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Yield effects of rust-resistant wheat varieties in Ethiopia

Author

Listed:
  • Zewdu Ayalew Abro

    (University of Goettingen)

  • Moti Jaleta

    (International Maize and Wheat Improvement Center (CIMMYT))

  • Matin Qaim

    (University of Goettingen)

Abstract

Breeding crops for disease resistance is a sustainable approach to reduce yield losses. While significant research on the adoption and impacts of improved crop varieties exists, most studies have analyzed yield effects in general without distinguishing between different varietal traits and characteristics. Here, panel data from wheat farmers in Ethiopia were used to compare improved varieties that are resistant to stripe rust (caused by Puccinia striiformis f. sp. tritici) with improved susceptible and traditional susceptible varieties. Production function estimates suggest that improved resistant varieties raise effective yields by 8% in comparison to local susceptible varieties. The yield difference between improved resistant and improved susceptible varieties is positive but small because rust levels were not very high in the years under study. However, under drought and other abiotic stresses, improved varieties – with and without resistance to stripe rust – performed notably worse than local varieties. The worse performance under abiotic stress may explain why many farmers have recently switched back to growing traditional varieties. Sustainable adoption needs a combination of various traits in the same varieties, including high yield potential, grain quality, disease resistance and tolerance to drought and other production stresses.

Suggested Citation

  • Zewdu Ayalew Abro & Moti Jaleta & Matin Qaim, 2017. "Yield effects of rust-resistant wheat varieties in Ethiopia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(6), pages 1343-1357, December.
    • Handle: RePEc:spr:ssefpa:v:9:y:2017:i:6:d:10.1007_s12571-017-0735-6
    DOI: 10.1007/s12571-017-0735-6
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    1. Matin Qaim & Arjunan Subramanian & Gopal Naik & David Zilberman, 2006. "Adoption of Bt Cotton and Impact Variability: Insights from India," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(1), pages 48-58.
    2. Amartya K. Sen, 1966. "Peasants and Dualism with or without Surplus Labor," Journal of Political Economy, University of Chicago Press, vol. 74(5), pages 425-425.
    3. Hailemariam Teklewold & Menale Kassie & Bekele Shiferaw, 2013. "Adoption of Multiple Sustainable Agricultural Practices in Rural Ethiopia," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(3), pages 597-623, September.
    4. Vijesh Krishna & Matin Qaim & David Zilberman, 2016. "Transgenic crops, production risk and agrobiodiversity," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(1), pages 137-164.
    5. Salvatore Falco & Marcella Veronesi, 2018. "Managing Environmental Risk in Presence of Climate Change: The Role of Adaptation in the Nile Basin of Ethiopia," Natural Resource Management and Policy, in: Leslie Lipper & Nancy McCarthy & David Zilberman & Solomon Asfaw & Giacomo Branca (ed.), Climate Smart Agriculture, pages 497-526, Springer.
    6. Arturo Aguilar & Eliana Carranza & Markus Goldstein & Talip Kilic & Gbemisola Oseni, 2015. "Decomposition of gender differentials in agricultural productivity in Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 46(3), pages 311-334, May.
    7. Mather, D. L. & Bernsten, R. & Rosas, J. C. & Viana Ruano, A. & Escoto, D., 2003. "The economic impact of bean disease resistance research in Honduras," Agricultural Economics, Blackwell, vol. 29(3), pages 343-352, December.
    8. Barrett, Christopher B. & Bellemare, Marc F. & Hou, Janet Y., 2010. "Reconsidering Conventional Explanations of the Inverse Productivity-Size Relationship," World Development, Elsevier, vol. 38(1), pages 88-97, January.
    9. Octavio A. Ramirez & Sukant Misra & James Field, 2003. "Crop-Yield Distributions Revisited," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 108-120.
    10. Kilic, Talip & Zezza, Alberto & Carletto, Calogero & Savastano, Sara, 2017. "Missing(ness) in Action: Selectivity Bias in GPS-Based Land Area Measurements," World Development, Elsevier, vol. 92(C), pages 143-157.
    11. S. Savary & S. Bregaglio & L. Willocquet & D. Gustafson & D. Mason D’Croz & A. Sparks & N. Castilla & A. Djurle & C. Allinne & Mamta Sharma & V. Rossi & L. Amorim & A. Bergamin & J. Yuen & P. Esker & , 2017. "Crop health and its global impacts on the components of food security," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(2), pages 311-327, April.
    12. Carletto, Calogero & Savastano, Sara & Zezza, Alberto, 2013. "Fact or artifact: The impact of measurement errors on the farm size–productivity relationship," Journal of Development Economics, Elsevier, vol. 103(C), pages 254-261.
    13. Philip G. Pardey & Julian M. Alston & Connie Chan-Kang & Eduardo C. Magalhães & Stephen A. Vosti, 2006. "International and Institutional R&D Spillovers: Attribution of Benefits among Sources for Brazil's New Crop Varieties," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 104-123.
    14. Yakubu Abdul-Salam & Euan Phimister, 2017. "Efficiency Effects of Access to Information on Small-scale Agriculture: Empirical Evidence from Uganda using Stochastic Frontier and IRT Models," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 494-517, June.
    15. Menale Kassie & Hailemariam Teklewold & Paswel Marenya & Moti Jaleta & Olaf Erenstein, 2015. "Production Risks and Food Security under Alternative Technology Choices in Malawi: Application of a Multinomial Endogenous Switching Regression," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(3), pages 640-659, September.
    16. Marasas, C. N. & Smale, M. & Singh, R. P., 2003. "The economic impact of productivity maintenance research: breeding for leaf rust resistance in modern wheat," Agricultural Economics, Blackwell, vol. 29(3), pages 253-263, December.
    17. Christopher B. Barrett & Christine M. Moser & Oloro V. McHugh & Joeli Barison, 2004. "Better Technology, Better Plots, or Better Farmers? Identifying Changes in Productivity and Risk among Malagasy Rice Farmers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 869-888.
    18. Salvatore Di Falco & Marcella Veronesi, 2014. "Managing Environmental Risk in Presence of Climate Change: The Role of Adaptation in the Nile Basin of Ethiopia," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(4), pages 553-577, April.
    19. Hertel, Thomas W., 2015. "The Challenges of Sustainably Feeding a Growing Planet," 2015 Conference (59th), February 10-13, 2015, Rotorua, New Zealand 202525, Australian Agricultural and Resource Economics Society.
    20. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    21. Mather, David & Bernsten, Richard H. & Rosas, Juan Carlos & Ruano, Abelardo Viana & Escoto, Danilo & Martinez, Julio, 2003. "The Impact Of Bean Research In Honduras," Staff Paper Series 11496, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    22. Sophia Rabe-Hesketh & Anders Skrondal, 2012. "Multilevel and Longitudinal Modeling Using Stata, 3rd Edition," Stata Press books, StataCorp LP, edition 3, number mimus2, March.
    23. Douglas Gollin & Michael Morris & Derek Byerlee, 2005. "Technology Adoption in Intensive Post-Green Revolution Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(5), pages 1310-1316.
    24. Matuschke, Ira & Mishra, Ritesh R. & Qaim, Matin, 2007. "Adoption and Impact of Hybrid Wheat in India," World Development, Elsevier, vol. 35(8), pages 1422-1435, August.
    25. Salvatore Di Falco & Jean‐Paul Chavas & Melinda Smale, 2007. "Farmer management of production risk on degraded lands: the role of wheat variety diversity in the Tigray region, Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 36(2), pages 147-156, March.
    26. George E. Battese, 1997. "A Note On The Estimation Of Cobb‐Douglas Production Functions When Some Explanatory Variables Have Zero Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 250-252, January.
    27. Marasas, C.N. & Smale, Melinda & Singh, R.P., 2004. "The Economic Impact in Developing Countries of Leaf Rust Resistance Breeding in CIMMYT-Related Spring Bread Wheat," Economics Program Papers 48768, CIMMYT: International Maize and Wheat Improvement Center.
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    2. Teferi, Ermias Tesfaye & Kassie, Girma T. & Pe, Mario Enrico & Fadda, Carlo, 2020. "Are farmers willing to pay for climate related traits of wheat? Evidence from rural parts of Ethiopia," Agricultural Systems, Elsevier, vol. 185(C).
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    5. Abro, Z.A. & Debela, B.L., 2018. "Technical change through crop improvement: are there synergies or tradeoffs in land productivity and efficiency?," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277086, International Association of Agricultural Economists.

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