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Matric potential-based irrigation management of field-grown strawberry: Effects on yield and water use efficiency

Author

Listed:
  • Létourneau, Guillaume
  • Caron, J.
  • Anderson, L.
  • Cormier, J.

Abstract

Effective and adapted criteria for irrigation scheduling are required to improve yield and water use efficiency (WUE) and reduce the environmental impacts associated with water and nutrients losses by runoff and leaching. In this study, field-scale experiments were conducted at four commercial strawberry production sites with contrasting soil and climatic conditions. Within each site, the influence of different soil matric potential-based irrigation thresholds (IT) on yield and WUE was evaluated. Matric potential-based irrigation management was also compared with common irrigation practices used by producers in each site's respective areas. At Site 1 (silty clay loam; humid continental (Dfb) climate), an IT of −15kPa improved yields by 6.2% without any additional use of water relative to common irrigation practices. At Site 2, with similar soil and climatic conditions, the irrigation treatments did not affect yield and the matric potential-based management decreased WUE relative to common practices. However, the results suggested that maintaining the soil matric potential lower than −9kPa could induce stressing conditions for the plants. At Site 3 (sandy loam; Mediterranean (Cs) climate), the best yield and WUE were obtained with an IT of −8kPa and suggested that WUE could be further improved by implementing high-frequency irrigation. At Site 4 (clay loam; Mediterranean (Cs) climate), results suggested that an IT between −10 and −15kPa could optimize yield and WUE, and matric potential-based irrigation considerably reduced leaching under the root zone relative to common practices. Considering the results from all sites, an IT of −10kPa appears to be adequate as a starting point for further optimizing irrigation under most field conditions.

Suggested Citation

  • Létourneau, Guillaume & Caron, J. & Anderson, L. & Cormier, J., 2015. "Matric potential-based irrigation management of field-grown strawberry: Effects on yield and water use efficiency," Agricultural Water Management, Elsevier, vol. 161(C), pages 102-113.
  • Handle: RePEc:eee:agiwat:v:161:y:2015:i:c:p:102-113
    DOI: 10.1016/j.agwat.2015.07.005
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    Citations

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    Cited by:

    1. Contreras, J.I. & Alonso, F. & Cánovas, G. & Baeza, R., 2017. "Irrigation management of greenhouse zucchini with different soil matric potential level. Agronomic and environmental effects," Agricultural Water Management, Elsevier, vol. 183(C), pages 26-34.
    2. Matteau, Jean-Pascal & Célicourt, Paul & Létourneau, Guillaume & Gumiere, Thiago & Gumiere, Silvio J., 2022. "Effects of irrigation thresholds and temporal distribution on potato yield and water productivity in sandy soil," Agricultural Water Management, Elsevier, vol. 264(C).
    3. Lena, Bruno Patias & Bondesan, Luca & Pinheiro, Everton Alves Rodrigues & Ortiz, Brenda V. & Morata, Guilherme Trimer & Kumar, Hemendra, 2022. "Determination of irrigation scheduling thresholds based on HYDRUS-1D simulations of field capacity for multilayered agronomic soils in Alabama, USA," Agricultural Water Management, Elsevier, vol. 259(C).
    4. Pedro Garcia-Caparros & Juana Isabel Contreras & Rafael Baeza & Maria Luz Segura & Maria Teresa Lao, 2017. "Integral Management of Irrigation Water in Intensive Horticultural Systems of Almería," Sustainability, MDPI, vol. 9(12), pages 1-21, December.
    5. Githinji, Leonard & Johnson, Patrick, 2022. "Evaluating the Effect of Woodchips on Soil Matric Potential, Temperature, Weed Biomass, and Yield of Selected Crops," Professional Agricultural Workers Journal (PAWJ), Professional Agricultural Workers Conference, vol. 9(1).
    6. Li, Shengping & Tan, Deshui & Wu, Xueping & Degré, Aurore & Long, Huaiyu & Zhang, Shuxiang & Lu, Jinjing & Gao, Lili & Zheng, Fengjun & Liu, Xiaotong & Liang, Guopeng, 2021. "Negative pressure irrigation increases vegetable water productivity and nitrogen use efficiency by improving soil water and NO3–-N distributions," Agricultural Water Management, Elsevier, vol. 251(C).

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