An appraisal of cotton growers’ perceptions regarding consequences of climate variations causing adoption of Climate-smart agricultural practices in Punjab, Pakistan
Paper Details
An appraisal of cotton growers’ perceptions regarding consequences of climate variations causing adoption of Climate-smart agricultural practices in Punjab, Pakistan
Abstract
Cotton is the main cash crop in Pakistan and the lifeline for the economy of the country. The present study was carried out in two districts Khanewal and Vehari of the Punjab province in Pakistan. The main objectives of the study were to explore the demographic profiles of the respondents; to assess the compliance of COVID-19 SOPs during field activities, to understand the perceptions of respondents regarding consequences of the climate variations; to assess the adoption level of the climate smart agricultural practices among the cotton growers, and to study the relationship of the adoption level of climate smart agricultural practices with those of demographic profiles of the respondents. A survey was conducted with the help of a well-structured survey instrument. The survey instrument was prepared on the likert-type scale to measure various factors involved in the study. Correlation analysis shows that education and compliance of COVID-19 SOPs have a weak positive significant correlation. Findings depicted that change in rainfall pattern is the main consequence of climate variation in the study area. Findings further showed that laser land leveling and mechanical weeding are the most adopted climate-smart agricultural practices by the cotton growers in the study area. It is also inferred from the results that an increase in education level and area under cotton cultivation may increase the trend for the adoption of climate smart agricultural practices, which will further result in the increase of cotton production in the country at large.
Al-Kaisi MM, Elmore RW, Guzman JG, Hanna HM, Hart CE, Helmers MJ, Hodgson EW, Lenssen AW, Mallarino AP, Robertson AE, Sawyer JE. 2013. Drought impact on crop production and the soil environment: 2012 experiences from Iowa Journal of Soil and Water Conservation 68(1), 19A-24A. http://doi.org/10.2489/jswc.68.1.19A
Bryan E, Ringler C, Okoba B, Roncoli C, Silvestri S, Herrerio M. 2013. Adapting agriculture to climate change in Kenya: Household strategies and determinants. Journal of Environmental Management 114, 26-35. https://doi.org/10.1016/j.jenvman.2012.10.036
Branca G, McCarthy N, Lipper L, Jolejole MC. 2011. Climate Smart Agriculture:A Synthesis of Empirical Evidence of Food Security and Mitigation Benefits from Improved Cropland Management. Retrieved from: on March 11, 2019 https://www.researchgate.net/publication/265276466
Blanco-Canqui H, Shapiro CA, Wortmann CS, Drijber RA, Mamo M, Shaver TM, Ferguson RB. 2013. Soil organic carbon: The value to soil properties. Journal of Soil and Water Conservation, 68(5), 129A-134A. https://doi.org/10.2489/jswc.68.5.129A
Casley DJ, Kumar K. 1989. The collection, analysis and use of monitoring and evaluation data. The World Bank, IFAD, FAO London: John Hophkins Univ. Press, Page-83. Retrieved from on 17-5-2018 http://documents.worldbank.org
Daniel A. 2015. Changes in extreme precipitation events over the central United States in AOGCM-driven regional climate model simulations. M.S. thesis, Iowa State University, Ames, IA.-USA, 25-29.
Delgado JA, Groffman PM, Nearing MA, Goddard T, Reicosky D, Lal R, Kitchen NR, Rice CW, Towery D, Salon P. 2011. Conservation practices to mitigate and adapt to climate change. Journal of Soil and Water Conservation 66(4), 118A- 129A. https://doi.org/10.2489/jswc.66.4.118A
Food and Agriculture Organization. 2013. Climate Smart Agriculture Source book, Rome, Italy. Retrieved from: on January 22, 2019 http://www.fao.org/3/i3325e/i3325e.pdf
Food and Agriculture Organization. 2011. FAO-Adapt Framework Program on Climate Change Adaptation. Rome, Italy. Retrieved from: on January 22, 2019. http://www.fao.org
Intergovernmental Panel on Climate Change. 2014. Summary for policymakers, Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and sectoral aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1–32.
Kaspar TC, Radke JK, Laflen JM. 2001. Small grain cover crops and wheel traffic effects on infiltration, runoff and erosion. Journal of Soil and Water Conservation 56(2), 160-164. Retrieved from: on May 2, 2019. https://www.jswconline.org/content/56/2/160
Naheed G, Rasul G. 2010. Recent water requirement of cotton crop in Pakistan. Pakistan Journal of Meteorology 6(12), 75-84.
Nisar UB, Khan MJ, Imran M, Khan MR, Farooq M, Ehsan SA, Ahmad A, Qazi HH, Rashid N, Manzoor T. 2021. Groundwater investigations in the Hattar industrial estate and its vicinity, Haripur diistrict Pakistan: An integrated approach. Kuwait Journal of Science, 48 (1), 106-115. https://doi.org/10.48129/kjs.v48i1.7820
Pakistan Bureau of Statistics, Government of Pakistan. 2019. Retrieved from: 2019 https://www.pbs.gov.pk/content/agriculture-statistics on July 11,
Steffen W, Richardson K, Rockström J, Cornell S, Fetzer I, Bennett EM, Biggs R, Carpenter SR, Vries Wd, Wit CA, Folke C, Gerten D, Heinke J, Mace GM, Persson LM, Ramanathan V, Reyers B, Sörlin S. 2015. Planetaryboundaries: Guiding human development on a changing planet. Science. 347 (6223), 1259855-1–1259855-10. https://doi.org/10.1126/science.1259855
United States Department of Agriculture. 2020. Cotton production by country. Retrieved from: on Feb. 20, 2021. https://www.indexmundi.com/agriculture/?commodity=cotton&graph=production
White PA. 2015. Can the soil save us? Making the case for cover crops as extremeweather risk management. National Wildlife Federation. Retrieved from: on Feb 22, 2020 https://www.nwf.org/~/media/PDFs/Water/2015/Drought-and-Flood-Report-Final.pdf
Winkler J, Arritt RW, Pryor S. 2012. Climate Projections for the Midwest: Availability, Interpretation and Synthesis. In: J. Winkler, J.A., J. Hatfield, D. Bidwell, and D.Brown (Ed.), U.S. National Climate Assessment Midwest Technical Input Report.
Wolfe DW. 2012. Contributions to Climate Change Solutions from the Agronomy Perspective. Handbook for Climate Change and Agroecosystems. 11-29. Retrieved from: on Feb.22, 2020. https://doi.org/10.1142/9781848169845_0002
World Bank. 2011. Climate-smart agriculture: increased productivity and food security, enhancing resilience and reduced carbon emissions for sustainable development, opportunities and challenges for a converging agenda: country examples. The World Bank, Washington, D.C.
Farhan Ullah Basharat, Ejaz Ashraf, Muhammad Luqman, Saima Sadaf, Mujahid Iqbal, Muhammad Irfan Ullah, Muhammad Usman Saleem (2021), An appraisal of cotton growers’ perceptions regarding consequences of climate variations causing adoption of Climate-smart agricultural practices in Punjab, Pakistan; IJB, V19, N4, October, P53-65
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