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Open AccessArticle

Assessing Hydrus-2D Model to Investigate the Effects of Different On-Farm Irrigation Strategies on Potato Crop under Subsurface Drip Irrigation

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Department of Plant Biotechnology, Higher Institute of Biotechnology of Beja, Avenue Habib Bourguiba, B.P: 382, Béja 9000, Tunisia
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Department of Agriculture, Food and Environment (DAFE), University of Pisa, Via del Borghetto 80, 56124 Pisa, Italy
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Unit of Sousse, Olive Institute, Ibn Khaldoun 14, Sousse 4061, Tunisia
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Department of Rural Engineering, High Agronomic Institute of Chott Mériem, Université de Sousse, BP 47, Chott Mériem Sousse 4042, Tunisia
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Department Agriculture, Food and Forest Sciences, Università degli Studi di Palermo, Viale delle Scienze 12, Ed.4, 90128 Palermo, Italy
*
Author to whom correspondence should be addressed.
Water 2019, 11(3), 540; https://doi.org/10.3390/w11030540
Received: 18 February 2019 / Revised: 28 February 2019 / Accepted: 11 March 2019 / Published: 15 March 2019
(This article belongs to the Section Water Use and Scarcity)
The objective of this paper was to assess the performance of Hydrus-2D model to simulate the effects of different on-farm irrigation strategies applied on potato crop. The ability of the model to simulate the stress coefficient (Ks), obtained as the ratio between actual and maximum transpiration, and to define the productive function of potato crop under the semi-arid conditions of central Tunisia were also evaluated. Experiments were carried out on potato crop under full (FI) and deficit irrigation (DI) and two different water qualities supplied by means of a subsurface drip irrigation system. Results evidenced that the model, despite some discrepancies locally observed, can fairly accurately predict soil water contents and electrical conductivity around buried emitters. Furthermore, under water and salt stress conditions, “measured” Ks, based on crop water stress index (CWSI) obtained on thermal images, resulted in a good correlation with the corresponding estimated by the model (R2 = 0.8). The database collected during the three growth seasons also allowed the definition of the crop productive function represented by a linear relationship between the relative yield loss and Ks. This function represents a useful guidelines for the sustainable use of irrigation water in countries characterized by a semi-arid climate and a limited availability of water for irrigation. View Full-Text
Keywords: Hydrus-2D; deficit irrigation; saline water; stress coefficient; CWSI; potato crop Hydrus-2D; deficit irrigation; saline water; stress coefficient; CWSI; potato crop
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MDPI and ACS Style

Ghazouani, H.; Rallo, G.; Mguidiche, A.; Latrech, B.; Douh, B.; Boujelben, A.; Provenzano, G. Assessing Hydrus-2D Model to Investigate the Effects of Different On-Farm Irrigation Strategies on Potato Crop under Subsurface Drip Irrigation. Water 2019, 11, 540. https://doi.org/10.3390/w11030540

AMA Style

Ghazouani H, Rallo G, Mguidiche A, Latrech B, Douh B, Boujelben A, Provenzano G. Assessing Hydrus-2D Model to Investigate the Effects of Different On-Farm Irrigation Strategies on Potato Crop under Subsurface Drip Irrigation. Water. 2019; 11(3):540. https://doi.org/10.3390/w11030540

Chicago/Turabian Style

Ghazouani, Hiba; Rallo, Giovanni; Mguidiche, Amel; Latrech, Basma; Douh, Boutheina; Boujelben, Abdelhamid; Provenzano, Giuseppe. 2019. "Assessing Hydrus-2D Model to Investigate the Effects of Different On-Farm Irrigation Strategies on Potato Crop under Subsurface Drip Irrigation" Water 11, no. 3: 540. https://doi.org/10.3390/w11030540

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