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Understanding the potential for adoption of high-iron varieties of pearl millet in Maharashtra, India: what explains their popularity?

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Abstract

Pearl millet is one of the most important food staples of poorer populations in the drylands of India. To better understand the potential market for high-iron, pearl millet hybrids, we explored factors associated with growing pearl millet, and those that influence whether farmers grow major (popular) hybrids, as compared with minor cultivars in the State of Maharashtra. We tested the relationships among cultivar choice, seed source, and information sources. The data confirm that pearl millet is more likely to be grown by poorer households in drier, drought-prone areas. Scheduled castes are more likely to grow popular hybrids, and less likely to grow minor cultivars, but are no less likely to acquire seed from commercial vendors than less privileged people. Farmers who ascribe more importance to consumption attributes are more likely to grow minor than popular hybrids. De facto, popular pearl millet varieties are likely to reach less privileged farmers. To attain adoption potential, popular hybrids could be targeted for iron enrichment, and commercial marketing strategies should be pursued with diversified public and private sector partnerships.

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Notes

  1. High-iron pearl millet varieties are developed by ICRISAT (International Crops Research Institute for the Semi-Arid Tropics) with funding and guidance provided by HarvestPlus (www.harvestplus.org). The first high iron pearl millet variety – an open pollinated variety – was commercialized in 2012 as truthfully labelled seed in partnership with a private seed company (Nirmal Seeds). In 2014, this variety was officially released and notified as Dhanashakti for growing in major pearl millet growing areas of India. In the same year, a hybrid high-iron pearl millet variety was commercialized in partnership with another private seed company (Shakti Hybrid Vardhak Seed). Currently, an estimated 125,000 farming households are growing one or the other of these in several major pearl millet growing areas of Maharashtra, Rajasthan, Uttar Pradesh, Tamil Nadu, Karnataka, Haryana and Andra Pradesh. Several other high-iron, pearl millet hybrids, with even higher levels of iron, are currently in the breeding pipeline.

  2. Fewer than 5 % of farmers grew more than one pearl millet cultivar, and given the data structure of the survey instrument, it was difficult to match all information on the second cultivar. For these farmers, only the primary cultivar is included.

References

  • Adesina, A. A., & Zinnah, M. M. (1993). Technology characteristics, farmer perceptions and adoption decisions: a tobit model application in Sierra Leone. Agricultural Economics, 9, 297–311.

    Article  Google Scholar 

  • Agmarknet. (2014). Statistical and Analytical Reports. Ministry of Agriculture, Government of India Directorate of Marketing & Inspection. Accessed June 28, 2014, at http://agmarkweb.dacnet.nic.in/sa_reports_menu.aspx.

  • Asare-Marfo, D., Birol, E., Karandikar, B., Roy, D., Singh, S. (2010). Varietal Adoption of Pearl Millet (bajra) in Maharashtra and Rajasthan, India: A Summary Paper. HarvestPlus project report. Washington, DC: International Food Policy Research Institute.

  • Banerji, A., Birol, E., Karandikar, B., Rampal, J. (2015). Information, Branding, Certification, and Consumer Willingness to Pay for High-Iron Pearl Millet: Evidence from Experimental Auctions in Maharashtra, India. HarvestPlus Working Paper No. 17. Washington DC, USA: International Food Policy Research Institute.

  • Birol, E., Asare-Marfo, D., Fiedler, J., Ha, B., Lividini, K., Moursi, M., Meenakshi, J.V., Stein, A., Zeller, M. (2014). Cost-Effectiveness of Biofortification. Biofortification Progress Briefs, No. 25. Washington, DC, USA: International Food Policy Research Institute.

  • Birol, E., Asare-Marfo, D., Karandikar, B., Roy, D., & Diressie, M. T. (2015). Investigating demand for biofortified seeds in developing countries: high-iron pearl millet in India. Journal of Agribusiness in Developing and Emerging Economies, 5(1), 25–43.

    Article  Google Scholar 

  • CGD (Climate and Global Dynamics Laboratory). (2012). Palmer Drought Severity Index (PDSI). Accessed September 25, 2014, at http://www.cgd.ucar.edu/cas/catalog/climind/pdsi.html.

  • Deb, U. K., Bantilan, M. C. S., & Rai, K. N. (2005). Impacts of Improved Pearl Millet Cultivars in India. In P. K. Joshi, S. Pal, P. S. Birthal, & M. C. S. Bantilan (Eds.), Impact of agricultural research: Post-green revolution evidence from India (pp. 85–99). New Delhi: National Centre for Agricultural Economics and Policy Research.

    Google Scholar 

  • Edmeades, S., & Smale, M. (2006). A trait-based model of the potential demand for a genetically engineered food crop in a developing country. Agricultural Economics, 35, 351–361.

    Article  Google Scholar 

  • Foster, A., & Rosensweig, M. (1995). Learning by doing and learning from others: human capital and technical change in agriculture. Journal of Political Economy, 103, 1176–1209.

    Article  Google Scholar 

  • HarvestChoice. (2011). “Travel Time to Market Centers.” Washington, DC, and St. Paul, MN, USA: International Food Policy Research Institute and University of Minnesota. Available at http://harvestchoice.org/node/1448.

  • HarvestPlus. (2010). Country Crop Profile: Iron Pearl Millet in India. Washington: International Food Policy Research Institute.

    Google Scholar 

  • Hiebert, D. (1974). Risk, learning and the adoption of fertilizer responsive varieties. American Journal of Agricultural Economics, 56, 764–768.

    Article  Google Scholar 

  • Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., & Jarvisc, A. (2005). Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25(15), 1965–1978. doi:10.1002/joc.1276.

    Article  Google Scholar 

  • Hintze, L. H., Renkow, M., & Sain, G. (2003). Variety characteristics, transactions costs, and maize adoption in honduras. Agricultural Economics, 29, 307–317.

    Article  Google Scholar 

  • Jones, P., & Harris, I. (2013). CRU TS3.21: Climatic Research Unit (CRU) Time-Series (TS) Version 3.21 of High Resolution Gridded Data of Month-by-Month Variation in Climate (Jan. 1901–Dec. 2012). NCAS British Atmospheric Data Centre. doi:10.5285/D0E1585D-3417-485F-87AE-4FCECF10A992.

    Google Scholar 

  • Kolady, D. E., Spielman, D. J., & Cavalieri, A. (2012). The impact of seed policy reforms and intellectual property rights on crop productivity in India. Journal of Agricultural Economics, 63(2), 361–384. doi:10.1111/j.1477-9552.2012.00335.x.

    Article  Google Scholar 

  • Lancaster, Kelvin J. (1966). A new approach to consumer theory. Journal of Political Economy 74,2: 132–157. doi:10.1086/259131

  • Lele, U., & Goldsmith, A. A. (1989). The development of national agricultural research capacity: India’s experience with the rockefeller foundation and its significance for Africa. Chicago: University of Chicago.

    Google Scholar 

  • Maddala, G. S. (1983). Limited-dependent and qualitative variables in econometrics. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Matuschke, I., & Qaim, M. (2008). Seed market privatization and farmers’ access to crop technologies: the case of hybrid pearl millet adoption in India. Journal of Agricultural Economics (The Agricultural Economics Society), 59, 498–515. doi:10.1111/j.1477-9552.2008.00159.x.

    Article  Google Scholar 

  • Meenakshi, J. V., Johnson, N. L., Manyong, V. M., Degroote, H., Javelosa, J., Yanggen, D. R., Naher, F., Gonzalez, C., García, J., & Meng, E. (2010). How cost-effective is biofortification in combating micronutrient malnutrition? An ex ante assessment. World Development (Elsevier Ltd), 38(1), 64–75.

    Article  Google Scholar 

  • Nagarajan, L., & Smale, M. (2006). Community Seed Systems and the Biodiversity of Millet Crops in Southern India. In M. Smale (Ed.), Valuing crop biodiversity: On-farm genetic resources and economic change. Wallingford: CABI.

    Google Scholar 

  • Nagarajan, L., Smale, M., & Glewwe, P. (2005). Comparing farm and village-level determinants of millet diversity in marginal environments of India: The context of seed systems. IFPRI Discussion Paper. Washington: International Food Policy Research Institute.

    Google Scholar 

  • Pray, C. E., & Nagarajan, L. (2009). Improving Crops for Arid Lands: Pearl Millet and Sorghum in India. In D. J. Spielman & R. Pandya-Lorch (Eds.), Millions Fed: Proven Successes in Agricultural Development (pp. 83–88). Washington: International Food Policy Research Institute.

    Google Scholar 

  • Pray, C. E., Ramaswami, B., & Kelley, T. (2001). The impact of economic reforms on R&D by the Indian seed industry. Food Policy (Elsevier Science Ltd.), 26, 587–598.

    Article  Google Scholar 

  • Ramankutty, N., Evan, A. T., Monfreda, C., Foley, J. A. (2008). Farming the Planet: 1. Geographic Distribution of Global Agricultural Lands in the year 2000. Global Biogeochemical Cycles (American Geophysical Union), 22(1).

  • Schroff, S., & Kajale, J. (2013). Assessment of marketable and marketed surplus of major foodgrains in Maharashtra. Maharashtra: Gokhale Institute of Politics and Economics, Agro-Economic Research Centre.

    Google Scholar 

  • Siebert, S., Henrich, V., Frenken, K., & Burke, J. (2013). Global Map of Irrigation Areas Version 5. Bonn: Rheinische Friedrich-Wilhelms-University and Food and Agriculture Organization of the United Nations.

    Google Scholar 

  • Singh, I., Squire, L., & Strauss, J. (Eds.). (1986). Agricultural household models. Extension, applications and policy. Maryland: The Johns Hopkins University Press Baltimore.

    Google Scholar 

  • Smale, M., Bellon, M., & Aguirre, A. (2001). Maize diversity, variety attributes, and farmers’ choices in Southeastern Guanajuato, Mexico. Economic Development and Cultural Change, 50(1), 201–225.

    Article  Google Scholar 

  • Tripp, R., & Pal, S. (2000). Information and agricultural input markets: pearl millet seed in Rajasthan. Journal of International Development, 12, 133–144.

    Article  Google Scholar 

  • Useche, P., Barham, B. L., & Foltz, J. D. (2012). Trait-based adoption models using ex-ante and ex-post approaches. American Journal of Agricultural Economics, 95(2), 332–338. doi:10.1093/ajae/aas044.

    Article  Google Scholar 

  • Wilde, J. (2000). Identification of multiple equation probit models with endogenous dummy regressors. Economics Letters, 69, 309–312.

    Article  Google Scholar 

  • Yadav, O. P., Rai, K. N., Rajpurohit, B. S., Hash, C. T., Mahala, R. S., Gupta, S. K., Shetty, H. S., Bishnoi, H. R., Rathore, M. S. (2012). Twenty-five Years of Pearl Millet Improvement in India. All-India Coordinated Pearl Millet Improvement Programme. New Delhi, India: Indian Council of Agricultural Research.

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Correspondence to Melinda Smale.

Appendices

Annex 1

Table 5 List of traits included in trait score

Annex 2

Table 6 Diagnostic statistics for recursive, multivariate probit regression of cultivar choice and information source

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Smale, M., Diressie, M.T. & Birol, E. Understanding the potential for adoption of high-iron varieties of pearl millet in Maharashtra, India: what explains their popularity?. Food Sec. 8, 331–344 (2016). https://doi.org/10.1007/s12571-016-0559-9

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