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Monitoring and Investigating the Change Patterns of Major Growth Parameters of Almond (Badam) Trees under Different Irrigation Conditions

文献类型： 外文期刊

作者： Yang, Huimin 1 ; San, Yunlong 3 ; Chen, Yifei 1 ; Ma, Yan 1 ; Wang, Xuenong 1 ; Shoukat, Muhammad Rizwan 4 ; Zheng, Yudong 4 ; Hui, Xin 4 ;

作者机构： 1.Xinjiang Acad Agr Sci, Agr Mechanizat Inst, Urumqi 830091, Peoples R China

2.Minist Agr & Rural Affairs, Sci Observat & Expt Stn Forest Fruit & Cotton Equi, Urumqi 830091, Peoples R China

3.Hubei Engn Univ, Sch Mech Engn, Xiaogan 432000, Peoples R China

4.China Agr Univ, Coll Water Conservancy & Civil Engn, Beijing 100193, Peoples R China

关键词： almond (Badam); irrigation conditions; soil moisture; canopy temperature; trunk diameter; fruit diameter

期刊名称：WATER （ 影响因子：3.4； 五年影响因子：3.5 ）

ISSN：

年卷期： 2023 年 15 卷 21 期

页码：

收录情况： SCI

摘要： Knowledge of the response of growth parameters of almond (Badam) trees to different water supply conditions is important for Badam production. To identify growth parameters that are sensitive to water deficit in almond trees, field experiments were conducted during a median water year to monitor the major growth characteristics of almond trees under different irrigation conditions in Shache County, Xinjiang, China. A field (in-situ) monitoring system was also constructed using various sensors for the continuous and non-destructive monitoring of the growth parameters, such as soil water in the root zone, canopy temperature depression, trunk diameter, and fruit diameter of almond trees. The results confirmed the reliability of the monitoring system. Both canopy temperature depression and the diameter shrinkage of the trunk and fruit were significantly negatively correlated (r values ranging from -0.996 to -0.823) with the irrigation water quantity. This correlation was observed from the young fruit stage to the maturation stage of almond trees, under irrigation conditions representing 50-100% of crop evapotranspiration (ETc). These parameters were sensitive (|r| >= 0.778) to the water deficit status of almond trees from 14:00 to 18:00 in sunny weather. These results can provide both technical and theoretical support for real-time non-destructive assessment of the water deficit status of almond trees.

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