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ORIGINAL RESEARCH article
Front. Sustain. Food Syst.
Sec. Agricultural and Food Economics
Volume 8 - 2024 |
doi: 10.3389/fsufs.2024.1504388
This article is part of the Research Topic Enhancing Food Security and Trade Resilience in Sustainable Agricultural Systems View all 8 articles
Bridging the gap: challenges and adoption of climate-resilient agriculture technologies in agricultural landscapes across agro-climatic zones of Bihar, India
Provisionally accepted- 1 CIMMYT-Borlaug Institute for South Asia (BISA),, Samastipur, Bihar, India
- 2 Indian Agricultural Research Institute (ICAR), New Delhi, India
- 3 Directorate of Extension Education, Bihar Agricultural University, Bhagalpur, Bihar, India
- 4 Dr. Rajendra Prasad Central Agricultural University, Samastipur, Bihar, India
- 5 ICAR-Research Complex for Eastern Region, Patana, Bihar, India
- 6 Indian Council of Agricultural Research (ICAR), New Delhi, Delhi, India
- 7 BAU-Bihar Agricultural University, Sabour, Bhagalpur (Bihar) India, Bhagalpur, Bihar, India
- 8 The International Maize and Wheat Improvement Center (CIMMYT), New Delhi, National Capital Territory of Delhi, India
How effective are climate resilient agricultural technologies (CRATs) in overcoming barriers faced in agri-food system by farmers across the different agro-climatic zones (ACZs) of Bihar? This study examines the barriers that hinder farmers in Bihar from adopting CRATs amidst the growing impacts of climate change on global agri-food systems. It focuses on key CRATs, including zero tillage/minimum tillage (ZT/MT), laser land leveling (LLL), climate-resilient variety selection (CRVS), crop diversification (CD), site-specific nutrient management (SSNM), crop calendar and timely sowing (CCTS), and direct-seeded rice (DSR), and investigates the factors affecting their adoption. Investigating the barriers that prevent farmers in Bihar from adopting CRATs amid the escalating impacts of climate change on global food systems. This study investigatesthe CRATs like Zero-tillage/minimum tillage (ZTMT), laser land levelling (LLL), climate resilient variety selection (CRVS), crop diversification (CD), site-specific nutrient management (SSNM), crop calendar and timely sowing (CCTS), and direct seeded rice (DSR) and their adoption. Using descriptive statistics, correlation analysis, and logistic regression, key factors that influence the adoption of CRATs these technologies were identified. Descriptive statistics showed moderate levels of soil health awareness (mean value = 2.70) and climate change awareness (mean value = 2.63). Correlation analysis found that social factors like training received had a positive correlation with the adoption of DSR (correlation coefficient = 0.410). Logistic regression results highlighted that technology awareness significantly influences the adoption of DSR (coefficient = 0.400, p = 0.253), while initial investment costs are major barriers for ZT/MT and LLL (coefficient = 0.400, pp = 0.267). Results highlight the need to improve awareness through educational programs, provide technical support, and offer financial incentives to overcome the various barriers farmers faced. Targeted efforts in these areas can significantly increase the adoption of the CRATs, leading to more resilient and sustainable farming systems. Study supports not only the sustainable agricultural development but also align with the United Nations Sustainable Development Goals (SDGs), particularly SDG 1 (No Poverty), SDG 2 (Zero Hunger), SDG 13 (Climate Action), and SDG 15 (Life on Land).
Keywords: climate-resilient agriculture, Minimum tillage, Laser land levelling, Crop diversification, Site-specific nutrient management, direct seeded rice 1 Font: Italic, English (India) Font: (Default) Book Antiqua, 10 pt
Received: 30 Sep 2024; Accepted: 13 Dec 2024.
Copyright: © 2024 JAT, Meena, Durgude, Sohane, Jha, Kumar, Kumar, Kumar, Singh, Kumar, Reddy, Pazhanismy, Kumar, Meena, Prakesh, Kumar, Mukherjee, Kumar, Umesh, Singh, Chaubey, Kumar, Kumar, Kumar, Sardha, Singh, Singh, Kumari, Singh, Kumar, Tiwari, Kashyap, Kushwaha, Das, Gautam, Alam, Kumar, Kumar, Upadhaya, Singh, Ghosh, BHAGAT and Lenka. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Vijay Singh Meena, Indian Agricultural Research Institute (ICAR), New Delhi, India
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