Continuous monitoring of the tree water status will enhance irrigation performance, particularly when applying deficit schedules. The olive tree is a highly drought-resistant species and management of the water stress could increase water savings. Trunk diameter fluctuations can be displayed as daily curves representing the shrinkage and swelling, and can provide information about tree water status. In olive trees, trunk growth rate (TGR) is the most useful indicator, but the daily variability reduced the commercial applications. Recently, weekly frequencies of TGR values were associated to the water status in one seasonal experiment. The aim of this work is to study the seasonal pattern and the interannual variations of these parameters in order to integrate them in an irrigation scheduling tool. The experiment was performed during two consecutive seasons (2018 and 2019) in a superhigh density mature olive orchard at Carmona (Seville, Spain). Three different irrigation scheduling treatments were considered in a randomized complete block design. The control treatment was fully irrigated with 150–175% crop evapotranspiration (ETc) in order to ensure an optimum water status. Regulated deficit irrigation-1 (RDI-1) was scheduled using only TGR data provided through the continuous measurements from a dendrometer. In this treatment, water stress conditions were controlled during the pit hardening period. RDI-2 was similar to RDI-1, but with a more severe water stress conditions during pit hardening and a maximum seasonal amount of water that limited rehydration. Water stress was greater during the 2019 season than the 2018 season, according to the midday stem water potential (SWP). Weekly frequencies of TGR values lower than −0.3 mm day⁻¹ (Severe FR) and values between −0.1 and 0.3 mm day⁻¹ (Good FR) described the water status pattern in the three treatments for both seasons. Only under severe water stress conditions (SWP more negative than −4 MPa) the values of these frequencies did not identify accurately the water status. However, the use of weekly frequencies of values greater than 0.3 mm day⁻¹ (Alert FR) and the pattern of these Severe FR and Good FR themselves identified such conditions. The use of these three weekly frequencies (Severe, Good and Alert (SGA) approach) are suggested for continuous deficit irrigation scheduling in olive trees.

持续监测树木的水状况将提高灌溉性能，尤其是在采用缺水时间表时。橄榄树是高度抗旱的树种，对水分胁迫的管理可以提高节水能力。树干直径的波动可以显示为代表收缩和膨胀的日曲线，并且可以提供有关树木水状态的信息。在橄榄树中，树干生长率（TGR）是最有用的指标，但是每天的变化减少了商业应用。最近，在一个季节性实验中，每周TGR值的频率与水的状况相关。这项工作的目的是研究这些参数的季节模式和年际变化，以便将它们整合到灌溉计划工具中。该实验在卡莫纳（西班牙塞维利亚）的超高密度成熟橄榄园中连续两个季节（2018和2019）中进行。在随机完整区组设计中考虑了三种不同的灌溉计划处理方法。为确保最佳水质，对照处理完全灌溉了150-175％的作物蒸散量（ETc）。仅使用通过树状仪连续测量提供的TGR数据来调度调亏灌溉1（RDI-1）。在这种处理中，在坑硬化期间控制了水分胁迫条件。RDI-2与RDI-1类似，但在坑硬化期间存在更严重的水分胁迫条件，并且季节性水分最多，限制了补液。2019年的水分胁迫比2018年的水分胁迫更大，根据中午茎水势（SWP）。TGR值的每周频率低于每天-0.3毫米^-1（严重FR）和介于-0.1到0.3 mm日之间的值^-1（良好FR）描述了两个季节的三种处理中的水状态模式。仅在严重的水分胁迫条件下（SWP大于-4 MPa负值），这些频率的值才不能准确识别出水的状态。但是，使用每周频率值大于0.3 mm day ^-1的值（Alert FR）以及这些Severe FR和Good FR本身的模式可以确定这种情况。建议使用这三个每周频率（严重，良好和警报（SGA）方法）来对橄榄树进行连续的亏缺灌溉计划。