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Optimization of Deficit Irrigation Water Usage for Maximisation of Jute Fibre Yield Using the Soil-water-crop Model in a Sub-tropical Climate

Author

Listed:
  • Debarati Datta

    (ICAR-Central Research Institute for Jute and Allied Fibres)

  • Arvind Kumar Singh

    (ICAR-Central Research Institute for Jute and Allied Fibres)

  • Girindrani Dutta

    (ICAR-Central Research Institute for Jute and Allied Fibres)

  • Nurnabi Meherul Alam

    (ICAR-Central Research Institute for Jute and Allied Fibres)

  • Dhananjay Barman

    (ICAR-Central Research Institute for Jute and Allied Fibres)

  • Ranjan Kumar Naik

    (ICAR-Central Research Institute for Jute and Allied Fibres)

  • Sourav Ghosh

    (ICAR-Central Research Institute for Jute and Allied Fibres)

  • Gouranga Kar

    (ICAR-Central Research Institute for Jute and Allied Fibres)

Abstract

Jute, known as the ‘Golden Fibre,’ has been an intrinsic part of the Indian economy for centuries. India is the leading producer and exporter of jute, contributing to almost 70% of global production. However, the productivity of jute crops in India is often hampered by dry spells and erratic rainfall patterns. This article aims to explore the crucial role of dry spells on jute productivity and discuss ways to mitigate their negative impact through optimization of deficit irrigation water usages. An open-field experiment was carried out on jute cultivation under varying soil depletion of available moisture (DASM) and estimated crop water requirement (ETc) levels. The results of the study revealed that application of irrigation at ‘50% DASM with 75% ETc’ or ‘75% DASM with 100% ETc’ is beneficial to the crop during the pre-monsoon season for olitorius jute in alluvial soils of sub-tropical climate. The available soil-water regime at 100 to 50% soil water depletion produced the best fibre yield and water productivity. A yield increase of 23–44% was achieved with irrigation scheduling in comparison to the rainfed condition. Soil moisture, biomass, and canopy cover were all accurately simulated by the AquaCrop model. The study recommends deficit irrigation water usage as a method to reduce yield gaps and mitigate dry spells.

Suggested Citation

  • Debarati Datta & Arvind Kumar Singh & Girindrani Dutta & Nurnabi Meherul Alam & Dhananjay Barman & Ranjan Kumar Naik & Sourav Ghosh & Gouranga Kar, 2024. "Optimization of Deficit Irrigation Water Usage for Maximisation of Jute Fibre Yield Using the Soil-water-crop Model in a Sub-tropical Climate," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(13), pages 4955-4968, October.
    • Handle: RePEc:spr:waterr:v:38:y:2024:i:13:d:10.1007_s11269-024-03897-7
    DOI: 10.1007/s11269-024-03897-7
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    References listed on IDEAS

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    1. Geerts, S. & Raes, D. & Garcia, M., 2010. "Using AquaCrop to derive deficit irrigation schedules," Agricultural Water Management, Elsevier, vol. 98(1), pages 213-216, December.
    2. Yang, J.M. & Yang, J.Y. & Liu, S. & Hoogenboom, G., 2014. "An evaluation of the statistical methods for testing the performance of crop models with observed data," Agricultural Systems, Elsevier, vol. 127(C), pages 81-89.
    3. Panda, R. K. & Behera, S. K. & Kashyap, P. S., 2004. "Effective management of irrigation water for maize under stressed conditions," Agricultural Water Management, Elsevier, vol. 66(3), pages 181-203, May.
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