Economic impact assessment of soybean rust (Phakopsora pachyrhizi) resistance breeding in India: An ex-ante analysis


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Authors

  • PURUSHOTTAM SHARMA ICAR-National Institute of Agricultural Economics and Policy Research, New Delhi 110 012, India
  • B U DUPARE ICAR-Indian Institute of Soybean Research, Indore
  • SANJAY GUPTA ICAR-Indian Institute of Soybean Research, Indore
  • G T BASAVARAJA University of Agricultural Sciences, Bangalore
  • M P DESHMUKH Agricultural Research Station, Mahatma Phule krishi Vidyapeeth, Kasbe Digraj, Sangli, Maharashtra

https://doi.org/10.56093/ijas.v91i12.120791

Keywords:

Economic benefits, Impact assessment, Phakopsora pachyrhizi, Resistant varieties, Soybean rust

Abstract

Soybean rust (Phakopsora pachyrhizi Syd.) is one of the most prevalent soybean diseases particularly in Krishna basin area of Karnataka and Maharashtra, which can cause losses from 10-100%. The research conducted to estimate benefits from adoption of rust resistant soybean varieties in rust prone districts of Karnataka and Maharashtra using primary data collected from adopter and non-adopter farmers for the crop year 2017-18. Rust resistant varieties require less chemical pesticides and reduce yield loss. The study estimated potential economic benefits in terms of economic surplus for rust resistant varieties. In normal conditions, total benefits from the adoption of rust resistant soybean varieties using the economic surplus model was estimated at ` 198.8 crores per annum at a discount rate of 5% and ` 99.3 crores at 8% discount rate, respectively. Adoption of rust resistant varieties performed well over other varieties in reducing yield loss and cost of cultivation. The popularization of these varieties in rust prone areas to cope up with this biotic stress is needed.

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Submitted

2022-01-31

Published

2022-01-31

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How to Cite

SHARMA, P., DUPARE, B. U., GUPTA, S., BASAVARAJA, G. T., & DESHMUKH, M. P. (2022). Economic impact assessment of soybean rust (Phakopsora pachyrhizi) resistance breeding in India: An ex-ante analysis. The Indian Journal of Agricultural Sciences, 91(12), 1723–1726. https://doi.org/10.56093/ijas.v91i12.120791
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