An appraisal of cotton growers’ perceptions regarding consequences of climate variations causing adoption of Climate-smart agricultural practices in Punjab, Pakistan

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Research Paper 01/10/2021
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An appraisal of cotton growers’ perceptions regarding consequences of climate variations causing adoption of Climate-smart agricultural practices in Punjab, Pakistan

Farhan Ullah Basharat, Ejaz Ashraf, Muhammad Luqman, Saima Sadaf, Mujahid Iqbal, Muhammad Irfan Ullah, Muhammad Usman Saleem
Int. J. Biosci.19( 4), 53-65, October 2021.
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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.


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