Advertisement

A Numerical Simulation Model for Highbush Blueberry Under Drought Stress

  • Emilio CariagaEmail author
  • Leonardo Vásquez
  • Jorge Jerez
  • Claudio Inostroza-Blancheteau
Research Article
  • 1 Downloads

Abstract

This investigation considered the problem of determining irrigation conditions under which the impact of water deficit stress on a blueberry plant would be minimal. Specifically, and as a first methodological step, we solved the problem of simulating numerically the soil-water-plant system, assuming a scenario of water stress resulting from drought. The main justification for this investigation is the difficulty of obtaining experimental data, and the almost total absence of applications of this methodology to stress conditions for this crop. The simulations are based on the Richards equation with an explicit term, which models blueberry root water uptake, and were executed with HYDRUS-1D software. This software, the Richards equation, and the numerical values used have been widely validated by agronomists in experimental studies of similar crops. Two soil types were simulated: a clay soil and a sandy loam. It was possible to simulate realistic irrigation conditions for a blueberry crop in a scenario of water stress resulting from drought. The results obtained provided sufficient justification of the methodology for subsequent application in field studies.

Keywords

Richards’s equation Root water uptake Unsaturated zone Transpiration Surface pressure Water stress 

Notes

Acknowledgements

EC thanks the Department of Mathematical and Physical Sciences of Universidad Católica de Temuco for partial the support for this project.

References

  1. Albasha R, Mailhol JC, Cheviron B (2015) Compensatory uptake functions in empirical macroscopic root water uptake models – experimental and numerical analysis. Agric Water Manag 155:22–39CrossRefGoogle Scholar
  2. Bear J (1988) Dynamics of fluids in porous media. Dover Publications Inc., New YorkGoogle Scholar
  3. Bryla DR (2011) Crop evapotranspiration and irrigation scheduling in blueberry. In: Gerosa G (ed) Evapotranspiration. From measurements to agricultural and environmental applications. Intech, Rijeka, pp 167–186Google Scholar
  4. Bryla DR, Gartung JL, Strik B (2006) Evaluation of irrigation methods for highbush blueberry. I. Growth and water requirements of young plants. Hortic Sci 46:95–101Google Scholar
  5. Cariaga E, Martínez R, Sepúlveda M (2015) Hydraulic parameter estimation under non-saturated flow conditions in copper heap leaching. Math Comput Simul 109:20–31CrossRefGoogle Scholar
  6. Davies FS, Flore JA (1986) Flooding, gas exchange and hydraulic root conductivity of highbush blueberry. Physiol Plant 67:545–551CrossRefGoogle Scholar
  7. Egea G, Muñiz J, Diaz-Espejo A (2017) Optimization of an automatic irrigation system for precision irrigation of blueberries grown in sandy soil. Adv Anim Biosci 8(2):551–556CrossRefGoogle Scholar
  8. Estrada F, Escobar A, Romero-Bravo S, González-Talice J, Poblete- Echeverría C, Caligari P, Lobos GA (2015) Fluorescence phenotyping in blueberry breeding for genotype selection under drought conditions, with or without heat stress. Sci Hortic 181:147–161CrossRefGoogle Scholar
  9. Eusufzai MK, Fujii K (2012) Effect of organic matter amendment on hydraulic and pore characteristics of a clay loam soil. Open J Soil Sci 2:372–381CrossRefGoogle Scholar
  10. Feddes RA, Kowalik PJ, Zaradny H (1978) Simulation of field water use and crop yield. Simulation monograph Pudoc, WageningenGoogle Scholar
  11. van Genuchten MT (1980) A closed form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci Soc Am J 44:892–898CrossRefGoogle Scholar
  12. Gong D, Kang S, Zhang L, Du T, Yao L (2006) A two-dimensional model of root water uptake for single apple trees and its verification with sap flow and soil water content measurements. Agric Water Manag 83:119–129CrossRefGoogle Scholar
  13. González MG, Ramos TB, Carlesso R, Paredes P, Petry MT, Martins JD, Aires NP, Pereira LS (2015) Modelling soil water dynamics of full and deficit drip irrigated maize cultivated under a rain shelter. Biosyst Eng 132:1–18CrossRefGoogle Scholar
  14. Gou S, Miller G (2014) A groundwater–soil–plant–atmosphere continuum approach for modelling water stress, uptake, and hydraulic redistribution in phreatophytic vegetation. Ecohydrology 7:1029–1041CrossRefGoogle Scholar
  15. Gough RE (1980) Root distribution of ‘Coville’ and ‘Lateblue’ highbush blueberry under sawdust mulch. J Am Soc Hortic Sci 105:576–578Google Scholar
  16. Holzapfel E, Jara J, Coronata AM (2015) Number of drip laterals and irrigation frequency on yield and exportable fruit size of highbush blueberry grown in a sandy soil. Agric Water Manag 148:207–212CrossRefGoogle Scholar
  17. Inostroza-Blancheteau C, Reyes-Díaz M, Arellano A, Latsague M, Acevedo P, Loyola R, Arce-Johnson P, Alberdi M (2014) Effects of UV-B radiation on anatomical characteristics, phenolic compounds and gene expression of the phenylpropanoid pathway in highbush blueberry leaves. Plant Physiol Biochem 85:85–95CrossRefGoogle Scholar
  18. Jarvis NJ (1989) A simple empirical model of root water uptake. J Hydrol 107:57–72CrossRefGoogle Scholar
  19. Keen B, Slavich P (2012) Comparison of irrigation scheduling strategies for achieving water use efficiency in highbush blueberry. N Z J Crop Hortic Sci 40:3–20CrossRefGoogle Scholar
  20. Kumar R, Jat MK, Shankar V (2013) Evaluation of modeling of water ecohydrologic dynamics in soil–root system: a review. Ecol Model 269:51–60CrossRefGoogle Scholar
  21. Kutílek M, Nielsen DR (1994) Soil hydrology. Catena Verlag, Cremlingen-DestedtGoogle Scholar
  22. Lobos TE, Retamales JB, Ortega-Farías S, Hanson EJ, López-Olivari R, Mora ML (2016) Pre-harvest regulated deficit irrigation management effects on post-harvest quality and condition of V. corymbosum fruits cv. Brigitta. Sci Hortic 207:152–159CrossRefGoogle Scholar
  23. Luna-Flores W, Estrada-Medina H, Morales-Maldonado E, Álvarez-Rivera O (2015) Plant stress by water deficit: a review. Chilean J Agric Anim Sci, ex Agro-Ciencia 30:61–69Google Scholar
  24. Marquez D, Faúndez C, Aballay E, Haberland J, Kremer C (2017) Assessing the vertical movement of a nematicide in a sandy loam soil and its correspondence using a numerical model (HYDRUS 1D). J Soil Sci Plant Nutr 17:167–179Google Scholar
  25. Masseroni D, Facchi A, Gandolfi C (2016) Is soil water potential a reliable variable for irrigation scheduling in the case of peach orchards? Soil Sci 181:232–240CrossRefGoogle Scholar
  26. Peters A (2016) Modified conceptual model for compensated root water uptake - a simulation study. J Hydrol 534:1–10CrossRefGoogle Scholar
  27. Qin H, Peng Y, Tang Q, Yu S (2016) A HYDRUS model for irrigation management of green roofs with a water storage layer. Ecol Eng 95:399–408CrossRefGoogle Scholar
  28. Richards LA (1931) Capillary conduction of fluid through porous médiums. Physics 1:318–333CrossRefGoogle Scholar
  29. Salvo S, Muñoz C, Ávila J, Bustos J, Cariaga E, Silva C, Vivallo G (2011) Sensitivity in the estimation of parameters fitted by simple linear regression models in the ratio of blueberry buds to fruits in Chile using percentage counting. Sci Hortic 130(2):404–409CrossRefGoogle Scholar
  30. Šimůnek J, Hopmans JW (2009) Modeling compensated root water and nutrient uptake. Ecol Model 220:505–521CrossRefGoogle Scholar
  31. Šimůnek J, Šejna M, Saito H, Sakai M, van Genuchten MT (2008) The HYDRUS-1D software package for simulating the movement of water, heat, and multiple solutes in variably saturated media, Version 4.0, HYDRUS Software Series 3. Department of Environmental Sciences, University of California Riverside, Riverside, p 315Google Scholar
  32. Singh P (2008) Modeling crop production systems: principles and application, 1st edn. Routledge Ltd., AbingdonGoogle Scholar
  33. Sperry JS, Donnelly JR, Tyree MT (1988) A method for measuring hydraulic conductivity and embolism in xylem. Plant Cell Environ 11:35–40CrossRefGoogle Scholar
  34. Spiers JM (1983) Irrigation and peatmoss for the establishment of rabbiteye blueberries. Hortscience 18:936–937Google Scholar
  35. Spiers JM (1986) Root distribution of ‘Tifblue’ rabbiteye blueberry as influenced by irrigation, incorporated peatmoss, and mulch. J Am Soc Hortic Sci 111:877–880Google Scholar
  36. Teh C (2006) Introduction to mathematical modeling of crop growth: how the equations are derived and assembled into a computer program. Brown Walker Press, Boca RatonGoogle Scholar
  37. Valenzuela-Estrada LR, Richards JH, Diaz A, Eissensat DM (2009) Patterns of nocturnal rehydration in root tissues of Vaccinium corymbosum L. under severe drought conditions. J Exp Bot 60:1241–1247CrossRefGoogle Scholar
  38. Vargas O, Bryla D, Weiland J, Strik B, Sun L (2015) Irrigation and fertigation with drip and alternative micro irrigation systems in northern highbush blueberry. Hortscience 50:897–903CrossRefGoogle Scholar

Copyright information

© Sociedad Chilena de la Ciencia del Suelo 2019

Authors and Affiliations

  • Emilio Cariaga
    • 1
    Email author
  • Leonardo Vásquez
    • 1
  • Jorge Jerez
    • 2
  • Claudio Inostroza-Blancheteau
    • 3
  1. 1.Departamento de Ciencias Matemáticas y FísicasUniversidad Católica de TemucoTemucoChile
  2. 2.Facultad TécnicaUniversidad Católica de TemucoTemucoChile
  3. 3.Facultad de Recursos Naturales, Escuela de Agronomía, Núcleo de Investigación en Producción AlimentariaUniversidad Católica de TemucoTemucoChile

Personalised recommendations