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Simulating impacts of irrigation heterogeneity on onion (Allium cepa L.) yield in a humid climate

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Abstract

This paper reports on a study combining experimental field data with biophysical crop modelling to assess the impacts of irrigation heterogeneity on onion yield. The AquaCrop model was calibrated and validated for brown onion (cv Arthur) and used to simulate yield variability under a set of contrasting soil and agroclimatic conditions assuming perfect (100 % uniform) irrigation. The impacts of non-uniform irrigation as measured on-farm under two overhead systems (mobile hose reel fitted with boom and a linear move) were then evaluated using scenario analysis and multi-model runs. Stochastic modelling confirmed that the lowest yield (8.6 t DM/ha) occurs on the lowest moisture retentive soils under the driest agroclimatic conditions with non-uniform irrigation. There is much greater yield variability in dry years compared to wet years. In wet years, rainfall reduces the scheduled number of irrigation events and buffers the effects of irrigation non-uniformity on yield. Yields were more variable under the mobile hose reel system fitted with the boom compared to the fixed linear move system. The modelled yield variability under non-uniform was similar to the observed yields reported by growers based on an industry survey. The study highlights the importance of achieving high irrigation uniformity in dry years on light soils to maximise yield and provides useful data for evaluating the potential yield benefits that might accrue from precision irrigation.

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References

  • Abedinpour M, Sarangi A, Rajput TBS, Singh M, Pathak H, Ahmad T (2012) Performance evaluation of AquaCrop model for maize crop in a semi-arid environment. Agric Water Manag 110:55–66

    Article  Google Scholar 

  • Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guidelines for computing crop water requirements. Irrigation and Drainage Paper No 56. Food and Agriculture Organization of the United Nations (FAO). Rome, Italy

  • ASAE (2003) Test procedure for determining the uniformity of water distribution of center pivot and lateral move irrigation machines equipped with spray or sprinkler nozzles. ANSI/ASAE S436.1 DEC01

  • Brewster JL, Salter PJ, Darby RJ (1977) Analysis of growth and yield of overwintered onions. J Hortic Sci 52:335–346

    Google Scholar 

  • Daccache A, Keay C, Jones RJA, Weatherhead EK, Stalham MA, Knox JW (2012) Climate change and land suitability for potato production in England and Wales: impacts and adaptation. J Agric Sci 150(2):161–177

    Article  Google Scholar 

  • Daccache A, Knox JW, Weatherhead EK, Daneshkhah A, Hess TM (2014) Implementing precision irrigation in a humid climate—recent experiences and on-going challenges. Agric Water Manag. doi:10.1016/j.agwat.2014.05.018

    Google Scholar 

  • De Visser CLM (1994) Alcepas, an onion growth-model based on sucros87.1. Development of the model. J Hortic Sci 69:501–518

    Google Scholar 

  • De Visser CLM, van den Berg W (1998) A method to calculate the size distribution of onions and its use in an onion growth model. Sci Hortic 77(3–4):129–143

    Article  Google Scholar 

  • Doorenbos J, Kassam AH (1979) Yield response to water. FAO Irrigation and Drainage Paper 33

  • Enciso J, Wiedenfeld B, Jifon J, Nelson S (2009) Onion yield and quality response to two irrigation scheduling strategies. Sci Hortic 120(3):301–305

    Article  Google Scholar 

  • FAO (2012) http://faostat.fao.org/site/567/DesktopDefault.aspx?PageID=567#ancor. Accessed 12 May 2014

  • Halvorson AD, Bartolo ME, Reule CA, Berrada A (2008) Nitrogen effects on onion yield under drip and furrow irrigation. Agron J 100:1062–1069

    Article  CAS  Google Scholar 

  • Jamieson PD (1991) A test of the computer simulation model ARCWHEAT 1 on wheat crops grown in New Zealand. Field Crops Res 27:337–350

    Article  Google Scholar 

  • Jiménez M, De Juan JA, Tarjuelo JM, Ortega JF (2010) Effect of irrigation uniformity on evapotranspiration and onion yield. J Agric Sci 148(02):139–157

    Article  Google Scholar 

  • Knox JW, Rodriguez-Diaz JA, Weatherhead EK, Kay MG (2010a) Development of a water strategy for horticulture in England and Wales. J Hortic Sci Biotechnol 85(2):89–93

    Google Scholar 

  • Knox JW, Rodríguez Díaz JA, Nixon DJ, Mkhwanazi M (2010b) A preliminary assessment of climate change impacts on sugarcane in Swaziland. Agric Syst 103(2):63–72

    Article  Google Scholar 

  • Knox JW, Kay MG, Weatherhead EK (2012) Water regulation, crop production, and agricultural water management—understanding farmer perspectives on irrigation efficiency. Agric Water Manag 108:3–8

    Article  Google Scholar 

  • Kruskal WH, Wallis WA (1952) Use of ranks in one-criterion variance analysis. J Am Stat Assoc 47(260):583–621

    Article  Google Scholar 

  • Kumar S, Imtiyaz M, Kumar A (2007) Effect of differential soil moisture and nutrient regimes on postharvest attributes of onion (Allium cepa L.). Sci Hortic 112(2):121–129

    Article  CAS  Google Scholar 

  • Lacey TR (2006) Improving irrigation efficiency: raingun performance in field-scale vegetable production PhD thesis (unpublished), Cranfield University, Bedford, UK

  • Lacey TR, Ober E (2011) Impact of irrigation practices on Rijnsburger bulb onion husbandry, quality and storability—II FV 362a. Annual Report, Year 1

  • Lacey TR, Ober E (2012) Impact of irrigation practices on Rijnsburger bulb onion husbandry, quality and storability—II FV 362a. Annual Report, Year 2

  • Lacey TR, Ober E (2013) Impact of irrigation practices on Rijnsburger bulb onion husbandry, quality and storability—II FV 362a. Annual Report, Year 3

  • Lancaster JE, Triggs CM, De Ruiter JM, Gandar PW (1996) Bulbing in onions: photoperiod and temperature requirements and prediction of bulb size and maturity. Ann Bot 78:423–430

    Article  Google Scholar 

  • Loague K, Green RE (1991) Statistical and graphical methods for evaluating solute transport models: Overview and application. J Contam Hydrol 7:51–73

    Article  CAS  Google Scholar 

  • Martı́n de Santa Olalla F, Domı́nguez-Padilla A, López R (2004) Production and quality of the onion crop (Allium cepa L.) cultivated under controlled deficit irrigation conditions in a semi-arid climate. Agric Water Manag 68(1):77–89

  • Mkhabela MS, Bullock PR (2012) Performance of the FAO AquaCrop model for wheat grain yield and soil moisture simulation in Western Canada. Agric Water Manag 110:16–24

    Article  Google Scholar 

  • Mohammadi J, Lamei J, Khasmakhi-Sabet A, Olfati JA, Peyvast G (2010) Effect of irrigation methods and transplant size on onion cultivars yield and quality. J Food Agric Environ 8:158–160

    Google Scholar 

  • Monaghan JM, Daccache A, Vickers L, Hess TM, Weatherhead EK, Grove IG, Knox JW (2013) More ‘crop per drop’—constraints and opportunities for precision irrigation in European agriculture. J Sci Food Agric93(5): 977–980

  • Nielsen DC, Miceli-Garcia JJ, Lyon DJ (2012) Canopy cover and leaf area index relationships for wheat, triticale and corn. Agron J 104(6):1569–1573

    Article  Google Scholar 

  • Ortiz JN, Tarjuelo JM, de Juan JA (2012) Effects of two types of sprinklers and height in the irrigation of sugar beet with a centre pivot. Span J Agric Res 10(1):251–263

    Article  Google Scholar 

  • Pejic B, Gvozdanovic-Varga J, Milic S, Ignjatovic-Cupina A, Krstic D, Cupina BB (2011) Effect of irrigation schedules on yield and water use of onion (Allium cepa L.). Afr J Biotechnol 10:2644–2652

    Google Scholar 

  • Perez-Ortola M (2014) Modelling the impacts of in-field soil and irrigation variability on onion yield. MPhil thesis, Cranfield University, UK

  • Raes D, Steduto P, Hsiao TC, Fereres E (2009) AquaCrop-The FAO crop model to simulate yield response to water: II. Main algorithms and software description. Agron J 101:438–447

    Article  Google Scholar 

  • Rinaldi M, Garofalo P, Rubino P, Steduto P (2011) Processing tomatoes under different irrigation regimes in Southern Italy: agronomic and economic assessments in a simulation case study. Italian J Agrometeorol 3:39–59

    Google Scholar 

  • Rodríguez Díaz JA, Weatherhead EK, Knox JW, Camacho E (2007) Climate change impacts on irrigation water requirements in the Guadalquivir river basin in Spain. Reg Environ Change 7(3):149–159

    Article  Google Scholar 

  • Smith M (1992) CROPWAT: a computer program for irrigation planning and management. FAO Irrigation and Drainage Paper No. 46

  • Smith RJ, Baillie JN, McCarthy AC, Raine SR, Baillie CP (2010) Review of precision irrigation technologies and their application. National Centre for Engineering in Agriculture. Publication 1003017/1, USQ, Toowoomba

  • Steduto P, Hsiao TC, Raes D, Fereres E (2009) AquaCrop—the FAO crop model to simulate yield response to water: I. Concepts and underlying principles. Agron J 101(3):426–437

    Article  Google Scholar 

  • Wellens J, Raes D, Traore F, Denis A, Djaby B, Tychon B (2013) Performance assessment of the FAO AquaCrop model for irrigated cabbage on farmer plots in a semi-arid environment. Agric Water Manag 127:40–47

    Article  Google Scholar 

  • Zekri M, Parsons LR (1999) Determination of field capacity in a Florida sandy soil and drainage time at different depths. HortTechnology 9:258–261

    Google Scholar 

Download references

Acknowledgments

The authors acknowledge the technical support and provision of experimental field data from Tim Lacey and Eric Ober and contributions from growers involved in the industry survey. The authors also thank Andrew Francis and staff at Elveden Estate (Norfolk) for provision of field sites, farm data and extensive technical support during the course of the research. The research was funded by Defra Hortlink (HL0196).

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Authors and Affiliations

  1. Department of Environmental Science and Technology, Cranfield University, Bedfordshire, MK43 0AL, UK

    M. Pérez-Ortolá, A. Daccache, T. M. Hess & J. W. Knox

Authors
  1. M. Pérez-Ortolá
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  2. A. Daccache
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  3. T. M. Hess
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  4. J. W. Knox
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Corresponding author

Correspondence to J. W. Knox.

Additional information

Communicated by S. O. Shaughnessy.

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Pérez-Ortolá, M., Daccache, A., Hess, T.M. et al. Simulating impacts of irrigation heterogeneity on onion (Allium cepa L.) yield in a humid climate. Irrig Sci 33, 1–14 (2015). https://doi.org/10.1007/s00271-014-0444-2

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  • DOI: https://doi.org/10.1007/s00271-014-0444-2

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