Crop Science pp 345-360 | Cite as

Irrigation Management for Efficient Crop Production

  • Elías FereresEmail author
  • Margarita García-Vila
Reference work entry
Part of the Encyclopedia of Sustainability Science and Technology Series book series (ESSTS)


Application efficiency

Relationship between the target irrigation depth (depth of water stored in the root zone to be used by the crop) and the depth of water applied to meet this target during a single irrigation event.

Conservation agriculture (CA)

An agricultural production system aimed at achieving a sustainable and profitable agriculture through the application of three principles: minimal soil disturbance, permanent organic soil cover, and diversification of crop species in rotations or associations.

Decision support systems (DSS)

Interactive information systems (not limited to computerized systems) that aid decision makers to identify and solve problems, and make decisions, which may be rapidly changing and are not easily specified in advance.

Deficit irrigation (DI)

An irrigation strategy based on applying irrigation depths that are less than the full crop water requirements (ET), either throughout the crop life cycle (continuous or sustained deficit irrigation) or...


Primary Literature

  1. 1.
    Fahlbusch H, Schultz B, Thatte CD (2004) The Indus basin: history of irrigation, drainage and flood management. ICID, New DelhiGoogle Scholar
  2. 2.
    Molden D (2007) Water for food, water for life: a comprehensive assessment of water management in agriculture. Earthscan/IWMI, LondonGoogle Scholar
  3. 3.
  4. 4.
    Hsiao TC, Acevedo E, Fereres E, Henderson DW (1976) Water stress, growth, and osmotic adjustment. Philos Trans R Soc Lond B 273:479–500CrossRefGoogle Scholar
  5. 5.
    Fischer RA, Byerlee D, Edmeades G (2014) Crop yields and global food security. ACIAR/Fischer, CanberraGoogle Scholar
  6. 6.
    Tanji KK (1990) Nature and extent of agricultural salinity. In: Tanji KK (ed) Agricultural salinity assessment and management. ASCE, New York, pp 1–17Google Scholar
  7. 7.
    Clemmens AJ (2006) Improving irrigation water performance through an understanding of the water delivery process. Irrig Drain 55:223–234CrossRefGoogle Scholar
  8. 8.
    Bos MG, Nugteren J (1990) On irrigation efficiencies, Publication, vol 19, 4th edn. International Institute for Land Reclamation and Improvement (ILRI), WageningenGoogle Scholar
  9. 9.
    Hsiao TC, Steduto P, Fereres E (2007) A systematic and quantitative approach to improve water use efficiency in agriculture. Irrig Sci 25:209–231CrossRefGoogle Scholar
  10. 10.
    Jensen ME (2007) Beyond irrigation efficiency. Irrig Sci 25:233–245CrossRefGoogle Scholar
  11. 11.
    de Wit CT (1992) Resource use efficiency in agriculture. Agric Syst 40:125–151CrossRefGoogle Scholar
  12. 12.
    Van Schilfgaarde J (1984) Drainage design for salinity control. In: Shainberg I, Shalhevet J (eds) Soil salinity under irrigation. Springer, New York, pp 190–197Google Scholar
  13. 13.
    Steduto P, Hsiao TC, Fereres E (2007) On the conservative behavior of biomass water productivity. Irrig Sci 25:189–207CrossRefGoogle Scholar
  14. 14.
    Richards RA (2006) Physiological traits used in the breeding of new cultivars for water-scarce environments. Agric Water Manag 80:197–211CrossRefGoogle Scholar
  15. 15.
    Salekdeh GH, Reynolds M, Bennett J, Boyer J (2009) Conceptual framework for drought phenotyping during molecular breeding. Trends Plant Sci 14:488–496CrossRefGoogle Scholar
  16. 16.
    Shainberg I, Levy GJ (1996) Infiltration and seal formation processes. In: Agassi M (ed) Soil erosion, conservation, and rehabilitation. Marcel Dekker, New York, pp 1–22Google Scholar
  17. 17.
    Fereres E et al (2014) Balancing crop yield and water productivity tradeoffs in herbaceous and woody crops. Funct Plant Biol 41:1009–1018CrossRefGoogle Scholar
  18. 18.
    FAO (2010) Verified on 26 May 2010
  19. 19.
    Thompson RB, Gallardo M, Agüera T, Valdez LC, Fernandez MD (2006) Evaluation of the watermark sensor for use with drip irrigated vegetable crops. Irrig Sci 24:185–202CrossRefGoogle Scholar
  20. 20.
    Goldhamer DA, Fereres E (2001) Irrigation scheduling protocols using continuously recorded trunk diameter measurements. Irrig Sci 20:115–125CrossRefGoogle Scholar
  21. 21.
    Jackson RD (1982) Canopy temperature and crop water stress. Adv Irrig 1:43–85CrossRefGoogle Scholar
  22. 22.
    Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guidelines for computing crop water requirements, FAO irrigation and drainage paper, vol 56. FAO (Food and Agriculture Organization), RomeGoogle Scholar
  23. 23.
    Mantovani EC, Orgaz F, Villalobos FJ, Fereres E (1995) Modelling the effects of sprinkler irrigation uniformity on crop yield. Agric Water Manag 27:243–257CrossRefGoogle Scholar
  24. 24.
    Benson SM, White AF, Halfman S, Flexser S, Alavi M (1991) Groundwater contamination at the Kesterson reservoir, California 1. Hydrogeologic setting and conservative solute transport. Water Resour Res 27:1071–1084CrossRefGoogle Scholar
  25. 25.
    Hoffman GJ, Dirksen C, Ingvalson RD, Maas EV, Oster JD, Rawlins SL, Rhoades JD, Van Schilfgaarde J (1977) Minimizing salt in drain water by irrigation management: design and initial results of Arizona field studies. Agric Water Manag 1:233–252CrossRefGoogle Scholar
  26. 26.
    Sadler EJ, Evans RG, Stone KC, Camp CR (2005) Opportunities for conservation with precision irrigation. J Soil Water Conserv 60:371–379Google Scholar
  27. 27.
    Evans RG, Sadler EJ (2007) New technologies to improve crop water use efficiencies [CD-ROM]. S164. Lawrence MediaGoogle Scholar
  28. 28.
    Santos C, Lorite IJ, Tasumi M, Allen RG, Fereres E (2010) Performance assessment of an irrigation scheme using indicators determined with remote sensing techniques. Irrig Sci 28:461. Scholar
  29. 29.
    Zarco-Tejada PJ, Berni JAJ, Suárez L, Sepulcre-Cantó G, Morales F, Miller JR (2009) Imaging chlorophyll fluorescence from an airborne narrow-band multispectral camera for vegetation stress detection. Rem Sens Environ 113:1262–1275CrossRefGoogle Scholar
  30. 30.
    Berni JAJ, Zarco-Tejada PJ, Sepulcre-Cantó G, Fereres E, Villalobos F (2009) Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery. Rem Sens Environ 113:2380–2388CrossRefGoogle Scholar
  31. 31.
    Bellvert J et al (2015) Vineyard irrigation scheduling based on airborne thermal imagery and water potential thresholds. Aust J Grape Wine Res 22:1–9Google Scholar
  32. 32.
    Fountas S, Wulfsohn D, Blackmore BS, Jacobsen HL, Pedersen SM (2006) A model of decision-making and information flows for information-intensive agriculture. Agric Syst 87:192–210CrossRefGoogle Scholar
  33. 33.
    Maton L, Leenhardt D, Goulard M, Bergez JE (2005) Assessing the irrigation strategies over a wide geographical area from structural data about farming systems. Agric Syst 86:293–311CrossRefGoogle Scholar
  34. 34.
    Arnott D (2006) Cognitive biases and decision support systems development: a design science approach. Inf Syst J 16:55–78CrossRefGoogle Scholar
  35. 35.
    Mohan S, Arumugam N (1997) Expert system applications in irrigation management: an overview. Comput Electron Agric 17:263–280CrossRefGoogle Scholar
  36. 36.
    Goldberg DE (1989) Genetic algorithms in search, optimization and machine learning. Addison-Wesley, MadisonGoogle Scholar
  37. 37.
    Md Azamathulla H, Wu FC, Ab Ghani A, Narulkar SM, Zakaria NA, Chang CK (2008) Comparison between genetic algorithm and linear programming approach for real time operation. J Hydro Environ Res 2:172–181CrossRefGoogle Scholar
  38. 38.
    Kipkorir EC, Raes D, Labadie J (2001) Optimal allocation of short-term irrigation supply. Irrig Drain Syst 15:247–267CrossRefGoogle Scholar
  39. 39.
    Bergez JE, Garcia F, Lapasse L (2004) A hierarchical partitioning method for optimizing irrigation strategies. Agric Syst 80:235–253CrossRefGoogle Scholar
  40. 40.
    Bazzani GM (2005) An integrated decision support system for irrigation and water policy design: DSIRR. Environ Model Softw 20:153–163CrossRefGoogle Scholar
  41. 41.
    Stoorvogel JJ, Antle JM, Crissman CC, Bowen W (2004) The tradeoff analysis model: integrated bio-physical and economic modeling of agricultural production systems. Agric Syst 80:43–66CrossRefGoogle Scholar
  42. 42.
    Stewart JI, Hagan RM (1973) Functions to predict effects of crop water deficits. J Irrig Drain Div 99:421–439Google Scholar
  43. 43.
    Doorenbos J, Kassam AH (1979) Yield response to water, FAO irrigation and drainage paper, vol 33. FAO (Food and Agriculture Organization), RomeGoogle Scholar
  44. 44.
    Vaux HJ, Pruitt WO (1983) Crop-water production functions. In: Hillel DI (ed) Advances in irrigation, vol II. Academic, New York, pp 61–97Google Scholar
  45. 45.
    Goldhamer DA, Fereres E (2017) Establishing an almond water production function for California using long-term yield response to variable irrigation. Irrig Sci 35:169. Scholar
  46. 46.
    Loomis RS, Rabbinge R, Ng E (1979) Explanatory models in crop physiology. Annu Rev Plant Physiol 30:339–367CrossRefGoogle Scholar
  47. 47.
    Stöckle CO, Donatelli M, Nelson R (2003) CropSyst, a cropping systems simulation model. Eur J Agron 18:289–307CrossRefGoogle Scholar
  48. 48.
    Jones CA, Dyke PT, Williams JR, Kiniry JR, Benson CA, Griggs RH (1991) EPIC: an operational model for evaluation of agricultural sustainability. Agric Syst 37:341–350CrossRefGoogle Scholar
  49. 49.
    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 101:426–437CrossRefGoogle Scholar
  50. 50.
    McCown RL, Hammer GL, Hargreaves JNG, Holzworth DP, Freebairn DM (1996) APSIM: a novel software system for model development, model testing and simulation in agricultural systems research. Agric Syst 50:255–271CrossRefGoogle Scholar
  51. 51.
    Ritchie JT, Godwin DC, Otter-Nacke S (1985) CERES – wheat: a simulation model of wheat growth and development. Texas A&M University Press, College StationGoogle Scholar
  52. 52.
    Sinclair TR, Seligman NG (1996) Crop modeling: from infancy to maturity. Agron J 88:698–704CrossRefGoogle Scholar
  53. 53.
    García-Vila M, Fereres E, Mateos L, Orgaz F, Steduto P (2009) Deficit irrigation optimization of cotton with AquaCrop. Agron J 101:477–487CrossRefGoogle Scholar
  54. 54.
    Sophocleous M (2005) Groundwater recharge and sustainability in the high plains aquifer in Kansas, USA. Hydrogeol J 13:351–365CrossRefGoogle Scholar
  55. 55.
    English MJ (1990) Deficit irrigation. I: analytical framework. J Irrig Drain Eng 116:399–412CrossRefGoogle Scholar
  56. 56.
    Debaeke P, Aboudrare A (2004) Adaptation of crop management to water-limited environments. Eur J Agron 21:433–446CrossRefGoogle Scholar
  57. 57.
    Fereres E, Goldhamer DA, Parsons LR (2003) Irrigation water management of horticultural crops. Historical review compiled for the American Society of Horticultural Science’s 100th anniversary. Hortscience 38:1036–1042CrossRefGoogle Scholar

Books and Reviews

  1. Burt CM, Clemmens AJ, Strelkoff TS, Solomon KH, Bliesner RD, Howell TA, Eisenhauer DE (1997) Irrigation performance measures: efficiency and uniformity. J Irrig Drain Eng 123(6):423–442. ASCE (American Society of Civil Engineers), New YorkCrossRefGoogle Scholar
  2. Evans RG, Sadler EJ (2008) Methods and technologies to improve efficiency of water use: W00E04. Water Resour Res 44(7):W00E04. American Geophysical Union, WashingtonCrossRefGoogle Scholar
  3. Fereres E, González-Dugo V (2009) Improving productivity to face water scarcity in irrigated agriculture. In: Sadras VO, Calderini DF (eds) Crop physiology: applications for genetic improvement and agronomy. Academic, New York, pp 123–143Google Scholar
  4. Lamm FR, Ayars JE, Nakayama FS (2007) Microirrigation for crop production, Developments in agricultural engineering, vol 13. Elsevier, AmsterdamGoogle Scholar
  5. Malano H, Burton M (2001) Guidelines for benchmarking performance in the irrigation and drainage sector. IPTRID/FAO, RomeGoogle Scholar
  6. Molden D (2007) Water for food, water for life, a comprehensive assessment of water management in agriculture. Earthscan/IWMI, LondonGoogle Scholar
  7. National Research Council (1996) A new era for irrigation. National Academy, Washington, DCGoogle Scholar
  8. Passioura JB, Angus JF (2010) Chapter 2 – improving productivity of crops in water-limited environments, Advances in agronomy, vol 106. Academic, San Diego, pp 37–75Google Scholar
  9. Steduto P, Hsiao TC, Fereres E, Raes D (2012) Crop yield response to water, Irrigation & Drainage paper, vol 66. FAO, RomeGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Institute for Sustainable AgricultureIAS-CSIC and University of CordobaCordobaSpain

Section editors and affiliations

  • Roxana Savin
    • 1
  • Gustavo Slafer
    • 2
  1. 1.Department of Crop and Forest Sciences and AGROTECNIO, (Center for Research in Agrotechnology)University of LleidaLleidaSpain
  2. 2.Department of Crop and Forest SciencesUniversity of LleidaLleidaSpain

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