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Household Determinants of the Adoption of Improved Cassava Varieties using DNA Fingerprinting to Identify Varieties in Farmer Fields: A Case Study in Colombia

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  • Victorino O. Floro
  • Ricardo A. Labarta
  • Luis A. Becerra López†Lavalle
  • Jose M. Martinez
  • Tatiana M. Ovalle

Abstract

We examine factors affecting the adoption of improved cassava varieties of 217 households in the Cauca Department in southwest Colombia. Using DNA fingerprinting through Single Nucleotide Polymorphisms (SNPs), we identified different cultivars in farmers fields. We also used this information to remove possible bias in the adoption model that could have resulted from a misclassification of improved varieties (IVs). As a result, we found that farmers substantially overestimate their use of IVs and there are important differences in the determinants of adoption between farmer self†identification and DNA fingerprinting. This finding implies that the incorporation of DNA fingerprinting in IV adoption studies is important to ensure the accuracy of future agricultural economic research and the relevance of subsequent policy recommendations.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:jageco:v:69:y:2018:i:2:p:518-536
    DOI: 10.1111/1477-9552.12247
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    Cited by:

    1. Tibamanya, Felister Y. & Henningsen, Arne & Milanzi, Mursali A., 2021. "Drivers of and Barriers to Adoption of Improved Sunflower Varieties amongst Smallholder Farmers in Singida, Tanzania: the Double-Hurdle Approach," 2021 Conference, August 17-31, 2021, Virtual 315262, International Association of Agricultural Economists.
    2. 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.
    3. Monika Verma & Christine Plaisier & Coen P. A. van Wagenberg & Thom Achterbosch, 2019. "A Systems Approach to Food Loss and Solutions: Understanding Practices, Causes, and Indicators," Sustainability, MDPI, vol. 11(3), pages 1-22, January.
    4. Laura Perez-Fons & Tatiana M Ovalle & M N Maruthi & John Colvin & Luis Augusto Becerra Lopez-Lavalle & Paul D Fraser, 2020. "The metabotyping of an East African cassava diversity panel: A core collection for developing biotic stress tolerance in cassava," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-16, November.
    5. Catherine Larochelle & Jeffrey Alwang, 2022. "Impacts of Improved Bean Varieties Adoption on Dietary Diversity and Food Security in Rwanda," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(2), pages 1144-1166, April.
    6. Paola Mallia, 2022. "You reap what (you think) you sow? Evidence on farmers’behavioral adjustments in the case of correct crop varietal identification," Working Papers hal-03597332, HAL.
    7. 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.
    8. 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.
    9. Cu Thi Le Thuy & Luis Augusto Becerra Lopez-Lavalle & Nguyen Anh Vu & Nguyen Huu Hy & Pham Thi Nhan & Hernan Ceballos & Jonathan Newby & Nguyen Ba Tung & Nguyen Trong Hien & Le Ngoc Tuan & Nguyen Hung, 2021. "Identifying New Resistance to Cassava Mosaic Disease and Validating Markers for the CMD2 Locus," Agriculture, MDPI, vol. 11(9), pages 1-15, August.
    10. Tyack, Nicholas & Arouna, Aminou & Amoah, Nana & Aboudou, Rachidi, 2023. "Farmer uncertainty and demand for rice varietal identity information: DNA fingerprinting of smallholder rice varieties in Côte d’Ivoire," 2023 Annual Meeting, July 23-25, Washington D.C. 335831, Agricultural and Applied Economics Association.
    11. 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.
    12. 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).
    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. 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).

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