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FAO CROPWAT Model-Based Irrigation Requirements for Coconut to Improve Crop and Water Productivity in Kerala, India

Author

Listed:
  • U. Surendran

    (Centre for Water Resources Development and Management (CWRDM), Kozhikode 673571, Kerala, India)

  • C. M. Sushanth

    (Centre for Water Resources Development and Management (CWRDM), Kozhikode 673571, Kerala, India)

  • E. J. Joseph

    (Centre for Water Resources Development and Management (CWRDM), Kozhikode 673571, Kerala, India)

  • Nadhir Al-Ansari

    (Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, 97187 Lulea, Sweden)

  • Zaher Mundher Yaseen

    (Sustainable Developments in Civil Engineering Research Group, Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam)

Abstract

The irrigation requirements for coconut in Kerala are general in nature. This study determined the irrigation requirements for coconut, using CROPWAT based on agro-ecological zones (AEZs) for proposing the recommendations. The irrigation recommendations are generated based on the climatic, soil, and crop characteristics. The results showed that the irrigation requirements varied with the locations. Overall, for the state of Kerala, the irrigation requirements varied from 350 to 900 L of water per coconut palm, with the irrigation intervals ranging from three to nine days based on the AEZs. Moreover, this study also confirmed the variation of the water requirements observed within the districts. The quantity of water required per palm varied between 115 to 200 liters per day (LPD) per palm, which is lower than the existing recommendations of 175 to 300 LPD per palm. The proposed irrigation requirements appraised with the presently followed recommendations of the Kerala state, and its advantages discussed for improving the crop and water productivity. In nutshell, if the current recommendation is adopted, 30% of the water used for irrigation can be saved, as well as leading to an improvement in crop production.

Suggested Citation

  • U. Surendran & C. M. Sushanth & E. J. Joseph & Nadhir Al-Ansari & Zaher Mundher Yaseen, 2019. "FAO CROPWAT Model-Based Irrigation Requirements for Coconut to Improve Crop and Water Productivity in Kerala, India," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:18:p:5132-:d:268731
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    References listed on IDEAS

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    1. Mehta, Vishal K. & Haden, Van R. & Joyce, Brian A. & Purkey, David R. & Jackson, Louise E., 2013. "Irrigation demand and supply, given projections of climate and land-use change, in Yolo County, California," Agricultural Water Management, Elsevier, vol. 117(C), pages 70-82.
    2. Lathika, M. & Ajith Kumar, C.E., 2005. "Growth Trends in Area, Production and Productivity of Coconut in India," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 60(4), pages 1-12.
    3. Vidhana Arachchi, L. P., 1998. "Preliminary requirements to design a suitable drip irrigation system for coconut (Cocos nucifera L.) in gravelly soils," Agricultural Water Management, Elsevier, vol. 38(2), pages 169-180, December.
    4. de Azevedo, Pedro Vieira & de Sousa, Inaja Francisco & da Silva, Bernardo Barbosa & da Silva, Vicente de Paulo Rodrigues, 2006. "Water-use efficiency of dwarf-green coconut (Cocos nucifera L.) orchards in northeast Brazil," Agricultural Water Management, Elsevier, vol. 84(3), pages 259-264, August.
    5. U. Surendran & B. Anagha & P. Raja & V. Kumar & K. Rajan & M. Jayakumar, 2019. "Analysis of Drought from Humid, Semi-Arid and Arid Regions of India Using DrinC Model with Different Drought Indices," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(4), pages 1521-1540, March.
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    Cited by:

    1. Surendran, U. & Madhava Chandran, K., 2022. "Development and evaluation of drip irrigation and fertigation scheduling to improve water productivity and sustainable crop production using HYDRUS," Agricultural Water Management, Elsevier, vol. 269(C).

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