Assessing the Adoption of Climate Resilient Agricultural Technologies by the Farmers of Telangana State

Authors

  • Boda Mahesh Naik Research Scholar, Department of Extension Education, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi-221005, Uttar Pradesh, India
  • A. K. Singh Professor, Department of Extension Education, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi-221005, Uttar Pradesh, India
  • Himadri Roy Research Scholar,Department of Extension Education, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi-221005, Uttar Pradesh, India
  • Saikat Maji Assistant Professor, Department of Extension Education, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi-221005, Uttar Pradesh, India

DOI:

https://doi.org/10.48165/IJEE.2023.59117

Keywords:

Climate change, Climate resilient agriculture, Adoption, NICRA, Technologies

Abstract

In agriculture sector, the effect of climate change seems to have become inevitable during the last few decades. Hence, the technologies for climate-resilient agriculture (CRA) are probably the best adaptation solutions currently available to improve the resilience of agriculture. The study to access the extent of adoption of CRA technologies by the farmers in the National Innovations in Climate Resilient Agriculture (NICRA) project implemented villages of Suryapet and Khammam districts in Telangana state was conducted during 2021-22. Total 200 farmers from these two districts were selected randomly to evaluate the adoption status of recommended CRA technologies and its association with the respondents’ profile characteristics. The respondents had adopted CRA technologies at medium to high levels with the majority of beneficiaries adopting technologies like deep ploughing, in-situ moisture conservation technologies in cotton and red gram, crop diversification from paddy to jowar and vegetables as a contingent crop, improved variety of paddy Siddhi WGL-44 and improved backyard poultry breeds. The profile characteristics viz., education, annual income, land holding, individual and mass media exposure, economic motivation, risk-taking ability, and innovative proneness had a positive and significant association with the extent of adoption of CRA technologies. 

Downloads

Download data is not yet available.

References

Adamson, D., Loch, A., & Schwabe, K. (2017). Adaptation responses to increasing drought frequency. Australian Journal of Agricultural and Resource Economics, 61, 385–403.

Brar, H. S., Sharma, A., & Gill, J. S. (2020). Adaptation strategies being followed by paddy growers towards climate change in Punjab state. Indian Journal of Extension Education, 56(3), 107-110. http:// epubs.icar.org.in/ejournal/index.php/ijee/article/view/ 106996

Chouksey, R., Singh, K. C., Singh, C., & Birle, Y. (2021). Adaptation of farmers regarding climate resilient technologies in Rewa block of Rewa District in Madhya Pradesh. Indian Journal of Extension Education, 57(1), 26-31.

Di Falco, S., & Veronesi, M. (2013). How can African agriculture adapt to climate change? A counterfactual analysis from Ethiopia. Land Economics, 89, 743–766.

Gunathilaka, R. P. D., Smart, J. C. R., Fleming, C. M., & Hasan, S. (2018). The impact of climate change on labour demand in the

plantation sector: the case of tea production in Sri Lanka. Australian Journal of Agricultural and Resource Economics, 62, 480–500.

Harikrishna, Y. V., Naberia, S., Pradhan, S., & Hansdah, P. (2019). Agro-economic impact of climate resilient practices on farmers in Anantapur district of Andhra Pradesh. Indian Journal of Extension Education, 55(4), 91-95.

IPCC (2007). Climate Change 2007: Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK.

Mohokar, S. D., Gohad, V. V., Ingawale, P. A., & Holkar, V. V. (2019). Impact of national innovations on climate resilient agriculture (NICRA) project on beneficiaries. Agriculture Update, 14(3), 220- 223. https://www.cabdirect.org/cabdirect/abstract/ 20193521498

Pabba, A. S., Naik, V. R., & Rani, V. S., (2022). Adoption of climate resilient agricultural technologies by farmers in Nalgonda district of Telangana state. Indian Journal of Extension Education, 58, 30-34.

Rai, R. K., Bhatta, L. D., Acharya, U., & Bhatta, A. P. (2018). Assessing climate-resilient agriculture for smallholders. Environmental Development, 27, 26-33.

Singh, A. K. (1977). Training needs of farmers. Rural India, 40(4), 78-79. Supe, S. V. (2007). Measurement techniques in social sciences. Agrotech Publishing Academy, Udaipur.

Tibesigwa, B., Visser, M., & Turpie, J. (2014). The impact of climate change on net revenue and food adequacy of subsistence farming households in South Africa. Environment and Development Economics, 20, 327–353.

Tol, R. S. J. (2018). The economic impacts of climate change. Review of Environmental Economics and Policy, 12, 4–25.

Vinaya Kumar, H. M., & Shivamurthy, M. (2021) Factor influencing fishery-based farmers’ perception and their response to climate induced crisis management. Environmental Development and Sustainability, 23, 11766–11791. https://doi.org/10.1007/s10668- 020-01141-x

Vinaya Kumar, H. M., Shivamurthy, M., Biradar, G. S., & Govinda Gowda, V. (2016). Fishery based farmers’ perception of climate change in coastal Karnataka (India). International Journal of Agriculture Sciences, 8(53), 2646-2650.

World Bank (2010). The costs to developing countries of adapting to climate change: New methods and estimates. http:// www.worldbank.org/eacc

Downloads

Published

2022-12-30

Issue

Vol. 59 No. 1 (2023): Indian Journal of Extension Education, (Jan-Mar), 2023

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Naik, B.M., Singh, A.K., Roy, H., & Maji, .S. (Trans.). (2022). Assessing the Adoption of Climate Resilient Agricultural Technologies by the Farmers of Telangana State. Indian Journal of Extension Education, 59(1), 81–85. https://doi.org/10.48165/IJEE.2023.59117
Crossref
Scopus
Google Scholar
Europe PMC