Water and Nitrogen Dynamics in Drip Fertigated Tomato for Water of Different Qualities under Polyhouse Conditions

Authors

  • Ketan Chawla Punjab Agricultural University, Ludhiana-141004, Punjab, India Author
  • Sanjay Satpute Punjab Agricultural University, Ludhiana-141004, Punjab, India Author
  • Sudhir Thaman Punjab Agricultural University, Bathinda-151005, Punjab, India Author
  • Karamjit Singh Sekhon Punjab Agricultural University, Ludhiana-141004, Punjab, India Author
  • Naveen Garg Punjab Agricultural University, Bathinda-151005, Punjab, India Author
  • Rakesh Sharda Punjab Agricultural University, Ludhiana-141004, Punjab, India Author
  • Om Parkash Choudhary Punjab Agricultural University, Ludhiana-141004, Punjab, India Author

DOI:

https://doi.org/10.52151/jae2023603.1825

Keywords:

Desalinated water, drip fertigation, HYDRUS-2D, polyhouse, tomato, water, NO3 -N dynamics

Abstract

Water and NO3-N dynamics in the soil during the growing season is an important tool in improving the nitrogen management and environmental protection. HYDRUS-2D has been widely used to predict the water and NO3-N distribution in the soil. The objective of this study was to simulate the water and NO3-N distribution in the soil under drip fertigated tomato irrigated with different water qualities under polyhouse conditions. Field data were collected on spatial and temporal distribution of water and available NO3-N during growing season. The model was calibrated for the hydraulic conductivity and parameters were used for the validation of the model. The model performance in simulating the water and NO3-N was evaluated by using coefficient of determination (R2), root mean square error (RMSE), index of agreement and Nash–Sutcliffe model efficiency (NSE). For both calibration and validation, the higher values of R2 from 0.70 to 0.99 for water distribution and 0.70 to 0.96 for NO3-N distribution showed that observed and predicted values are highly correlated. The value of RMSE ranges from 0.004 to 0.0016 for water and 0.002-0.006 for NO3-N distribution. The index of agreement value varied from 0.86-0.98 for water distribution and 0.89-0.99 for NO3-N distribution. The values of NSE (nearer to 1) i.e. 0.17 to 0.98 for water distribution and -0.09 to 0.94 for NO3-N distribution show that HYDRUS-2D was predicting with good accuracy. From these results, it can be concluded that the model performs well for predicting the water and NO3-N distribution in the tomato crop irrigated with different water qualities under polyhouse conditions.

References

Allen R G; Pereira L S; Raes D; Smith M. 1998. Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements-FAO Irrigation and Drainage Paper 56. FAO, Rome, pp: 300. ISBN 92-5-104219-5

Anon. 2021. Package of Practices for Cultivation of Vegetables. Punjab Agricultural University, Ludhiana, 33-41.

Arraes F D D; de Miranda J H; Duarte S N. 2019. Modelling soil water redistribution under surface drip irrigation. Engenharia Agrícola, 39(1), 55-64. https://doi.org/10.1590/1809-4430-Eng.Agric.v39n1p55-64/2019

Badr M A; Ali E; Salman S R. 2023. Effect of Nitrogen Application and Fertigation Scheduling On Potato Yield Performance Under Drip Irrigation System. Gesunde Pflanzen (Online) https://doi.org/10.1007/s10343-023-00871-y

Bear J. 1972. Dynamics of Fluids in Porous Media. American Elsevier Publishing Company, Inc, New York, pp: 757. ISBN 0-486-65675-6

Awaad H A; Mansour E; Akrami M; Fath H E S; Javadi A A; Negm A. 2020. Availability and Feasibility of Water Desalination as a Non-Conventional Resource for Agricultural Irrigation in the MENA Region: A Review. Sustainability, 12, 7592. https://doi.org/10.3390/su12187592

Ebrahimian H; Liaghat A; Parsinejad M; Playan E; Abbasi F; Navabian M. 2013. Simulation of 1D surface and 2D subsurface water flow and nitrate transport in alternate and conventional furrow fertigation. Irrig. Sci., 31(3), 301-316. https://doi.org/10.1007/s00271-011-0303-3

Elasbah R; Selim T; Mirdan A; Berndtsson R. 2019. Modeling of Fertilizer Transport for Various Fertigation Scenarios under Drip Irrigation. Water, 11, 893. https://doi.org/10.3390/w11050893

Elmaloglou S; Soulis K X; Dercas N. 2013. Simulation of Soil Water Dynamics Under Surface Drip Irrigation from Equidistant Line Sources. Water Resour. Manage., 27, 4131-4148. https://doi.org/10.1007/s11269-013-0399-8

Feddes R A; Kowalik P J; Zaradny H. 1978. Simulation of Field Water Use and Crop Yield. In: Simulation Monographs, Pudoc, Centre for Publishing and Documentation, Wageningen, Netherlands, pp: 189. ISBN: 9789022008096.

Filipovic V; Romic D; Romic M; Borosi J; Filipovic L; Mallmannc F J K; Robinson D A. 2016. Plastic mulch and nitrogen fertigation in growing vegetables modify soil temperature, water and nitrate dynamics: Experimental results and a modeling study. Agric. Water Manage., 176, 100-110. https://doi.org/10.1016/j.agwat.2016.04.020

Geng L; Li L; Li W; Yang C F; Meng F J. 2022. HYDRUS-2D simulations of water movement in a drip irrigation system under soilless substrate. Int. J. Agric. Biol. Eng., 15(3), 210–216. DOI: 10.25165/j.ijabe.20221503.6951

Ghazouani H; Autovino D; Rallo G; Douh B; Provenzano G. 2015. Using HYDRUS-2D model to assess the optimal drip lateral depth for eggplant crop in a sandy loam soil of central Tunisia. Italian J. Agrometorol., 6, 47-58. DOI: 10.19199/2016.1.2038- 5625.047

Han M; Zhao C; Feng G; Yan Y; Sheng Y. 2015. Evaluating the effects of mulch and irrigation amount on soil water distribution and root zone water balance using HYDRUS-2D. Water, 7, 2622-2640. https://doi.org/10.3390/w7062622

Hemalatha S; Maragatham S; Radhika K; Kathrine P S. 2013. Fertigation for crops and nitrogen fertigation for sugarcane: A review. J. Agric. Allied Sci., 2, 5-11. ISSN: 2319-9857

Li X; Shi H; Simunek J; Gong X; Peng Z. 2015. Modeling soil water dynamics in a dripirrigated intercropping field under plastic mulch. Irrig. Sci., 33, 289-302. https://doi.org/10.1007/s00271-015-0466-4

Morillo J G; Díaz J A R; Camacho E; Montesinos P. 2017. Drip irrigation scheduling using Hydrus 2-D numerical model application for strawberry production in south-west Spain. Irrig. Drain., 66(5), 797–807. https://doi.org/10.1002/ird.2177

Phogat V; Skewes M A; Cox J W; Simunek J. 2016. Statistical assessment of a numerical model simulating agro hydrochemical processes in soil under drip fertigated mandarin tree. Irrig. Drain. Syst. Eng., 5, 1-9. http://dx.doi.org/10.4172/2168-9768.1000155

Satpute S T; Singh Man; Khanna M; Singh D K. 2015. Modeling of nutrient leaching from crop root zone of onion under drip fertigation. J. Agric. Eng., 52(4), 50-58. https://pub.isae.in/index.php/jae/article/ view/365

Saxena C K; Gupta S K; Purohit R C; Bhaka S R; Upadhyay B. 2013. Performance of okra under drip irrigation with saline water. J. Agric. Eng., 50(4), 72-75. https://pub.isae.in/index.php/jae/article/view/610

Silber A; Israeli; Elingold I; Levi M; Levkovitch I; Russo D; Assouline S. 2015. Irrigation with desalinated water: A step toward increasing water saving and crop yields. Water Resour. Res., 51, 450-464. https://doi.org/10.1002/2014WR016398

Simunek J; Sejna M; Van Genuchten M T. 1999. The HYDRUS-2D Software Package for Simulating the Two-dimensional Movement of Water, Heat and Multiple Solute in Variably-saturated Media. International Groundwater Modelling Centre, Colorado School of Mines, Golden, pp: 255.

Subbiah B V; Asija G L. 1956. A rapid procedure for the estimation of available nitrogen in soil. Curr. Sci., 25, 259-260.

Tenreiro T R; García-Vila M; Gómez J A; Jimenez- Berni J A; Fereres E. 2020. Water modelling approaches and opportunities to simulate spatial water variations at crop field level. Agric Water Manage., 240, 106254, https://doi.org/10.1016/j.agwat.2020.106254

Vishwakarma D K; Kumar R; Abed S A et al. 2023. Modeling of soil moisture movement and wetting behavior under point-source trickle irrigation. Sci. Rep., 13, 14981. https://doi.org/10.1038/s41598-023- 41435-4

Wang Z; Li J; Li Y. 2014. Simulation of nitrate leaching under varying drip system uniformities and precipitation patterns during the growing season of maize in the North China Plain. Agric. Water Manage., 142, 19-28. https://doi.org/10.1016/j.agwat.2014.04.013

Published

2023-12-30

Issue

Section

Regular Issue

How to Cite

Ketan Chawla, Sanjay Satpute, Sudhir Thaman, Karamjit Singh Sekhon, Naveen Garg, Rakesh Sharda, & Om Parkash Choudhary. (2023). Water and Nitrogen Dynamics in Drip Fertigated Tomato for Water of Different Qualities under Polyhouse Conditions. Journal of Agricultural Engineering (India), 60(4), 432-444. https://doi.org/10.52151/jae2023603.1825