Article ID Journal Published Year Pages File Type
4478296 Agricultural Water Management 2016 11 Pages PDF
Abstract

•Subsurface system (SUB) increased water use efficiency in lemon trees.•SUB altered trunk daily fluctuations compared with the surface system (SUR).•SUB reduced the sensitivity of MDS to changes in plant water status.•Reference baselines based on environmental variables had similar ability to predict MDS in SUR and SUB.

The aim of this work was to assess the suitability of using trunk diameter fluctuations for irrigation scheduling in a subsurface drip irrigation system in adult lemon trees. The experiment was carried out over two consecutive years in an experimental orchard located in Torre Pacheco (Murcia, Spain) in 18-year-old ‘Fino 49’ lemon trees (Citrus limon (L.) Burm. fil.) grafted on Citrus macrophylla Wester. Well-watered trees were maintained with surface (SUR) and subsurface (SUB) drip irrigation systems by applying irrigation water independently, maintaining in both systems the soil water content of the root zone at ≈80% of the amount of water available and the midday stem water potential (Ψstem) > −1.3 MPa. Following these criterias for irrigation scheduling, the use of the SUB system increased the water use efficiency in lemon trees, due to an irrigation water saving of 19% without the yield being affected. However, the SUB system induced different trunk growth dynamics, which produced different reference equations for the maximum daily trunk shrinkage (MDS) and Ψstem. In spite of this, the prediction power of MDS was similar for both systems. In both cases, the environmental variable that best correlated with Ψstem and MDS was the daily mean air temperature. Thus, based on these results, MDS measurements can be suitable for adjusting the irrigation scheduling of lemon trees, but differences found between irrigation systems in the MDS reference baselines highlight the necessity of determining the baselines for each irrigation system.

Related Topics
Life Sciences Agricultural and Biological Sciences Agronomy and Crop Science
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