human Values

, Volume 33, Issue 4, pp 967–978 | Cite as

Growing burdens? Disease-resistant genetically modified bananas and the potential gendered implications for labor in Uganda

Article

Abstract

How will the adoption of genetically modified (GM) staple crops reconfigure labor processes in Sub-Saharan Africa? This article focuses on Uganda, where GM varieties of matooke (cooking bananas), the country’s primary carbohydrate staple, are expected to be commercialized within the next few years. The paper draws on survey data and focus groups with a random sample of over one hundred and fifty growers to investigate the potential ways a variety engineered to be resistant to banana bacterial wilt (BBW) might impact labor dynamics. A BBW resistant GM variety will displace labor currently allocated to disease prevention and control, and increase the labor required for harvesting higher yields. How farmers can address the need for more harvesting labor varies significantly according to region. In the southwestern highlands, producers can increase their portion of hired labor. In the central and eastern regions, where farms tend to be smaller and subsistence-oriented, farmers are more likely to intensify their use of unpaid family labor, particularly that of wives. Hence, while GM technology may result in increased yields for small-scale farmers in Uganda, this is likely to come at the cost of intensifying the agricultural labor burdens of women in the central and eastern region.

Keywords

Genetically modified crops Banana Uganda Labor Gender 

Abbreviations

ADIS

Agriculture development and investment strategy plan 2010/11–2014/15

BBW

Banana bacterial wilt

Bt

Bacillus thuringiensis

GM

Genetically modified

IRIN

UN office for the coordination of humanitarian affairs

NARO

National Agricultural Research Organization

NERICA

New rice for Africa

Ht

Herbicide tolerant

USD

United states dollars

USH

Ugandan shillings

References

  1. Afedraru, L. 2014. Biotech crops ready for release, no law in place yet. Daily monitor. December 10. http://www.monitor.co.ug/Magazines/Farming/Biotech-crops-ready-for-release–no-law-in-place-yet/-/689860/2550072/-/15iqpuvz/-/index.html. Accessed 20 Feb 2015.
  2. Bagamba, F. 2007. Market access and agricultural production: the case of banana production in Uganda. Ph.D. Dissertation, Development Economics Group, Wageningen: Wageningen University.Google Scholar
  3. Bagamba, F., K. Burger and A. Kuyvenhoven. 2009. Determinants of Smallholder farmer labor allocation decisions in Uganda. International food policy research institute discussion paper. http://www.ifpri.org/sites/default/files/publications/ifpridp00887.pdf. Accessed 4 Sept 2014.
  4. Bennett, R., T. Buthelezi, Y. Ismael, and S. Morse. 2003. Bt cotton, pesticides, labor and health: A case study of smallholder farmers in the makhathini flats, Republic of South Africa. Outlook on Agriculture 32(2): 123–128.CrossRefGoogle Scholar
  5. Beraho, M. 2008. Living with AIDS in Uganda impacts on banana-farming households in two districts. Wageningen: Wageningen Academic Publishers.CrossRefGoogle Scholar
  6. Bezner Kerr, R. 2012. Lessons from the green revolution for Africa. Progress in Development Studies 12: 213–229.CrossRefGoogle Scholar
  7. Burawoy, M. 1985. The politics of production: Factory regimes under capitalism and socialism. London: Verso.Google Scholar
  8. Carney, J., and M. Watts. 1990. Manufacturing dissent: Work, gender, and the politics of meaning in a peasant society. Africa 60(2): 207–241.CrossRefGoogle Scholar
  9. Carney, J., and M. Watts. 1991. Disciplining women? Rice, mechanization and the evolution of Mandinka gender relations in Senegambia. Signs 16(4): 651–681.CrossRefGoogle Scholar
  10. Chirwa, E. 2005. Adoption of fertiliser and hybrid seeds by smallholder maize farmers in Southern Malawi. Development Southern Africa 22(1): 1–12.CrossRefGoogle Scholar
  11. Edmeades, S., M. Smale, E. Kikulwe, J. Nkuba, M. Said, and R. Byabachwezi. 2007. Characteristics of banana-growing households and banana cultivars. In An economic assessment of banana genetic improvement and innovation in the Lake Victoria region of Uganda and Tanzania, ed. M. Smale, and W.K. Tushemereirwe, 49–74. Washington DC: International Food Policy Research Institute.Google Scholar
  12. Elbehri, A., and S. MacDonald. 2004. Estimating the impact of transgenic Bt cotton on west and central Africa: A general equilibrium approach. World Development 32(12): 2049–2064.CrossRefGoogle Scholar
  13. FEWSNET. 2004. Uganda food security update December 2004. http://www.fews.net/sites/default/files/documents/reports/Uganda_200412en.pdf. Accessed 10 Oct 2014.
  14. Francisco, S.R. 2006. Ex-ante impact assessment of fruit and shoot borer resistant eggplant in the Philippines. International Service for the Acquisition of Agri-biotech Applications (ISAAA): Los Baños.Google Scholar
  15. Geisler, G. 1993. Silences speak louder than claims: Gender, household, and agricultural development in southern Africa. World Development 21(12): 1965–1980.CrossRefGoogle Scholar
  16. Glover, D. 2010. Is Bt cotton a pro-poor technology? A review and critique of the empirical record. Journal of Agrarian Change 10(4): 482–509.CrossRefGoogle Scholar
  17. Gold, C.S., E.B. Karamura, A. Kiggundu, F. Bagamba, and A.M.K. Abera. 1999. Geographical shifts in highland banana production in Uganda. International Journal of Sustainable Development and World Ecology 6: 45–59.CrossRefGoogle Scholar
  18. Gonsalves, C., D.R. Lee, and D. Gonsalves. 2007. The adoption of genetically modified papaya in Hawaii and its implications for developing countries. Journal of Development Studies 43: 177–191.CrossRefGoogle Scholar
  19. Gouse, M. 2012. GM maize as a subsistence crop: The South African smallholder experience. AgBioForum 15(2): 163–174.Google Scholar
  20. Horna, D., P. Zambrano, J. Falck-Zepeda, T. Sengooba, and M. Kyotalimye. 2013. Genetically modified cotton in Uganda: An ex ante evaluation. In Genetically modified crops in Africa: Economic and policy lessons from countries south of the Sahara, ed. J. Falck-Zepeda, G. Gruere, and I. Sithole-Niang, 61–97. Washington, DC: International Food Policy Research Institute (IFPRI).Google Scholar
  21. Huang, J., R. Hu, S. Rozelle, and C. Pray. 2005. Insect-resistant GM rice in farmers’ fields: Assessing productivity and health effects in China. Science 308: 688–690.CrossRefGoogle Scholar
  22. IRIN (UN Office for the Coordination of Humanitarian Affairs). 2009. East Africa: Banana blight puts livelihoods at risk. http://www.irinnews.org/report/84873/east-africa-banana-blight-puts-livelihoods-at-risk. Accessed 5 Jan 2014.
  23. Jogo, W., E. Karamura, J. Kubiriba, W. Tinzaara, A. Rietveld, and M. Onyango. 2011. Farmers’ awareness and application of banana xanthomonas wilt control options: The case of Uganda and Kenya. Journal of Development and Agricultural Economics 3(11): 561–571.Google Scholar
  24. Jogo, W., E. Karamura, W. Tinzaara, J. Kubiriba, and A. Rietveld. 2013. Determinants of farm-level adoption of cultural practices for banana xanthomonas wilt control in Uganda. Journal of Agricultural Science 5(7): 70–81.CrossRefGoogle Scholar
  25. Juma, C. 2013. How Africa can feed the world. Globe and mail, 3 June. http://www.theglobeandmail.com/globe-debate/how-africa-can-feed-the-world/article12305300/. Accessed on 5 Jan 2015.
  26. Kalyebara, M.R., S. Wood, and P.N. Abodi. 2007a. Overview of the banana economy in the Lake Victoria regions of Uganda and Tanzania. In An economic assessment of banana genetic improvement and innovation in the Lake Victoria region of Uganda and Tanzania, ed. M. Smale, and W.K. Tushemereirwe, 25–37. Washington, DC: International Food Policy Research Institute.Google Scholar
  27. Kalyebara, M.R., P.E. Ragama, E. Kikulwe, F. Bagamba, K.C. Nankinga, and W.K. Tushemereirwe. 2007b. Economic importance of the banana bacterial wilt in Uganda. African Crop Science Journal 14(2): 93–103.CrossRefGoogle Scholar
  28. Karamura, E., and W. Tinzaara. 2007. Management of banana xanthomonas wilt in East and central Africa: proceedings of the workshop on review of the strategy for the management of BXW. http://banananetworks.org/barnesa/files/2013/05/Untitled1.pdf. Accessed 26 Oct 2014.
  29. Kasente, D., M. Lockwood, J. Vivian, and A. Whitehead. 2002. Gender and the expansion of non-traditional agricultural exports in Uganda. In Shifting burdens: Gender and agrarian change under neoliberalism, ed. S. Razavi, 35–66. Boulder: Lynne Reinner.Google Scholar
  30. Kikulwe, E., J. Wesseler and J. Falck-Zepeda. 2008. Introducing a genetically modified banana in Uganda: Social benefits, costs, and consumer perceptions. international food policy research institute discussion paper. http://www.ifpri.org/sites/default/files/publications/ifpridp00767.pdf. Accessed 5 Jan 2015.
  31. Lipton, M. 2007. Plant breeding and poverty: Can transgenic seeds replicate the ‘Green Revolution’ as a source of gains for the poor? Journal of Development Studies 43(1): 31–62.CrossRefGoogle Scholar
  32. Lodin, J.B. 2012. Intrahousehold bargaining and distributional outcomes regarding NERICA upland rice proceeds in Hoima district, Uganda. Gender, Technology and Development 16(3): 253–278.CrossRefGoogle Scholar
  33. Lodin, J.B., S. Paulson, and M.S. Mugenyi. 2012. New seeds, gender norms and labor dynamics in Hoima district, Uganda. Journal of Eastern African Studies 6(3): 405–422.CrossRefGoogle Scholar
  34. Lodin, J.B., M. Jirström, and S. Paulson. 2014. NERICA upland rice: Seeds of change for female-headed households in Uganda? Culture, Agriculture, Food and Environment 36: 129–141.CrossRefGoogle Scholar
  35. Magomba, L. 2013. East Africa: Farmers urged to adopt biotech. East African business week, 12 August. http://allafrica.com/stories/201308121867.html. Accessed on 5 Jan 2015.
  36. Mangheni, M., M. Ssenkaali, and F. Onyai. 2010. Rural development and environment in Uganda. In Environment, development and sustainability: Case studies from around the world, ed. G. Wilson, P. Furniss, and R. Kimbowa, 24–33. Oxford: Oxford University Press.Google Scholar
  37. Meldolesi, A. 2011. GM banana. Nature Biotechnology 29(6): 472.CrossRefGoogle Scholar
  38. Morse, S., and R.M. Bennet. 2008. Impact of bt cotton on farmer livelihoods in South Africa. International Journal of Plant Biotechnology 10(2): 224–239.Google Scholar
  39. Mwangi, M., and V. Nakato. 2009. Key factors responsible for the xanthomonas wilt epidemic on banana in east and central Africa. Acta Horticulturae 828: 395–404.CrossRefGoogle Scholar
  40. Nkuba, J.M., S.R.B. Mgenzi, M. Ishika, and C. Mushongi. 2003. Evaluating the marketing opportunities for banana and its products in the principle banana growing countries of ASARECA. Case study of Tanzania. Bukoba, Tanzania: Maruku Agricultural Research and Development Institute.Google Scholar
  41. Pray, C.E., J. Huang, D. Ma, and F. Qiao. 2001. Impact of bt cotton in China. World Development 29: 813–825.CrossRefGoogle Scholar
  42. Regier, G.K., T.J. Dalton, and J.R. Williams. 2013. Impact of genetically modified maize on smallholder risk in South Africa. AgBioForum 15(3): 328–336.Google Scholar
  43. Republic of Uganda. 2010. Agricultural sector development strategy and investment plan: 2010/11–2014/15. http://www.fao.org/fileadmin/user_upload/drought/docs/1_Agriculture_DSIP%20Uganda1.pdf. Accessed on 10 Nov 2015.
  44. Ronald, P. 2013. The truth about GMOs. Boston review, 6 September. http://www.bostonreview.net/forum/pamela-ronald-gmo-food. Accessed on 5 Jan 2015.
  45. Schoenbrun, D. 1993. Cattle herds and banana gardens: The historical geography of the western Great Lakes region, ca AD 800–1500. The African Archaeological Review 11: 39–72.CrossRefGoogle Scholar
  46. Schroeder, R. 1993. Shady practices: Gender and the political ecology of resource stabilization in Gambian garden/orchards. Economic Geography 69(4): 349–356.CrossRefGoogle Scholar
  47. Smale, M. 2007. Assessing the impact of technical innovations in African agriculture. In An economic assessment of banana genetic improvement and innovation in the Lake Victoria region of Uganda and Tanzania, ed. M. Smale, and W.K. Tushemereirwe, 3–11. Washington, DC: International Food Policy Research Institute.Google Scholar
  48. Smale, M., and W.K. Tushemereirwe. 2007. Summary. In An economic assessment of banana genetic improvement and innovation in the Lake Victoria region of Uganda and Tanzania, ed. M. Smale, and W.K. Tushemereirwe, 12–14. Washington, DC: International Food Policy Research Institute.Google Scholar
  49. Soleri, D., D. Cleveland, F. Aragón, M. Fuentes, H. Ríos and S. Sweeney. 2005. Understanding the potential impact of transgenic crops in traditional agriculture: maize farmers’ perspectives in Cuba, Guatemala and Mexico. Environmental Biosafety Research 4(3): 141–166.Google Scholar
  50. Sorensen, P. 1996. Commercialization of food crops in Busoga, Uganda, and the renegotiation of gender. Gender and Society 10(5): 608–628.CrossRefGoogle Scholar
  51. Stephens, R. 2013. A history of African motherhood: The case of Uganda: 700–1900. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  52. Stone, G. 2007. Agricultural deskilling and the spread of genetically modified cotton in warangal. Current Anthropology 48(1): 67–102.CrossRefGoogle Scholar
  53. Subramanian, A., and M. Qaim. 2009. Village-wide effects of agricultural biotechnology: The case of Bt cotton in India. World Development 37: 256–267.CrossRefGoogle Scholar
  54. Trigo, E.J., and E.J. Cap. 2003. The impact of the introduction of transgenic crops in Argentinean agriculture. AgBioForum 6(3): 87–94.Google Scholar
  55. Tripathi, L., M. Mwangi, S. Abele, V. Aritua, W. Tushemereirwe, and R. Bandyopadhyay. 2009. Xanthomonas wilt: A threat to banana production in east and central Africa. Plant Disease 93(5): 440–451.CrossRefGoogle Scholar
  56. Tripathi, L., J.N. Tripathi, and W.K. Tushemereirwe. 2010. Control of banana xanthomonas wilt disease using genetic engineering. Acta Horticulturae 879: 649–658.CrossRefGoogle Scholar
  57. Tripathi, J.N., J. Lorenzen, O. Bahar, P. Ronald, and L. Tripathi. 2014. Transgenic expression of the rice xa21 pattern-recognition receptor in banana (musa sp.) confers resistance to xanthomonas campestris pv. musacearum. Plant Biotechnology Journal 12(6): 663–673.CrossRefGoogle Scholar
  58. Verschoor, A. 2008. Gender relations and female labour supply in east Uganda. In Work, female empowerment and escape from poverty, ed. S. Horrell, H. Johnson, and P. Mosley, 141–170. London: Routledge.CrossRefGoogle Scholar
  59. Vurro, M., B. Bonciani, and G. Vannacci. 2010. Emerging infectious diseases of crop plants in developing countries: impact on agriculture and socio-economic consequences. Food Security 2(2): 113–132.CrossRefGoogle Scholar
  60. Zambrano, P., M. Smale, J.H. Maldonado, and S.L. Mendoza. 2012. Unweaving the threads: The experiences of female farmers with biotech cotton in Colombia. AgBioForum 15(2): 125–137.Google Scholar
  61. Zeller, M., A. Diagne, and C. Mataya. 1998. Market access by smallholder farmers in Malawi: Implications for technology adoption, agricultural productivity and crop income. Agricultural Economics 19: 219–229.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  1. 1.Department of AnthropologyMemorial UniversitySt. John’sCanada
  2. 2.Department of International Development StudiesDalhousie UniversityHalifaxCanada

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