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Determination of irrigation scheduling thresholds based on HYDRUS-1D simulations of field capacity for multilayered agronomic soils in Alabama, USA

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  • Lena, Bruno Patias
  • Bondesan, Luca
  • Pinheiro, Everton Alves Rodrigues
  • Ortiz, Brenda V.
  • Morata, Guilherme Trimer
  • Kumar, Hemendra

Abstract

The use of soil matric potential (ψ) sensors to support irrigation decisions has become common practice among many producers. However, ψ values at which irrigation should be initiated (ψlim) based on a pre-defined irrigation depth is still lacking. The main objectives of this study were: (i) evaluate the impact of different negligible drainage flux on estimated ψ at field capacity (ψfc) using HYDRUS 1D simulations; (ii) identify ψlim values and its corresponded irrigation depth under different soil profile depth at representative soil types in Northwest and Southeast Alabama. The ψ-θ relation at field capacity (ψfc and θfc, respectively) were estimated by a numerical internal drainage flux experiment for multilayered soils using HYDRUS-1D software simulations. Among the different negligible drainage fluxes (qfc) tested, a qfc value of 0.01 and 0.025 cm d−1 yielded the best results for the soil located at Northwest and Southeast Alabama, respectively. For a soil water depletion of 35% and a soil profile depth of 0.6 m, the ψlim ranged from − 103 to − 133 kPa for the soils located at Northwest Alabama and − 38 to − 51 kPa for soils located in Southeast Alabama. It returned an irrigation depth varying from 20 to 24 mm for Northwest Alabama soils and 15–33 mm for Southeast Alabama soils. For a same irrigation depth, it was observed that the ψlim increased (became less negative) as soil profile depth considered for irrigation calculations increased. Additionally, if the same pre-defined irrigation depth is used during the entire growing season, there is a high change that plants could be under stress due to the high level of water deficit. Using the same irrigation depth during the entire crop growth season could be a flawed irrigation management strategy; therefore, irrigation depth should dynamically change over the growth season as the plant roots reach deeper soil layers.

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  • Lena, Bruno Patias & Bondesan, Luca & Pinheiro, Everton Alves Rodrigues & Ortiz, Brenda V. & Morata, Guilherme Trimer & Kumar, Hemendra, 2022. "Determination of irrigation scheduling thresholds based on HYDRUS-1D simulations of field capacity for multilayered agronomic soils in Alabama, USA," Agricultural Water Management, Elsevier, vol. 259(C).
    • Handle: RePEc:eee:agiwat:v:259:y:2022:i:c:s0378377421005114
    DOI: 10.1016/j.agwat.2021.107234
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    1. Zhongwei Liang & Tao Zou & Yupeng Zhang & Jinrui Xiao & Xiaochu Liu, 2022. "Sprinkler Drip Infiltration Quality Prediction for Moisture Space Distribution Using RSAE-NPSO," Agriculture, MDPI, vol. 12(5), pages 1-32, May.
    2. Kumar, Hemendra & Srivastava, Puneet & Lamba, Jasmeet & Diamantopoulos, Efstathios & Ortiz, Brenda & Morata, Guilherme & Takhellambam, Bijoychandra & Bondesan, Luca, 2022. "Site-specific irrigation scheduling using one-layer soil hydraulic properties and inverse modeling," Agricultural Water Management, Elsevier, vol. 273(C).
    3. Kumar, Hemendra & Srivastava, Puneet & Lamba, Jasmeet & Lena, Bruno & Diamantopoulos, Efstathios & Ortiz, Brenda & Takhellambam, Bijoychandra & Morata, Guilherme & Bondesan, Luca, 2023. "A methodology to optimize site-specific field capacity and irrigation thresholds," Agricultural Water Management, Elsevier, vol. 286(C).

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