Evaluation of the Crop Water Stress Index as an Indicator for the Diagnosis of Grapevine Water Deficiency in Greenhouses

被引:47
|
作者
Ru, Chen [1 ]
Hu, Xiaotao [1 ]
Wang, Wene [1 ]
Ran, Hui [1 ]
Song, Tianyuan [1 ]
Guo, Yinyin [1 ]
机构
[1] Northwest A&F Univ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Minist Educ, Yangling 712100, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
crop water stress index; deficit irrigation; soil moisture; grapevine; plant water status index; growth index; CANOPY TEMPERATURE; INFRARED THERMOMETRY; IRRIGATION REGIMES; LEAF TEMPERATURE; DROUGHT; WHEAT; DRIP; EVAPOTRANSPIRATION; THERMOGRAPHY; THRESHOLD;
D O I
10.3390/horticulturae6040086
中图分类号
S6 [园艺];
学科分类号
0902 ;
摘要
Precise irrigation management of grapevines in greenhouses requires a reliable method to easily quantify and monitor the grapevine water status to enable effective manipulation of the water stress of the plants. This study evaluated the applicability of crop water stress index (CWSI) based on the leaf temperature for diagnosing the grapevine water status. The experiment was conducted at Yuhe Farm (northwest China), with drip-irrigated grapevines under three irrigation treatments. Meteorological factors, soil moisture contents, leaf temperature, growth indicators including canopy coverage and fruit diameter, and physiological indicators including SPAD (relative chlorophyll content), stem water potential (phi s), stomatal conductance (g(s)), and transpiration rate (E) were studied during the growing season. The results show that the relationship between the leaf-air temperature difference (T-c-T-a) and the plant water status indicators (phi s, g(s), E) were significant (P < 0.05), and the relationship between g(s), E and T-c-T-a was the closest, with R-2 values ranging from 0.530-0.604 and from 0.545-0.623, respectively. CWSI values are more easily observed on sunny days, and it was determined that 14:00 BJS is the best observation time for the CWSI value under different non-water-stressed baselines. There is a reliable linear correlation between the CWSI value and the soil moisture at 0-40 cm (P < 0.05), which could provide a reference when using the CWSI to diagnose the water status of plants. Compared with the T-c-T-a value, the CWSI could more accurately monitor the plant water status, and above the considered indictors, g(s) has the greatest correlation with the CWSI.
引用
收藏
页码:1 / 19
页数:19
相关论文
共 50 条
  • [11] Trunk diameter variations as water stress indicator in plum and grapevine
    Intrigliolo, D. S.
    Castel, J. R.
    PROCEEDINGS OF THE FIFTH INTERNATIONAL SYMPOSIUM ON IRRIGATION OF HORTICULTURAL CROPS, 2008, 792 : 363 - 369
  • [12] Crop reflectance monitoring as a tool for water stress detection in greenhouses: A review
    Katsoulas, Nilzolaos
    Elvanidi, Angeliki
    Ferentinos, Konstantinos P.
    Kacira, Murat
    Bartzanas, Thomas
    Kittas, Constantinos
    BIOSYSTEMS ENGINEERING, 2016, 151 : 374 - 398
  • [13] CANOPY TEMPERATURE AS A CROP WATER-STRESS INDICATOR
    JACKSON, RD
    IDSO, SB
    REGINATO, RJ
    PINTER, PJ
    WATER RESOURCES RESEARCH, 1981, 17 (04) : 1133 - 1138
  • [14] A REEXAMINATION OF THE CROP WATER-STRESS INDEX
    JACKSON, RD
    KUSTAS, WP
    CHOUDHURY, BJ
    IRRIGATION SCIENCE, 1988, 9 (04) : 309 - 317
  • [15] Developing a Crop Water Stress Index in Cranberry
    Jeranyama, Peter
    Waddell, Jed
    Gilmore, Revel
    DeMoranville, Carolyn
    HORTSCIENCE, 2009, 44 (03) : 548 - 549
  • [16] The mean value of gaussian distribution of excess green index: A new crop water stress indicator
    Zhang, Liyuan
    Zhang, Huihui
    Han, Wenting
    Niu, Yaxiao
    Chávez, José L.
    Ma, Weitong
    Agricultural Water Management, 2021, 251
  • [17] Crop Water Stress Index for Scheduling Irrigation of Wheat Crop
    Dwivedi, Anuj Kumar
    Ojha, C. S. P.
    Singh, Vijay P.
    JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 2024, 150 (03)
  • [18] The mean value of gaussian distribution of excess green index: A new crop water stress indicator
    Zhang, Liyuan
    Zhang, Huihui
    Han, Wenting
    Niu, Yaxiao
    Chavez, Jose L.
    Ma, Weitong
    AGRICULTURAL WATER MANAGEMENT, 2021, 251
  • [19] CROP WATER-STRESS INDEX RELATIONSHIPS WITH CROP PRODUCTIVITY
    WANJURA, DF
    HATFIELD, JL
    UPCHURCH, DR
    IRRIGATION SCIENCE, 1990, 11 (02) : 93 - 99
  • [20] Evaluation of crop water stress index of wheat by using machine learning models
    Yadav, Aditi
    Narakala, Likith Muni
    Upreti, Hitesh
    Das Singhal, Gopal
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2024, 196 (10)