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Asiatic cotton can generate similar economic benefits to Bt cotton under rainfed conditions


American cotton (Gossypium hirsutum L.), transformed with Bacillus thuringiensis Cry genes (Bt G. hirsutum) that confer resistance to lepidopteran pests, is extensively cultivated worldwide. In India, transgenic Bt G. hirsutum was commercially released in 2002 and by 2014 95% of farmers had adopted Bt G. hirsutum1. The economic benefits of Bt G. hirsutum over non-Bt G. hirsutum are well documented and include increase in yields, increase in farmers' net revenue and reduction in pesticide application against lepidopteran pests29. However, it is unclear to what extent irrigation influences the performance of Bt G. hirsutum on smallholder farming in India, and if, in the absence of irrigation, growing Bt G. hirsutum provides greater economic benefits for Indian smallholder farmers compared with growing the Asiatic cotton Gossypium arboreum L. Here, we compare the economic impact of growing Bt G. hirsutum with growing G. arboreum under rainfed conditions in the Indian state of Maharashtra, and show that G. arboreum can generate similar net revenue, and thus similar economic benefits for smallholder farmers compared with growing Bt G. hirsutum. We also compare the economic impact of growing Bt G. hirsutum under rainfed conditions with growing Bt G. hirsutum under irrigated conditions and show that even though Bt G. hirsutum yields increase with irrigation, the net revenue does not significantly increase because farmers using irrigation spend significantly more than farmers growing Bt G. hirsutum without irrigation. We conclude that our data provide a broader insight into how socio-economic data needs to be incorporated into agro-ecological data when planning strategies to improve cotton farming in India.

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Figure 1: Relationship between total expenditure and net revenue (left column), and yield and net revenue (right column) in rainfed G. arboreum (a,d), rainfed Bt G. hirsutum (b,e) and irrigated Bt G. hirsutum (c,f).
Figure 2: Relationship between farmers' wealth and expenditure (how much money farmers spent on a particular input).


  1. James, C. Global Status of Commercialized Biotech/GM Crops: 2014. Brief No. 49 (ISAAA, 2014).

    Google Scholar 

  2. Qaim, M. & Zilberman, D. Yield effects of genetically modified crops in developing countries. Science 299, 900–902 (2003).

    Article  CAS  Google Scholar 

  3. Morse, S., Bennett, R. M. & Ismael, Y. Genetically modified insect resistance in cotton: some farm level economic impacts in India. Crop Prot. 24, 433–440 (2005).

    Article  Google Scholar 

  4. Bennett, R., Kambhampati, U., Morse, S. & Ismael, Y. Farm-level economic performance of genetically modified cotton in Maharashtra, India. Rev. Agr. Econ. 28, 59–71 (2006).

    Article  Google Scholar 

  5. Qaim, M., Subramanian, A., Naik, G. & Zilberman, D. Adoption of Bt cotton and impact variability: insights from India. Rev. Agr. Econ. 28, 48–58 (2006).

    Article  Google Scholar 

  6. Carpenter, J. Peer-reviewed surveys indicate positive impact of commercialized GM crops. Nature Biotechnol. 28, 319–321 (2010).

    Article  CAS  Google Scholar 

  7. Kouser, S. & Qaim, M. Impact of Bt cotton on pesticide poisoning in smallholder agriculture: A panel data analysis. Ecol. Econ. 70, 2105–2113 (2011).

    Article  Google Scholar 

  8. Stone, G. Field versus farm in Warangal: Bt cotton, higher yields, and larger questions. World Dev. 39, 387–398 (2011).

    Article  Google Scholar 

  9. Kathage, J. & Qaim, M. Economic impacts and impact dynamics of Bt (Bacillus thuringiensis) cotton in India. Proc. Natl Acad. Sci. USA 109, 11652–11656 (2012).

    Article  CAS  Google Scholar 

  10. Gill, S. S., Singh, S. & Brar, J. S. in Economic and Environmental Sustainability in the Asian Region (eds Gill, S. S., Singh, L. & Marwah, R. ) 419–442 (Routledge, 2010).

    Google Scholar 

  11. Kulkarni, V. N., Khadi, B. M., Maralappanavar, M. S., Deshapande, L. A. & Narayanan, S. S. in Genetics and Genomics of Cotton, Plant Genetics and Genomics: Crops and Models (ed. Paterson, A. H. ) 69–97 (Springer, 2009).

    Book  Google Scholar 

  12. Khadi, B. M., Santhy, V. & Yadav, M. S. in Cotton: Biotechnological Advances (ed. Zehr, U. B. ) 15–40 (Springer, 2010).

    Book  Google Scholar 

  13. Maqbool, A. et al. Identification and expression of six drought-responsive transcripts through differential display in Desi cotton (Gossypium arboreum). Mol. Biol. 42, 492–498 (2008).

    Article  CAS  Google Scholar 

  14. Kalamkar, S. S. in Agricultural Growth and Productivity in Maharashtra. Trends and Determinants Ch. 4 (Allied Publishers, 2011).

    Google Scholar 

  15. Kumar, R., Singh, R. D. & Sharma, K. D. Water resources in India. Curr. Sci. India 89, 794–811 (2005).

    Google Scholar 

  16. Rodell, M., Velicogna, I. & Famiglietti, J. S. Satellite-based estimates of groundwater depletion in India. Nature 460, 999–1003 (2009).

    Article  CAS  Google Scholar 

  17. Elliott, J. et al. Constraints and potentials of future irrigation water availability on agricultural production under climate change. Proc. Natl Acad. Sci. USA 111, 3239–3244 (2014).

    Article  CAS  Google Scholar 

  18. Jayaraman, K. Poor crop management plagues Bt cotton experiment in India. Nature Biotechnol. 20, 1069 (2002).

    Article  CAS  Google Scholar 

  19. Cattaneo, M. et al. Farm-scale evaluation of the impacts of transgenic cotton on biodiversity, pesticide use, and yield. Proc. Natl Acad. Sci. USA 103, 7571–7576 (2006).

    Article  CAS  Google Scholar 

  20. Viswanathan, P. K. & Lalitha, N. in Economic and Environmental Sustainability in the Asian Region (eds Gill, S. S., Singh, L. & Marwah, R. ) 391–418 (Routledge, 2010).

    Google Scholar 

  21. Sharma, H., Agarwal, R. & Singh, M. Effect of some antibiotic compounds in cotton on post-embryonic development of spotted bollworm (Earias vittella F.) and the mechanism of resistance in Gossypium arboreum. Proc. Indian Acad. Sci. (Anim. Sci.) 91, 67–77 (1982).

    Article  CAS  Google Scholar 

  22. Nibouche, S., Brevault, T., Klassou, C., Dessauw, D. & Hau, B. Assessment of the resistance of cotton germplasm (Gossypium spp.) to aphids (Homoptera, Aphididae) and leafhoppers (Homoptera: Cicadellidae, Typhlocybinae): methodology and genetic variability. Plant Breed. 127, 376–382 (2008).

    Article  Google Scholar 

  23. Akhtar, K. P. et al. Evaluation of Gossypium species for resistance to cotton leaf curl Burewala virus. Ann. Appl. Biol. 157, 135–147 (2010).

    Article  CAS  Google Scholar 

  24. Miyazaki, J., Stiller, W. N. & Wilson, L. J. Novel cotton germplasm with host plant resistance to twospotted spider mite. Field Crop Res. 134, 114–121 (2012).

    Article  Google Scholar 

  25. Ahuja, S. L. et al. Development of Gossypium hirsutum lines with cytoplasmic bollworm tolerance from Gossypium arboreum and Gossypium tomentosum. Plant Breed. 128, 712–715 (2009).

    Article  Google Scholar 

  26. Chandra, M. & Sreenivasan, S. Studies on improved cotton: Part I – Fibre quality parameters. Ind. J. Fibre Textile Res. 36, 24–34 (2011).

    CAS  Google Scholar 

  27. Kranthi, K. R. Long Live Swadesi Cotton. Cotton Statistics and News (Cotton Association of India, 2013).

    Google Scholar 

  28. Dadgale, P. R. et al. Productivity and quality of Bt cotton (Gossypium hirsutum) as influenced by planting geometry and nitrogen levels under irrigated and rainfed conditions. Indian J. Agr. Sci. 84, 1069–1072 (2014).

    Google Scholar 

  29. Stone, G. Agricultural deskilling and the spread of genetically modified cotton in Warangal. Curr. Anthropol. 48, 67–103 (2007).

    Article  Google Scholar 

  30. Burnham, K. P. & Anderson, D. R. Model Selection and Multimodel Inference: a Practical Information-Theoretic Approach (Springer-Verlag, 2002).

    Google Scholar 

  31. R Development Core Team R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2013).

Download references


Sincere thanks go to V. Ladole and all his team from the Indian NGO ‘Community Action for Rural Development’, whose collaboration was key to the success of this study. We especially thank S. Ladole, R. Ramrao, H-H. Tao, D. Jorda and M. Manoj for helping us with the fieldwork. This research was funded by the John Templeton Foundation.

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All authors contributed to the study design and are responsible for the integrity of the work as a whole. L.D. and K.W. secured funding for the project. C.R.D. did the fieldwork and analysed and interpreted the data along with M.B.B. C.R.D. wrote the manuscript with the input of all co-authors, especially L.D.

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Correspondence to Carla Romeu-Dalmau or Liam Dolan.

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The authors declare no competing financial interests.

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Romeu-Dalmau, C., Bonsall, M., Willis, K. et al. Asiatic cotton can generate similar economic benefits to Bt cotton under rainfed conditions. Nature Plants 1, 15072 (2015).

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