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An Assessment of the Site-Specific Nutrient Management (SSNM) Strategy for Irrigated Rice in Asia

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  • Divina Gracia P. Rodriguez

    (Norwegian Institute of Bioeconomy Research, 1430 Ås, Norway)

Abstract

The site-specific nutrient management (SSNM) strategy provides guidelines for effective nitrogen, phosphorus and potassium management to help farmers make better decisions on fertilizer input and output levels in rice ( Oryza sativa ) production. The SSNM fertilizer recommendations are based on the yield goal approach, which has been frequently cited in empirical studies. This study evaluates the assumptions underlying the SSNM strategy for rice in the top rice-producing countries around the world, including India, Indonesia, the Philippines, Thailand, and Vietnam. Using a generalized quadratic production function, I explore whether major nutrients are substitutes as inputs and if there are complementarities between inorganic fertilizer and soil organic matter (SOM). The results suggest the relationships among major nutrients vary across sites—some inputs are complements, some are substitutes, and some are independent. The SOM also significantly affects the nitrogen fertilizer uptake. I conclude by suggesting that the SSNM strategy can be made to be more adaptive to farmer’s fields if these relationships are accounted for in the fertilizer recommendation algorithm.

Suggested Citation

  • Divina Gracia P. Rodriguez, 2020. "An Assessment of the Site-Specific Nutrient Management (SSNM) Strategy for Irrigated Rice in Asia," Agriculture, MDPI, vol. 10(11), pages 1-28, November.
    • Handle: RePEc:gam:jagris:v:10:y:2020:i:11:p:559-:d:447946
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    References listed on IDEAS

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    1. Quirino Paris, 1992. "The von Liebig Hypothesis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(4), pages 1019-1028.
    2. Paswel P. Marenya & Christopher B. Barrett, 2009. "State-conditional Fertilizer Yield Response on Western Kenyan Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 991-1006.
    3. Glenn Sheriff, 2005. "Efficient Waste? Why Farmers Over-Apply Nutrients and the Implications for Policy Design," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 27(4), pages 542-557.
    4. Peter Berck & Gloria Helfand, 1990. "Reconciling the von Liebig and Differentiable Crop Production Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(4), pages 985-996.
    5. Chambers,Robert G., 1988. "Applied Production Analysis," Cambridge Books, Cambridge University Press, number 9780521314275, September.
    6. Michael Morris & Valerie A. Kelly & Ron J. Kopicki & Derek Byerlee, 2007. "Fertilizer Use in African Agriculture : Lessons Learned and Good Practice Guidelines," World Bank Publications - Books, The World Bank Group, number 6650.
    7. David Dawe, 1998. "Reenergizing the Green Revolution in Rice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(5), pages 948-953.
    8. Peter Berck & Jacqueline Geoghegan & Stephen Stohs, 2000. "A Strong Test of the von Liebig Hypothesis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 948-955.
    9. Berck, Peter & Helfand, Gloria, 1990. "Mathematical Appendcies for: Reconciling the Von Liebig and Differentiable Crop Production Functions," CUDARE Working Papers 198468, University of California, Berkeley, Department of Agricultural and Resource Economics.
    10. Davidson, Russell & MacKinnon, James G., 1983. "Testing the specification of multivariate models in the presence of alternative hypotheses," Journal of Econometrics, Elsevier, vol. 23(3), pages 301-313, December.
    11. Grimm, Sadi S. & Paris, Quirino & Williams, William A., 1987. "A Von Liebig Model For Water And Nitrogen Crop Response," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 12(2), pages 1-11, December.
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