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Research Article Open access CC BY 4.0

Content Analysis of Knowledge and Adoption of Climate-resilient Cotton Production Practices among Dryland Farmers

M. Chennamadhava, P. L. R. J. Praveena, T. Lakshmi, P. Maheswara Reddy

International Journal of Environment and Climate Change · pp. 524–531 · Published 5 Sep 2024

10.9734/ijecc/2024/v14i94436

Abstract

Cotton is a vital crop for smallholder farmers in India, particularly in the rainfed regions of Andhra Pradesh. The dryland farming is vulnerable to climate change, water scarcity, and soil degradation, leading to reduced crop yields and decreased livelihood security. Critical interventions like conservation agriculture, micro irrigation, and integrated nutrient management are essential to address these challenges. Despite their importance, the adoption of these interventions among dryland farmers remains limited. This study aimed to assess the knowledge and adoption of critical interventions among dryland farmers in cotton cultivation. The results showed that 75-100% of farmers had knowledge about basic practices like sowing time, seed rate, and spacing, while 50-75% knew about pest and disease management practices. However, only 25-50% were aware of drought mitigating measures, and 0-25% knew about advanced practices like micro irrigation and anti-transpirants. The adoption of critical interventions was also low, with 75-100% adoption of basic practices, 50-75% adoption of pest and disease management practices, and 25-50% adoption of drought mitigating measures. The study highlights the need for awareness and training programs to improve the knowledge and adoption of critical interventions among dryland farmers. The findings suggest that there is a significant knowledge and adoption gap among dryland farmers, particularly regarding advanced practices. Addressing this gap is crucial to enhancing the livelihoods of dryland farmers and promoting sustainable cotton production in the region.

Cotton micro irrigation anti-transpirants critical interventions training

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