IDEAS home Printed from https://ideas.repec.org/a/ags/afjare/93862.html
   My bibliography  Save this article

Economic impact analysis of marker-assisted breeding for resistance to pests and post harvest deterioration in cassava

Author

Listed:
  • Rudi, Nderim
  • Norton, George W.
  • Alwang, Jeffrey Roger
  • Asumugha, Godwin N.

Abstract

Marker-assisted breeding could have a major impact in relieving productivity constraints that cannot as easily or rapidly be relieved by conventional breeding alone. This paper estimates the benefits of using marker-assisted breeding, as compared to conventional breeding alone, in developing cassava varieties resistant to cassava mosaic disease, green mite, whitefly and post-harvest physiological deterioration in Nigeria, Ghana and Uganda. Marker-assisted breeding is estimated to save at least four years in the breeding cycle for varieties resistant to the pests and to result in incremental net benefits over 25 years in the range of $34 to $800 million depending on the country, the particular constraint and various assumptions. Benefits may reach as high as $3 billion for resistance to post-harvest physiological deterioration, as conventional breeding is not projected to solve the problem within a reasonable time frame.

Suggested Citation

  • Rudi, Nderim & Norton, George W. & Alwang, Jeffrey Roger & Asumugha, Godwin N., 2010. "Economic impact analysis of marker-assisted breeding for resistance to pests and post harvest deterioration in cassava," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 4(2), pages 1-13, June.
    • Handle: RePEc:ags:afjare:93862
    DOI: 10.22004/ag.econ.93862
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/93862/files/Economic%20impact%20analysis%20of%20maker.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.93862?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Bénédicte Vidaillet & V. d'Estaintot & P. Abécassis, 2005. "Introduction," Post-Print hal-00287137, HAL.
    2. Nweke, Felix, 2004. "New challenges in the cassava transformation in Nigeria and Ghana:," EPTD discussion papers 118, International Food Policy Research Institute (IFPRI).
    3. Michael E. Johnson & William A. Masters & Paul V. Preckel, 2006. "Diffusion and spillover of new technology: a heterogeneous‐agent model for cassava in West Africa," Agricultural Economics, International Association of Agricultural Economists, vol. 35(2), pages 119-129, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kergna, Alpha & Smale, Melinda & Assima, Amidou & Weltzien, Eva & Rattunde, Fred, 2016. "The potential economic impact of guinea-race sorghum hybrids in Mali: Comparing research paradigms," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246964, African Association of Agricultural Economists (AAAE).
    2. Jeffrey Alwang & Samy Sabry & Kamel Shideed & Atef Swelam & Habib Halila, 2018. "Economic and food security benefits associated with raised-bed wheat production in Egypt," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(3), pages 589-601, June.
    3. Thornton, Philip K. & Whitbread, Anthony & Baedeker, Tobias & Cairns, Jill & Claessens, Lieven & Baethgen, Walter & Bunn, Christian & Friedmann, Michael & Giller, Ken E. & Herrero, Mario & Howden, Mar, 2018. "A framework for priority-setting in climate smart agriculture research," Agricultural Systems, Elsevier, vol. 167(C), pages 161-175.
    4. Naseem, Anwar & Singla, Rohit, 2013. "Ex Ante Economic Impact Analysis of Novel Traits in Canola," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(2), pages 1-21, August.
    5. Kergna, Alpha & Smale, Melinda & Assima, Amidou & Diallo, Abdoulaye & Weltzien, Eva & Rattunde, Fred, 2017. "The potential economic impact of Guinea-race sorghum hybrids in Mali: A comparison of research and development paradigms," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 12(1), March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. van Dijk, Dick & Hans Franses, Philip & Peter Boswijk, H., 2007. "Absorption of shocks in nonlinear autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4206-4226, May.
    2. Lütkepohl Helmut, 2011. "Forecasting Nonlinear Aggregates and Aggregates with Time-varying Weights," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 107-133, February.
    3. Karaman Örsal, Deniz Dilan & Droge, Bernd, 2014. "Panel cointegration testing in the presence of a time trend," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 377-390.
    4. Georgiadis, Andreas & Manning, Alan, 2009. "One nation under a groove? Identity and multiculturalism in Britain," LSE Research Online Documents on Economics 28676, London School of Economics and Political Science, LSE Library.
    5. Jinzhu Chen & Prakash Kannan & Prakash Loungani & Bharat Trehan, 2012. "New evidence on cyclical and structural sources of unemployment," Proceedings, Federal Reserve Bank of San Francisco, issue March, pages 1-23.
    6. repec:hum:wpaper:sfb649dp2006-005 is not listed on IDEAS
    7. Biqing Cai & Jiti Gao & Dag Tjøstheim, 2017. "A New Class of Bivariate Threshold Cointegration Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(2), pages 288-305, April.
    8. Oscar Jorda, 2007. "Inference for Impulse Responses," Working Papers 77, University of California, Davis, Department of Economics.
    9. Monteiro, Paulo Klinger & Moreira, Humberto, 2006. "First-price auctions without affiliation," Economics Letters, Elsevier, vol. 91(1), pages 1-7, April.
    10. Holmes, Mark J. & Otero, Jesús & Panagiotidis, Theodore, 2013. "Modelling the behaviour of unemployment rates in the US over time and across space," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(22), pages 5711-5722.
    11. Scheufele, Rolf, 2010. "Evaluating the German (New Keynesian) Phillips curve," The North American Journal of Economics and Finance, Elsevier, vol. 21(2), pages 145-164, August.
    12. Ignacio Lozano Espitia & Karen Rodríguez, 2009. "Assessing the Macroeconomic Effects of Fiscal," Borradores de Economia 5386, Banco de la Republica.
    13. Till van Treeck, 2008. "The political economy debate on ‘financialisation’ – a macroeconomic perspective," IMK Working Paper 01-2008, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    14. Vijay Varadi & C. Vanlalramsanga, 2012. "Assessment of the Impact of Fiscal Policy on Economic Growth: An Empirical Analysis," EERI Research Paper Series EERI_RP_2012_06, Economics and Econometrics Research Institute (EERI), Brussels.
    15. Ignacio Lozano & Karen Rodríguez, 2011. "Assessing the macroeconomic effects of fiscal policy in Colombia," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 3(3), pages 206-228, August.
    16. Lutz Kilian & Logan T. Lewis, 2011. "Does the Fed Respond to Oil Price Shocks?," Economic Journal, Royal Economic Society, vol. 121(555), pages 1047-1072, September.
    17. Christian Kascha, 2012. "A Comparison of Estimation Methods for Vector Autoregressive Moving-Average Models," Econometric Reviews, Taylor & Francis Journals, vol. 31(3), pages 297-324.
    18. Cosimo Magazzino, 2015. "Energy consumption and GDP in Italy: cointegration and causality analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(1), pages 137-153, February.
    19. Robert Lehmann & Antje Weyh, 2016. "Forecasting Employment in Europe: Are Survey Results Helpful?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(1), pages 81-117, September.
    20. Brüggemann, Ralf & Jentsch, Carsten & Trenkler, Carsten, 2016. "Inference in VARs with conditional heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 191(1), pages 69-85.

    More about this item

    Keywords

    Crop Production/Industries;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:afjare:93862. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaaeaea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.