IDEAS home Printed from https://ideas.repec.org/a/eee/jfpoli/v137y2025ics0306919225001897.html

The role of genotyping in measuring improved variety adoption and impact: advances, challenges, and policy directions

Author

Listed:
  • Melesse, Mequanint B.
  • Maredia, Mywish K.
  • Wossen, Tesfamicheal
  • Odeny, Damaris
  • Spielman, David J.
  • Michelson, Hope
  • Waza, Showkat Ahmad
  • Kamunye, Kelvin
  • Alene, Arega
  • Dar, Manzoor H.
  • Afari-Sefa, Victor
  • Pingali, Prabhu

Abstract

Accurate measurement of agricultural technology adoption is critical for evaluating the effectiveness of investments in agricultural research and development. While household surveys have long served as the primary tool for tracking varietal adoption, growing evidence reveals systematic mismatches between self-reported and DNA verified varietal identity. These mismatches arise from distinct local and scientific varietal nomenclatures, complex seed systems, and high varietal release rates. This review examines the emerging role of genotyping, particularly DNA fingerprinting, as a complementary method for varietal identification and adoption measurement. Drawing on a growing body of studies across crops and geographies, we assess how DNA fingerprinting alters adoption estimates, reveals patterns of varietal misclassification, and enhances our understanding of seed system performance. We identify critical design considerations for implementing DNA fingerprinting at scale, including sampling strategies, reference library construction, and integration with standard household surveys. The review also highlights methodological innovations to reduce DNA fingerprinting costs and explores how fingerprinting can inform monitoring, evaluation, and scaling of agricultural innovations. Finally, we outline key research and policy priorities to mainstream DNA fingerprinting into national agricultural systems and to support more evidence-based, accountable, and equitable food policy.

Suggested Citation

  • Melesse, Mequanint B. & Maredia, Mywish K. & Wossen, Tesfamicheal & Odeny, Damaris & Spielman, David J. & Michelson, Hope & Waza, Showkat Ahmad & Kamunye, Kelvin & Alene, Arega & Dar, Manzoor H. & Afa, 2025. "The role of genotyping in measuring improved variety adoption and impact: advances, challenges, and policy directions," Food Policy, Elsevier, vol. 137(C).
  • Handle: RePEc:eee:jfpoli:v:137:y:2025:i:c:s0306919225001897
    DOI: 10.1016/j.foodpol.2025.102984
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306919225001897
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.foodpol.2025.102984?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Johan F.M. Swinnen, 2010. "The Political Economy of Agricultural and Food Policies: Recent Contributions, New Insights, and Areas for Further Research," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 32(1), pages 33-58.
    2. Barrett, Christopher B. & Ghezzi-Kopel, Kate & Hoddinott, John & Homami, Nima & Tennant, Elizabeth & Upton, Joanna & Wu, Tong, 2021. "A scoping review of the development resilience literature: Theory, methods and evidence," World Development, Elsevier, vol. 146(C).
    3. Tesfamicheal Wossen & Tahirou Abdoulaye & Arega Alene & Pierre Nguimkeu & Shiferaw Feleke & Ismail Y Rabbi & Mekbib G Haile & Victor Manyong, 2019. "Estimating the Productivity Impacts of Technology Adoption in the Presence of Misclassification," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(1), pages 1-16.
    4. Abay, Kibrom A. & Barrett, Christopher B. & Kilic, Talip & Moylan, Heather & Ilukor, John & Vundru, Wilbert Drazi, 2023. "Nonclassical measurement error and farmers’ response to information treatment," Journal of Development Economics, Elsevier, vol. 164(C).
    5. 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.
    6. Barriga, Alicia & Fiala, Nathan, 2020. "The supply chain for seed in Uganda: Where does it go wrong?," World Development, Elsevier, vol. 130(C).
    7. Gert-Jan Stads & Nienke Beintema, 2015. "Agricultural R&D Expenditure in Africa: An Analysis of Growth and Volatility," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 27(3), pages 391-406, July.
    8. Douglas Gollin & Christopher Udry, 2021. "Heterogeneity, Measurement Error, and Misallocation: Evidence from African Agriculture," Journal of Political Economy, University of Chicago Press, vol. 129(1), pages 1-80.
    9. Rosina Wanyama & Pepijn Schreinemachers & Justus Ochieng’ & Omary Bwambo & Roselyne Alphonce & Fekadu Fufa Dinssa & Ya-ping Lin & Roland Schafleitner, 2023. "Adoption and impact of improved amaranth cultivars in Tanzania using DNA fingerprinting," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 15(5), pages 1185-1196, October.
    10. Wossen, Tesfamicheal & Abay, Kibrom A. & Abdoulaye, Tahirou, 2022. "Misperceiving and misreporting input quality: Implications for input use and productivity," Journal of Development Economics, Elsevier, vol. 157(C).
    11. Ola Tveitereid Westengen & Kristine Skarbø & Teshome Hunduma Mulesa & Trygve Berg, 2018. "Access to genes: linkages between genebanks and farmers’ seed systems," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(1), pages 9-25, February.
    12. Barrett, Christopher B. & Ghezzi-Kopel, Kate & Hoddinott, John & Homami, Nima & Tennant, Elizabeth & Upton, Joanna & Wu, Tong, 2021. "A Scoping Review of the Development Resilience Literature: Theory, Methods and Evidence," Working Papers 309952, Cornell University, Department of Applied Economics and Management.
    13. Michelson, Hope & Gourlay, Sydney & Lybbert, Travis & Wollburg, Philip, 2023. "Review: Purchased agricultural input quality and small farms," Food Policy, Elsevier, vol. 116(C).
    14. Spielman, David J. & Kennedy, Adam, 2016. "Towards better metrics and policymaking for seed system development: Insights from Asia's seed industry," Agricultural Systems, Elsevier, vol. 147(C), pages 111-122.
    15. Michelson, Hope & Fairbairn, Anna & Ellison, Brenna & Maertens, Annemie & Manyong, Victor, 2021. "Misperceived quality: Fertilizer in Tanzania," Journal of Development Economics, Elsevier, vol. 148(C).
    16. Muricho, Geoffrey & Odhiambo, Collins & Ojiewo, Chris, 2021. "Groundnut Variety Identification Among Smallholder Farmers in Northern Nigeria: DNA Fingerprinting and Farmers Self-Reported Adoption Status," 2021 Conference, August 17-31, 2021, Virtual 315132, International Association of Agricultural Economists.
    17. Tesfamicheal Wossen & Arega Alene & Tahirou Abdoulaye & Shiferaw Feleke & Ismail Y. Rabbi & Victor Manyong, 2019. "Poverty Reduction Effects of Agricultural Technology Adoption: The Case of Improved Cassava Varieties in Nigeria," Journal of Agricultural Economics, Wiley Blackwell, vol. 70(2), pages 392-407, June.
    18. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    19. Jovanovic, Nina & Ricker-Gilbert, Jacob, 2025. "Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia," Journal of Development Economics, Elsevier, vol. 174(C).
    20. Kibrom A. Abay & Tesfamicheal Wossen & Gashaw T. Abate & James R. Stevenson & Hope Michelson & Christopher B. Barrett, 2023. "Inferential and Behavioral Implications of Measurement Error in Agricultural Data," Annual Review of Resource Economics, Annual Reviews, vol. 15(1), pages 63-83, October.
    21. Victorino O. Floro & Ricardo A. Labarta & Luis A. Becerra López†Lavalle & Jose M. Martinez & Tatiana M. Ovalle, 2018. "Household Determinants of the Adoption of Improved Cassava Varieties using DNA Fingerprinting to Identify Varieties in Farmer Fields: A Case Study in Colombia," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(2), pages 518-536, June.
    22. Bohr, Nils & Deisemann, Tim & Gollin, Douglas & Kosmowski, Frédéric & Lybbert, Travis J., 2024. "The seeds of misallocation: Fertilizer use and maize varietal misidentification in Ethiopia," Journal of Development Economics, Elsevier, vol. 171(C).
    23. 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.
    24. Jessica B. Hoel & Hope Michelson & Ben Norton & Victor Manyong, 2024. "Misattribution prevents learning," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(5), pages 1571-1594, October.
    25. Reyes, Byron & Maredia, Mywish K. & Martínez, José María & Gómez, Lorena & Rosas, Juan Carlos & Miranda, Angela, 2025. "Adoption without gains, and vice-versa: Exploring the disconnect between improved bean varieties and yield in Central America and Haiti through the lens of seed systems," Agricultural Systems, Elsevier, vol. 230(C).
    26. Douglas Gollin & Casper Worm Hansen & Asger Mose Wingender, 2021. "Two Blades of Grass: The Impact of the Green Revolution," Journal of Political Economy, University of Chicago Press, vol. 129(8), pages 2344-2384.
    27. Fuglie, Keith O. & Echeverria, Ruben G., 2024. "The economic impact of CGIAR-related crop technologies on agricultural productivity in developing countries, 1961–2020," World Development, Elsevier, vol. 176(C).
    28. 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.
    29. Kibrom A. Abay & Leah E. M. Bevis & Christopher B. Barrett, 2021. "Measurement Error Mechanisms Matter: Agricultural Intensification with Farmer Misperceptions and Misreporting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 498-522, March.
    30. Erwin Bulte & Gonne Beekman & Salvatore Di Falco & Joseph Hella & Pan Lei, 2014. "Behavioral Responses and the Impact of New Agricultural Technologies: Evidence from a Double-blind Field Experiment in Tanzania," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(3), pages 813-830.
    31. Maredia, Mywish K. & Byerlee, Derek & Pee, Peter, 2000. "Impacts of food crop improvement research: evidence from sub-Saharan Africa," Food Policy, Elsevier, vol. 25(5), pages 531-559, October.
    Full references (including those not matched with items on IDEAS)

    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. Hope Michelson, 2025. "Navigating the Measurement Frontier: New Insights Into Small Farm Realities," Agricultural Economics, International Association of Agricultural Economists, vol. 56(3), pages 526-542, May.
    2. Wossen, Tesfamicheal & Abay, Kibrom A. & Abdoulaye, Tahirou, 2022. "Misperceiving and misreporting input quality: Implications for input use and productivity," Journal of Development Economics, Elsevier, vol. 157(C).
    3. Michelson, Hope & Gourlay, Sydney & Lybbert, Travis & Wollburg, Philip, 2023. "Review: Purchased agricultural input quality and small farms," Food Policy, Elsevier, vol. 116(C).
    4. Jovanovic, Nina & Ricker-Gilbert, Jacob, 2025. "Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia," Journal of Development Economics, Elsevier, vol. 174(C).
    5. Abay, Kibrom A. & Ayalew, Hailemariam & Terfa, Zelalem & Karugia, Joseph & Breisinger, Clemens, 2025. "How good are livestock statistics in Africa? Can nudging and direct counting improve the quality of livestock asset data?," Journal of Development Economics, Elsevier, vol. 176(C).
    6. Kibrom A. Abay & Tesfamicheal Wossen & Jordan Chamberlin, 2023. "Mismeasurement and efficiency estimates: Evidence from smallholder survey data in Africa," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 413-434, June.
    7. Bohr, Nils & Deisemann, Tim & Gollin, Douglas & Kosmowski, Frédéric & Lybbert, Travis J., 2024. "The seeds of misallocation: Fertilizer use and maize varietal misidentification in Ethiopia," Journal of Development Economics, Elsevier, vol. 171(C).
    8. Jovanovic, Nina & Ricker-Gilbert, Jacob, 2023. "Estimating the Direct and Indirect Effects of Improved Seed Adoption on Yields: Evidence from DNA-Fingerprinting, Crop cuts, and Self-Reporting in Ethiopia," 2023 Seventh AAAE/60th AEASA Conference, September 18-21, 2023, Durban, South Africa 365985, African Association of Agricultural Economists (AAAE).
    9. Abay, Kibrom A. & Barrett, Christopher B. & Kilic, Talip & Moylan, Heather & Ilukor, John & Vundru, Wilbert Drazi, 2023. "Nonclassical measurement error and farmers’ response to information treatment," Journal of Development Economics, Elsevier, vol. 164(C).
    10. Paola Mallia, 2022. "You reap what (you think) you sow? Evidence on farmers’behavioral adjustments in the case of correct crop varietal identification," PSE Working Papers hal-03597332, HAL.
    11. Wossen, Tesfamicheal & Spielman, David J. & Alene, Arega D. & Abdoulaye, Tahirou, 2024. "Estimating seed demand in the presence of market frictions: Evidence from an auction experiment in Nigeria," Journal of Development Economics, Elsevier, vol. 167(C).
    12. Abay, Kibrom A. & Chamberlin, Jordan & Chivenge, Pauline & Spielman, David J., 2025. "Fertilizer, soil health, and economic shocks: A synthesis of recent evidence," Food Policy, Elsevier, vol. 133(C).
    13. Holden, Stein T. & Makate, Clifton & Tione, Sarah, 2025. "Missing Parcels and Farm Size Measurement Error: Do Nationally Representative Surveys Provide Reliable Estimates?," CLTS Working Papers 4/25, Norwegian University of Life Sciences, Centre for Land Tenure Studies.
    14. Reyes, Byron & Maredia, Mywish K. & Martínez, José María & Gómez, Lorena & Rosas, Juan Carlos & Miranda, Angela, 2025. "Adoption without gains, and vice-versa: Exploring the disconnect between improved bean varieties and yield in Central America and Haiti through the lens of seed systems," Agricultural Systems, Elsevier, vol. 230(C).
    15. Ray, Srabashi, 2025. "Joint agricultural input use and food security: evidence from Tanzania," Food Policy, Elsevier, vol. 136(C).
    16. James R. Stevenson & Karen Macours & Douglas Gollin, 2023. "The Rigor Revolution: New Standards of Evidence for Impact Assessment of International Agricultural Research," Annual Review of Resource Economics, Annual Reviews, vol. 15(1), pages 495-515, October.
    17. Iqra Nazeer, 2024. "Optimizing Agricultural Inputs and Cropped Area Dynamics: A Decade-Long Analysis in Pakistan," International Journal of Agriculture & Sustainable Development, 50sea, vol. 6(2), pages 117-126, April.
    18. Abay,Kibrom A. & Barrett,Christopher B. & Kilic,Talip & Moylan,Heather G. & Ilukor,John & Vundru,Wilbert Drazi, 2022. "Nonclassical Measurement Error and Farmers’ Response to Information Reveal Behavioral Anomalies," Policy Research Working Paper Series 9908, The World Bank.
    19. Manda, Julius & Alene, Arega D. & Tufa, Adane H. & Abdoulaye, Tahirou & Wossen, Tesfamicheal & Chikoye, David & Manyong, Victor, 2019. "The poverty impacts of improved cowpea varieties in Nigeria: A counterfactual analysis," World Development, Elsevier, vol. 122(C), pages 261-271.
    20. Andrew Dillon & Nicoló Tomaselli, 2024. "Making Markets: Experiments in Agricultural Input Market Formation," Working Papers - Economics wp2024_18.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:eee:jfpoli:v:137:y:2025:i:c:s0306919225001897. 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.