Linking Agroforestry, Rainfall Variability, and Groundnut Market Volatility in India
DOI:
https://doi.org/10.48165/ija.2026.28.02.12Keywords:
Groundnut, price volatility, agroforestry, rainfall variability, market information, Agmarknet, IMD IndiaAbstract
Groundnut (Arachis hypogaea L.) is a key oilseed crop in India, primarily grown under rainfed conditions vulnerable to monsoon variability. This study analysed how agroforestry systems interact with rainfall and market dynamics to influence groundnut price stability. Using rainfall diagnostics from the India Meteorological Department (IMD) and Agmarknet price series for 2019–2024, we assessed the relationship between weather variability, production cycles, and price oscillations. Results indicated that years with rainfall deficits or erratic distribution corresponded with higher market volatility, while well-distributed monsoons supported stable yields and moderated price fluctuations. Agroforestry systems—particularly those integrating boundary trees and intercrops—showed potential to buffer microclimatic stress, enhance soil moisture, and reduce yield risk. However, excessive tree density or poor species selection sometimes intensified competition and reduced productivity. The findings underscore the importance of climate-smart agroforestry design, improved weather advisories, and real-time price information systems. Overall, well-managed agroforestry appears to enhance production stability and indirectly temper market volatility in India’s rainfed groundnut sector.
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References
e-NAM (National Agriculture Market). (2025). Agmarknet price dashboard: Modal/min/max prices and arrivals. Government of India.
Food and Agriculture Organization. (2011). Price volatility in agricultural markets: Policy brief. FAO.
India Meteorological Department. (2023). Annual climate summary 2023. India Meteorological Department.
India Meteorological Department. (n.d.). Yearly gridded rainfall (0.25° × 0.25°) products: Data description and access. India Meteorological Department.
Nair, P. K. R., Garrity, D. P., et al. (2022). Climate change adaptation through agroforestry: Opportunities and challenges. Current Opinion in Environmental Sustainability, 57, 101211.
Organisation for Economic Co-operation and Development. (2011). Agricultural commodity price volatility: An overview. OECD Publishing.
Professor Jayashankar Telangana State Agricultural University. (2023). Groundnut outlook – April 2023. Agricultural Market Intelligence Centre.
Professor Jayashankar Telangana State Agricultural University. (2025). Groundnut outlook – April 2025. Agricultural Market Intelligence Centre.
Rao, M. S., Willey, R. W., & Reddy, M. S. (2004). Growth, yield, competition and economics of groundnut intercropping systems. Field Crops Research, 88, 227–237.
Serra, T., Gil, J., & Goodwin, B. K. (2011). Methods to analyse agricultural commodity price volatility. Springer.
Shwethanjali, K. V., Raghu, S., Maruthi, J. B., & Chennappa, G. (2018). Effect of groundnut + millets intercropping system on yield and economics under rainfed conditions. International Journal of Current Microbiology and Applied Sciences, 7(9), 1112–1119.
Statista. (2025). Procurement price of groundnut across India FY 2014–2025. Statista GmbH.
