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Counting the beans: quantifying the adoption of improved mungbean varieties in South Asia and Myanmar

Author

Listed:
  • Pepijn Schreinemachers

    (World Vegetable Center)

  • Teresa Sequeros

    (Independent consultant)

  • Saima Rani

    (Agricultural Economics Research Institute)

  • Md. Abdur Rashid

    (Bangladesh Agricultural Research Institute)

  • Nithya Vishwanath Gowdru

    (National Institute of Rural Development (NIRD)
    World Vegetable Center)

  • Muhammad Shahrukh Rahman

    (Bangladesh Agricultural Research Institute)

  • Mohammed Razu Ahmed

    (BARI Campus)

  • Ramakrishnan Madhavan Nair

    (World Vegetable Center)

Abstract

The adoption of improved varieties is an important indicator of the effectiveness of agricultural research. This study quantified the adoption of improved mungbean (Vigna radiata (L). Wilczek) varieties and agricultural practices in Bangladesh, India, Myanmar and Pakistan using an expert elicitation approach. Data were collected from 19 expert panels, organized at subnational levels and involving a total of 259 mungbean experts. The study found that improved varieties were planted on 94% of the mungbean area in Pakistan, 89% in Myanmar, 82% in India and 72% in Bangladesh. International mungbean breeding research conducted by the World Vegetable Center has had a major impact with its germplasm adopted by an estimated 1.2 million mungbean farmers and grown on 1.8 million hectares of land. Widespread variation in the adoption of improved technologies at subnational levels point to opportunities for increased mungbean yields such as the adoption of line sowing and mechanical harvesting, the use of seed treatments with biofertilizers and biopesticides, and the adoption of better varieties with more comprehensive disease resistance.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:ssefpa:v:11:y:2019:i:3:d:10.1007_s12571-019-00926-x
    DOI: 10.1007/s12571-019-00926-x
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    1. 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.
    2. Tsusaka, Takuji W. & Velasco, Ma. Lourdes & Yamano, Takashi & Pandey, Sushil, 2015. "Expert Elicitation for Assessing Agricultural Technology Adoption: The Case of Improved Rice Varieties in South Asian Countries," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 12(1), pages 1-15, June.
    3. Ochieng, Justus & Schreinemachers, Pepijn & Ogada, Maurice & Dinssa, Fekadu Fufa & Barnos, William & Mndiga, Hassan, 2019. "Adoption of improved amaranth varieties and good agricultural practices in East Africa," Land Use Policy, Elsevier, vol. 83(C), pages 187-194.
    4. Miah, M. A. Monayem & Akter, M. S. & Bakr, M. A., 2004. "Status Of Pulses Varieties Adoption In Bangladesh: A Farm Level Study," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 27(2), pages 1-16, December.
    5. 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.
    6. Shanmugasundaram, Subramanyam & Keatinge, J.D.H. & Hughes, Jacqueline d'Arros, 2009. "The mungbean transformation diversifying crops, defeating malnutrition: Diversifying crops, defeating malnutrition," IFPRI discussion papers 922, International Food Policy Research Institute (IFPRI).
    7. 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.
    8. Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
    9. 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.
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    Cited by:

    1. Cathy Rozel Farnworth & Aye Moe San & Nanda Dulal Kundu & Md Monjurul Islam & Rownok Jahan & Lutz Depenbusch & Ramakrishnan Madhavan Nair & Theingi Myint & Pepijn Schreinemachers, 2020. "How Will Mechanizing Mung Bean Harvesting Affect Women Hired Laborers in Myanmar and Bangladesh?," Sustainability, MDPI, vol. 12(19), pages 1-22, September.
    2. Andersen Onofre, Kelsey F. & Forbes, Gregory A. & Andrade-Piedra, Jorge L. & Buddenhagen, Chris E. & Fulton, James C. & Gatto, Marcel & Khidesheli, Zurab & Mdivani, Rusudan & Xing, Yanru & Garrett, Ka, 2021. "An integrated seed health strategy and phytosanitary risk assessment: Potato in the Republic of Georgia," Agricultural Systems, Elsevier, vol. 191(C).

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