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European Borage ( Borago officinalis L.) Yield and Profitability under Different Irrigation Systems

Author

Listed:
  • Ali Reza Seifzadeh

    (Department of Water Engineering, Faculty of Agricultural Science, University of Guilan, Rasht 41635-1314, Iran)

  • Mohammad Reza Khaledian

    (Department of Water Engineering, Faculty of Agricultural Science, University of Guilan, Rasht 41635-1314, Iran
    Department of Water Engineering and Environment, Caspian Sea Basin Research Center, University of Guilan, Rasht 41635-3756, Iran)

  • Mohsen Zavareh

    (Department of Agronomy & Plant Breeding, Faculty of Agricultural Science, University of Guilan, Rasht 41635-1314, Iran)

  • Parisha Shahinrokhsar

    (Agricultural Engineering Research Department, Guilan Agricultural and Natural Resources Research and Education Center, AREEO, Rasht 41635-3394, Iran)

  • Christos A. Damalas

    (Department of Agricultural Development, Democritus University of Thrace, GR-68200 Orestiada, Greece)

Abstract

European borage ( Borago officinalis L.) is a cultivated medicinal plant in Iran, but common agronomic practices about profitable cultivation are mostly unknown. A 2-yr field experiment (2013 and 2014) was conducted in Guilan Province of northern Iran to evaluate European borage yield and profitability under irrigation with surface and drip irrigation systems. Treatments included (i) rainfed production (I0, control), (ii) single irrigation (I1) applied with surface irrigation alone and drip irrigation alone, and (iii) two irrigations (I2) applied with surface irrigation alone and drip irrigation alone. In 2013, I1 increased flower dry weight by 41.0% and seed weight by 7.1% compared with rainfed European borage, while with I2, the increases in those traits were 23.4% and 0.6%, respectively. In 2014, I1 increased flower dry weight by 78.0% and seed weight by 21.3% compared with rainfed European borage, while the respective increases were 51.8% and 17.3% with I2. On average, drip irrigation provided higher flower dry weight and seed weight by 39.3% and 12.6%, respectively, compared with surface irrigation. Drip irrigation increased variable costs by 165.2% compared with surface irrigation but resulted in increased gross income by 23.2%. Partial budgeting showed that I1 with drip irrigation provided the maximum net profit in both years. Based on the final rate of return, investing in the treatment I1 with drip irrigation was better than investing in the other treatments. Moreover, I1 with drip irrigation showed the highest value of economic water productivity and could be considered for improving the net income of European borage farmers.

Suggested Citation

  • Ali Reza Seifzadeh & Mohammad Reza Khaledian & Mohsen Zavareh & Parisha Shahinrokhsar & Christos A. Damalas, 2020. "European Borage ( Borago officinalis L.) Yield and Profitability under Different Irrigation Systems," Agriculture, MDPI, vol. 10(4), pages 1-13, April.
    • Handle: RePEc:gam:jagris:v:10:y:2020:i:4:p:136-:d:347983
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    References listed on IDEAS

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    1. Hadizadeh, Faramarz & Allahyari, Mohammad S. & Damalas, Christos A. & Yazdani, Mohammad Reza, 2018. "Integrated management of agricultural water resources among paddy farmers in northern Iran," Agricultural Water Management, Elsevier, vol. 200(C), pages 19-26.
    2. Pereira, Luis S. & Cordery, Ian & Iacovides, Iacovos, 2012. "Improved indicators of water use performance and productivity for sustainable water conservation and saving," Agricultural Water Management, Elsevier, vol. 108(C), pages 39-51.
    3. Cai, X. & Rosegrant, M. W., 2003. "World water productivity: current situation and future options," Book Chapters,, International Water Management Institute.
    4. Panigrahi, P. & Srivastava, A.K. & Huchche, A.D., 2012. "Effects of drip irrigation regimes and basin irrigation on Nagpur mandarin agronomical and physiological performance," Agricultural Water Management, Elsevier, vol. 104(C), pages 79-88.
    5. repec:iwt:bosers:h032631 is not listed on IDEAS
    6. repec:iwt:bosers:h032641 is not listed on IDEAS
    7. Dagdelen, N. & Basal, H. & YIlmaz, E. & Gürbüz, T. & Akçay, S., 2009. "Different drip irrigation regimes affect cotton yield, water use efficiency and fiber quality in western Turkey," Agricultural Water Management, Elsevier, vol. 96(1), pages 111-120, January.
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    1. Heinz, Malve & Galetti, Valeria & Holzkämper, Annelie, 2024. "How to find alternative crops for climate-resilient regional food production," Agricultural Systems, Elsevier, vol. 213(C).

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