IDEAS home Printed from https://ideas.repec.org/a/eee/jfpoli/v83y2019icp48-59.html
   My bibliography  Save this article

Is DNA fingerprinting the gold standard for estimation of adoption and impacts of improved lentil varieties?

Author

Listed:
  • Yigezu, Yigezu A.
  • Alwang, Jeffrey
  • Rahman, M. Wakilur
  • Mollah, M. Bazlur R.
  • El-Shater, Tamer
  • Aw-Hassan, Aden
  • Sarker, Ashutosh

Abstract

In the early 1980s, disease susceptibility in short-season lentil landraces began to limit productivity in areas where relay cropping took place in Bangladesh. Since then, several improved high-yielding lentil varieties, which are resistant to rust and blight and suitable in the relay cropping system, have been released jointly by national and international research centers. This study used three methods, namely a panel of experts, a survey of 1000 households where the respondents named the variety they used, and DNA fingerprinting of seed samples collected from all lentil plots cultivated by survey households to estimate adoption. Double hurdle and instrumental variables regression methods were applied to the household survey and DNA fingerprinting data to identify determinants of adoption and measure their impacts. Of particular interest was whether estimates of adoption, determinants of adoption and impacts varied by method of variety identification. Results showed that the expert panel overestimated the adoption of more recent varieties while about 89% of the farmer-reported varieties were accurate, as verified by DNA fingerprinting. DNA fingerprinting appears to have little advantage for estimating the level of adoption in this case, where few varieties of lentils are found, local variety names do not exist, and most seed is obtained through a formal system. However, even under these conditions, determinants of adoption vary by identification method, and use of farmer-reported information on the variety can lead to erroneous conclusions about determinants of adoption. Because recent breeding efforts have focused on taste and cooking considerations, yield impacts were not significantly different from zero.

Suggested Citation

  • Yigezu, Yigezu A. & Alwang, Jeffrey & Rahman, M. Wakilur & Mollah, M. Bazlur R. & El-Shater, Tamer & Aw-Hassan, Aden & Sarker, Ashutosh, 2019. "Is DNA fingerprinting the gold standard for estimation of adoption and impacts of improved lentil varieties?," Food Policy, Elsevier, vol. 83(C), pages 48-59.
    • Handle: RePEc:eee:jfpoli:v:83:y:2019:i:c:p:48-59
    DOI: 10.1016/j.foodpol.2018.11.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306919218303300
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.foodpol.2018.11.004?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Just, Richard E. & Pope, Rulon D., 1978. "Stochastic specification of production functions and economic implications," Journal of Econometrics, Elsevier, vol. 7(1), pages 67-86, February.
    2. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    3. Di Zeng & Jeffrey Alwang & George W. Norton & Bekele Shiferaw & Moti Jaleta & Chilot Yirga, 2015. "Ex post impacts of improved maize varieties on poverty in rural Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 46(4), pages 515-526, July.
    4. Feder, Gershon, 1980. "Farm Size, Risk Aversion and the Adoption of New Technology under Uncertainty," Oxford Economic Papers, Oxford University Press, vol. 32(2), pages 263-283, July.
    5. Datta, S.K. & Sarkar, M.A.R. & Uddin, F.M.J., 2013. "Effect Of Variety And Level Of Phosphorus On The Yield And Yield Components Of Lentil," International Journal of Agricultural Research, Innovation and Technology (IJARIT), IJARIT Research Foundation, vol. 3(1), June.
    6. Larochelle, Catherine & Alwang, Jeffrey Roger, 2014. "Impacts of Improved Bean Varieties on Food Security in Rwanda," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170567, Agricultural and Applied Economics Association.
    7. Yigezu, Yigezu Atnafe & Mugera, Amin & El-Shater, Tamer & Aw-Hassan, Aden & Piggin, Colin & Haddad, Atef & Khalil, Yaseen & Loss, Stephen, 2018. "Enhancing adoption of agricultural technologies requiring high initial investment among smallholders," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 199-206.
    8. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    9. Maredia, Mywish K. & Reyes, Byron A. & Manu-Aduening, Joseph & Dankyi, Awere & Hamazakaza, Petan & Muimui, Kennedy & Rabbi, Ismail & Kulakow, Peter & Parkes, Elizabeth & Abdoulaye, Tahirou & Katungi, , 2016. "Testing Alternative Methods of Varietal Identification Using DNA Fingerprinting: Results of Pilot Studies in Ghana and Zambia," Food Security International Development Working Papers 246950, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    10. Tamer El-Shater & Yigezu A. Yigezu & Amin Mugera & Colin Piggin & Atef Haddad & Yaseen Khalil & Stephen Loss & A. Aw-Hassan, 2016. "Does Zero Tillage Improve the Livelihoods of Smallholder Cropping Farmers?," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(1), pages 154-172, February.
    11. Akuffo Amankwah & Kwamena K. Quagrainie & Paul V. Preckel, 2016. "Demand for improved fish feed in the presence of a subsidy: a double hurdle application in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 47(6), pages 633-643, November.
    12. Verkaart, Simone & Munyua, Bernard G. & Mausch, Kai & Michler, Jeffrey D., 2017. "Welfare impacts of improved chickpea adoption: A pathway for rural development in Ethiopia?," Food Policy, Elsevier, vol. 66(C), pages 50-61.
    13. Kosmowski,Frederic & Aragaw,Abiyot & Kilian,Andrzej & Ambel,Alemayehu A. & Ilukor,John & Yigezu,Biratu & Stevenson,James & Kosmowski,Frederic & Aragaw,Abiyot & Kilian,Andrzej & Ambel,Alemayehu A. & Il, 2016. "Varietal identification in household surveys : results from an experiment using DNA fingerprinting of sweet potato leaves in southern Ethiopia," Policy Research Working Paper Series 7812, The World Bank.
    14. William J. Burke, 2009. "Fitting and interpreting Cragg's tobit alternative using Stata," Stata Journal, StataCorp LP, vol. 9(4), pages 584-592, December.
    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. Pepijn Schreinemachers & Teresa Sequeros & Saima Rani & Md. Abdur Rashid & Nithya Vishwanath Gowdru & Muhammad Shahrukh Rahman & Mohammed Razu Ahmed & Ramakrishnan Madhavan Nair, 2019. "Counting the beans: quantifying the adoption of improved mungbean varieties in South Asia and Myanmar," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(3), pages 623-634, June.
    2. Calogero Carletto, 2021. "Better data, higher impact: improving agricultural data systems for societal change [Correlated non-classical measurement errors, ‘second best’ policy inference, and the inverse size-productivity r," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(4), pages 719-740.
    3. Muricho, Geoffrey & Lokossou, Jourdain & Odhiambo, Collins & Ojiewo, Chris, 2023. "Adoption and impact assessment of improved groundnut varieties on poverty using DNA-Fingerprinting data: Evidence frrom smallholder rural farmers in Northern Nigeria," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334554, Agricultural Economics Society - AES.

    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. Jourdain C. Lokossou & Hippolyte D. Affognon & Alphonse Singbo & Michel B. Vabi & Ayoni Ogunbayo & Paul Tanzubil & Alcade C. Segnon & Geoffrey Muricho & Haile Desmae & Hakeem Ajeigbe, 2022. "Welfare impacts of improved groundnut varieties adoption and food security implications in the semi-arid areas of West Africa," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(3), pages 709-728, June.
    2. Abebayehu Girma Geffersa & Frank W. Agbola & Amir Mahmood, 2022. "Improved maize adoption and impacts on farm household welfare: Evidence from rural Ethiopia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(4), pages 860-886, October.
    3. Yigezu, Yigezu Atnafe & Mugera, Amin & El-Shater, Tamer & Aw-Hassan, Aden & Piggin, Colin & Haddad, Atef & Khalil, Yaseen & Loss, Stephen, 2018. "Enhancing adoption of agricultural technologies requiring high initial investment among smallholders," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 199-206.
    4. Felister Y. Tibamanya & Mursali A. Milanzi & Arne Henningsen, 2021. "Drivers of and Barriers to Adoption of Improved Sun- flower Varieties amongst Smallholder Farmers in Singida, Tanzania: the Double-Hurdle Approach," IFRO Working Paper 2021/03, University of Copenhagen, Department of Food and Resource Economics.
    5. Alwang, Jeffrey & Gotor, Elisabetta & Thiele, Graham & Hareau, Guy & Jaleta, Moti & Chamberlin, Jordan, 2019. "Pathways from research on improved staple crop germplasm to poverty reduction for smallholder farmers," Agricultural Systems, Elsevier, vol. 172(C), pages 16-27.
    6. Ayala Wineman & Timothy Njagi & C. Leigh Anderson & Travis W. Reynolds & Didier Yélognissè Alia & Priscilla Wainaina & Eric Njue & Pierre Biscaye & Miltone W. Ayieko, 2020. "A Case of Mistaken Identity? Measuring Rates of Improved Seed Adoption in Tanzania Using DNA Fingerprinting," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 719-741, September.
    7. Megan Sheahan & Joshua Ariga & T. S. Jayne, 2016. "Modeling the Effects of Input Market Reforms on Fertiliser Demand and Maize Production: A Case Study from Kenya," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 420-447, June.
    8. Noltze, Martin & Schwarze, Stefan & Qaim, Matin, 2011. "Understanding the adoption of systemic innovations in smallholder agriculture: the System of Rice Intensification (SRI) in Timor Leste," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114604, European Association of Agricultural Economists.
    9. Negash, Martha, 2015. "Drivers of bioenergy crop adoption: evidence from Ethiopia's castor bean contract farming," 2015 Conference, August 9-14, 2015, Milan, Italy 230226, International Association of Agricultural Economists.
    10. Yigezu A. Yigezu & Zewdie Bishaw & Abdoul Aziz Niane & Jeffrey Alwang & Tamer El-Shater & Mohamed Boughlala & Aden Aw-Hassan & Wuletaw Tadesse & Filippo M. Bassi & Ahmed Amri & Michael Baum, 2021. "Institutional and farm-level challenges limiting the diffusion of new varieties from public and CGIAR centers: The case of wheat in Morocco," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(6), pages 1359-1377, December.
    11. Ruzzante, Sacha & Labarta, Ricardo & Bilton, Amy, 2021. "Adoption of agricultural technology in the developing world: A meta-analysis of the empirical literature," World Development, Elsevier, vol. 146(C).
    12. Vaiknoras, Kate A. & Larochelle, Catherine, 2018. "The Impact of Biofortified Iron Bean Adoption on Productivity, and Bean Consumption, Purchases and Sales," 2018 Annual Meeting, August 5-7, Washington, D.C. 274231, Agricultural and Applied Economics Association.
    13. Wossen, Tesfamicheal & Alene, Arega & Abdoulaye, Tahirou & Feleke, Shiferaw & Manyong, Victor, 2019. "Agricultural technology adoption and household welfare: Measurement and evidence," Food Policy, Elsevier, vol. 87(C), pages 1-1.
    14. Garbero, A. & Marion, P., 2018. "IFAD RESEARCH SERIES 28 - Understanding the dynamics of adoption decisions and their poverty impacts: the case of improved maize seeds in Uganda," IFAD Research Series 280077, International Fund for Agricultural Development (IFAD).
    15. Stein T. Holden & John Quiggin, 2017. "Climate risk and state-contingent technology adoption: shocks, drought tolerance and preferences," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(2), pages 285-308.
    16. Kazushi Takahashi & Rie Muraoka & Keijiro Otsuka, 2020. "Technology adoption, impact, and extension in developing countries’ agriculture: A review of the recent literature," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 31-45, January.
    17. De Pinto, Alessandro & Robertson, Richard D. & Obiri, Beatrice Darko, 2013. "Adoption of climate change mitigation practices by risk-averse farmers in the Ashanti Region, Ghana," Ecological Economics, Elsevier, vol. 86(C), pages 47-54.
    18. Sheahan, Megan & Ariga, Joshua & Jayne, Thomas S., 2013. "Modeling the Effects of Input Market Reforms on Fertilizer Demand and Maize Production: A Case Study of Kenya," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150697, Agricultural and Applied Economics Association.
    19. Tesfay, M., 2018. "Adoption of diversified farm technology in a semi arid of northern Ethiopia: A Panel Data Analysis," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276008, International Association of Agricultural Economists.
    20. Josephson, Anna & Ricker-Gilbert, Jacob, 2020. "Preferences and crop choice during Zimbabwe’s macroeconomic crisis," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 15(3), September.

    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:eee:jfpoli:v:83:y:2019:i:c:p:48-59. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/foodpol .

    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.