Orginal Article |
|
|
|
|
Root length density distribution and associated soil water dynamics for tomato plants under furrow irrigation in a solar greenhouse |
Rangjian QIU1,2, Taisheng DU2,*(), Shaozhong KANG2 |
1 Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China 2 Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China |
|
|
Abstract Furrow irrigation is a traditional widely-used irrigation method in the world. Understanding the dynamics of soil water distribution is essential to developing effective furrow irrigation strategies, especially in water-limited regions. The objectives of this study are to analyze root length density distribution and to explore soil water dynamics by simulating soil water content using a HYDRUS-2D model with consideration of root water uptake for furrow irrigated tomato plants in a solar greenhouse in Northwest China. Soil water contents were also in-situ observed by the ECH2O sensors from 4 June to 19 June and from 21 June to 4 July, 2012. Results showed that the root length density of tomato plants was concentrated in the 0-50 cm soil layers, and radiated 0-18 cm toward the furrow and 0-30 cm along the bed axis. Soil water content values simulated by the HYDRUS-2D model agreed well with those observed by the ECH2O sensors, with regression coefficient of 0.988, coefficient of determination of 0.89, and index of agreement of 0.97. The HYDRUS-2D model with the calibrated parameters was then applied to explore the optimal irrigation scheduling. Infrequent irrigation with a large amount of water for each irrigation event could result in 10%-18% of the irrigation water losses. Thus we recommend high irrigation frequency with a low amount of water for each irrigation event in greenhouses for arid region. The maximum high irrigation amount and the suitable irrigation interval required to avoid plant water stress and drainage water were 34 mm and 6 days, respectively, for given daily average transpiration rate of 4.0 mm/d. To sum up, the HYDRUS-2D model with consideration of root water uptake can be used to improve irrigation scheduling for furrow irrigated tomato plants in greenhouses in arid regions.
|
Received: 06 February 2017
Published: 22 August 2017
|
Corresponding Authors:
|
|
|
[1] | Abbasi F, Feyen J, Van Genuchten M T.2004. Two-dimensional simulation of water flow and solute transport below furrows: model calibration and validation. Journal of Hydrology, 290(1-2): 63-79. | [2] | Crevoisier D, Popova Z, Mailhol J C, et al.2008. Assessment and simulation of water and nitrogen transfer under furrow irrigation. Agricultural Water Management, 95(4): 354-366. | [3] | Dexter A R.2004. Soil physical quality: part I. Theory, effects of soil texture, density, and organic matter, and effects on root growth. Geoderma, 120(3-4): 201-214. | [4] | Ebrahimian H, Liaghat A, Parsinejad M, et al.2012. Comparison of one- and two-dimensional models to simulate alternate and conventional furrow fertigation. Journal of Irrigation and Drainage Engineering, 138(10): 929-938. | [5] | Feddes R A, Kowalik P J, Zaradny H.1978. Simulation of Field Water Use and Crop Yield. New York: John Wiley and Sons, 189. | [6] | González M G, Ramos T B, Carlesso R, et al.2015. Modelling soil water dynamics of full and deficit drip irrigated maize cultivated under a rain shelter. Biosystems Engineering, 132: 1-18. | [7] | Harmanto, Salokhe V M, Babel M S, et al.2005. Water requirement of drip irrigated tomatoes grown in greenhouse in tropical environment. Agricultural Water Management, 71(3): 225-242. | [8] | He H B, Yang R, Wu L Q, et al.2016. The growth characteristics and yield potential of rice (Oryza sativa) under non-flooded irrigation in arid region. Annals of Applied Biology, 168(3): 337-356. | [9] | Iqbal S, Guber A K, Khan H Z.2016. Estimating nitrogen leaching losses after compost application in furrow irrigated soils of Pakistan using HYDRUS-2D software. Agricultural Water Management, 168: 85-95. | [10] | Machado R M, Do Rosário M, Oliveira G, et al.2003. Tomato root distribution, yield and fruit quality under subsurface drip irrigation. Plant and Soil, 255(1): 333-341. | [11] | Mailhol J, Ruelle P, Nemeth I.2001. Impact of fertilisation practices on nitrogen leaching under irrigation. Irrigation Science, 20(3): 139-147. | [12] | Martins J D, Rodrigues G C, Paredes P, et al.2013. Dual crop coefficients for maize in southern Brazil: model testing for sprinkler and drip irrigation and mulched soil. Biosystems Engineering, 115(3): 291-310. | [13] | Ning S R, Shi J C, Zuo Q, et al.2015. Generalization of the root length density distribution of cotton under film mulched drip irrigation. Field Crops Research, 177: 125-136. | [14] | Oliveira M D R G, Calado A M, Portas C A M.1996. Tomato root distribution under drip irrigation. Journal of the American Society for Horticultural Science, 121(4): 644-648. | [15] | Qiu R J, Kang S Z, Li F S, et al.2011. Energy partitioning and evapotranspiration of hot pepper grown in greenhouse with furrow and drip irrigation methods. Scientia Horticulturae, 129(4): 790-797. | [16] | Qiu R J, Song J J, Du T S, et al.2013. Response of evapotranspiration and yield to planting density of solar greenhouse grown tomato in Northwest China. Agricultural Water Management, 130: 44-51. | [17] | Qiu R J.2014. Water and heat dynamics and simulation in soil-plant system in greenhouse. PhD Dissertation. Beijing: China Agricultural University. (in Chinese) | [18] | Qiu R J, Du T S, Chen R Q.2015. Application of the dual crop coefficient model for estimating tomato evapotranspiration in greenhouse. Journal of Hydraulic Engineering, 46(6): 678-686. (in Chinese) | [19] | Schaap M G. 1999. Rosetta lite version 1.0. Predicting soil hydraulic parameters from basic data. In: U.S. Salinity Laboratory, USDA/ARS. Riverside, CA. | [20] | ?im?nek J, Van Genuchten M T, ?ejna M. 2006. User manual, version 1.0. The HYDRUS software package for simulating the two-and three-dimensional movement of water, heat, and multiple solutes in variably-saturated media. In: PC Progress, Prague, Czech Republic. | [21] | ?im?nek J, Hopmans J W.2009. Modeling compensated root water and nutrient uptake. Ecological Modelling, 220(4): 505-521. | [22] | Tafteh A, Sepaskhah A R.2012. Application of HYDRUS-1D model for simulating water and nitrate leaching from continuous and alternate furrow irrigated rapeseed and maize fields. Agricultural Water Management, 113: 19-29. | [23] | Van Genuchten M T.1980. A close-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Science Society of America Journal, 44(5): 892-898. | [24] | Van Genuchten M T, ?im?nek J, Leij F J, et al. 1998. RETC, version 6.0, code for quantifying the hydraulic functions of unsaturated soils. In: USDA-ARS, US Salinity Lab. Riverside, CA. | [25] | Vrugt J A, Hopmans J W, ?imunek J.2001a. Calibration of a two-dimensional root water uptake model. Soil Science Society of America Journal, 65(4): 1027-1037. | [26] | Vrugt J A, Van Wijk M T, Hopmans J W, et al.2001b. One-, two-, and three-dimensional root water uptake functions for transient modeling. Water Resources Research, 37(10): 2457-2470. | [27] | Wang Z Y, Liu Z X, Zhang Z K, et al.2009. Subsurface drip irrigation scheduling for cucumber (Cucumis sativus L.) grown in solar greenhouse based on 20 cm standard pan evaporation in Northeast China. Scientia Horticulturae, 123(1): 51-57. | [28] | Willmott C J.1981. On the validation of models. Physical Geography, 2(2): 184-194. | [29] | Willmott C J, Matsuura K.2005. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance. Climate Research, 30(1): 79-82. | [30] | Yao L M.2004. Study on root water uptake model of apple tree. MSc Thesis. Yangling: Northwest A&F University. (in Chinese) | [31] | Yuan B Z, Sun J, Nishiyama S.2004. Effect of drip irrigation on strawberry growth and yield inside a plastic greenhouse. Biosystems Engineering, 87(2): 237-245. | [32] | Zhang J X, Zhang X M, Shan Y Y, et al.2014. Numerical simulation on soil water infiltration for spring wheat under ridge furrow irrigation. Journal of Arid Land Resources and Environment, 28(6): 165-170. (in Chinese) | [33] | Zhang Y Y, Wu P T, Zhao X N, et al.2013. Simulation of soil water dynamics for uncropped ridges and furrows under irrigation conditions. Canadian Journal of Soil Science, 93(1): 85-98. | [34] | Zhou Q Y.2007. Experiment and simulation for soil water dynamics under alternate partial root-zone drip irrigation in vinery. PhD Dissertation. Beijing: China Agricultural University. (in Chinese) | [35] | Zhou Q Y, Kang S Z, Zhang L, et al.2007. Comparison of APRI and Hydrus-2D models to simulate soil water dynamics in a vineyard under alternate partial root zone drip irrigation. Plant and Soil, 291(1-2): 211-223. | [36] | Zotarelli L, Scholberg J M, Dukes M D, et al.2009. Tomato yield, biomass accumulation, root distribution and irrigation water use efficiency on a sandy soil, as affected by nitrogen rate and irrigation scheduling. Agricultural Water Management, 96(1): 23-34. | [37] | Zuo Q, Shi J C, Li Y L, et al.2006. Root length density and water uptake distributions of winter wheat under sub-irrigation. Plant and Soil, 285(1-2): 45-55. |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|