IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Markets Access, Approaches and Opportunities for Quality Protein Maize Products

Listed author(s):
  • Ouma, James Okuro
  • Bett, Charles
  • Githaigah, T.
Registered author(s):

    Lack of access to nutritious food is an underlying and major cause of child mortality in Africa. Improving the nutritional quality of food crops, through biofortification, would be a useful complementary strategy to other agricultural and public health interventions. Quality Protein Maize (QPM) varieties have been developed through biofortification. Consumption of these varieties leads to greater protein utilisation in adults and children. In Kenya three QPM varieties have been released. In Central Kenya, particularly Kirinyaga district, farmers have come together through Innovation Platform for Technology Adoption ( IPTA) with the aim of production, value addition and marketing of QPM based products. These groups require information on the potential markets for the new QPM based products. The study was therefore conceived with the aim of collecting and providing information about potential market that can be used by farmers in the IPTAs in deciding how QPM based products should be designed, delivered, priced, and marketed. The study used the Rapid Market Appraisal (RMA) approach. Market outlets in Kirinyaga, Embu and Nairobi were first identified through the guidance of staff of the ministries of agriculture, trade, education, health and local authority. The market outlets were classified as retail, wholesale, schools, hospitals, restaurants/hotels and food stores/processors. 60 respondents in the different outlets were interviewed using separate sets of pretested questionnaires in June-July 2009. 17 questionnaires were not fully completed and were not included in the analysis. Data collected was subjected to analysis using SPSS. Although the awareness level about QPM was low (35 % (n=43), there was desire to buy QPM products. 95 % (n=43) expressed the desire to buy products but required samples of the products before making final decision. The potential demand varied from outlet to outlet but on average there was demand of about 0.8 tons per month. Promotional campaigns need to be intensified to create more awareness and increase demand. Farmers groups will also require to meet quality standards as they produce and market QPM products in the various outlets.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    Paper provided by African Association of Agricultural Economists (AAAE) & Agricultural Economics Association of South Africa (AEASA) in its series 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa with number 96173.

    in new window

    Date of creation: 2010
    Handle: RePEc:ags:aaae10:96173
    Contact details of provider: Postal:
    C/O University of Nairobi, College of Agriculture and Veterinary Sciences (CAVS), Upper Kabete Campus, Loresho Ridge Rd. P.O. Box 63515 - 00619, Muthaiga, Nairobi, Kenya

    Phone: +254 572 511 300
    Web page:

    More information through EDIRC

    Web page:

    More information through EDIRC

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    in new window

    1. Bellon, Mauricio R. & Reeves, Jane, 2002. "Quantitative Analysis Of Data From Participatory Methods In Plant Breeding," Manuals 23718, CIMMYT: International Maize and Wheat Improvement Center.
    2. Morris, Michael L. & Tripp, Robert & Dankyi, A.A., 1999. "Adoption and Impacts of Improved Maize Production Technology: A Case Study of the Ghana Grains Development Project," Economics Program Papers 48767, CIMMYT: International Maize and Wheat Improvement Center.
    3. Gunaratna, Nilupa S. & De Groote, Hugo & McCabe, G.P., 2008. "Evaluating the Impact of Biofortification: A Meta-analysis of Community-level Studies on Quality Protein Maize (QPM)," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44166, European Association of Agricultural Economists.
    4. Ellis, Frank, 2000. "Rural Livelihoods and Diversity in Developing Countries," OUP Catalogue, Oxford University Press, number 9780198296966.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:ags:aaae10:96173. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.