Crop water stress index is a sensitive water stress indicator in pistachio trees

被引:143
|
作者
Testi, L. [1 ]
Goldhamer, D. A. [2 ]
Iniesta, F. [1 ]
Salinas, M. [2 ]
机构
[1] Univ Cordoba, CSIC, Inst Agr Sostenible, E-14080 Cordoba, Spain
[2] Univ Calif, Kearney Agr Ctr, Dept Land Air & Water Resources, Parlier, CA 93648 USA
关键词
D O I
10.1007/s00271-008-0104-5
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Regulated deficit irrigation (RDI) strategies, often applied in tree crops, require precise monitoring methods of water stress. Crop water stress index (CWSI), based on canopy temperature measurements, has shown to be a good indicator of water deficits in field crops but has seldom been used in trees. CWSI was measured on a continuous basis in a Central California mature pistachio orchard, under full and deficit irrigation. Two treatments-control, returning the full evapotranspiration (ETc) and RDI-irrigated with 40% ETc during stage 2 of fruit grow (shell hardening). During stage 2, the canopy temperature-measured continuously with infrared thermometers (IRT)-of the RDI treatment was consistently higher than the control during the hours of active transpiration; the difference decreasing after irrigation. The non-water-stressed baseline (NWSB), obtained from clear-sky days canopy-air temperature differential and vapour pressure deficit (VPD) in the control treatment, showed a marked diurnal variation in the intercept, mainly explained by the variation in solar radiation. In contrast, the NWSB slope remained practically constant along the day. Diurnal evolution of calculated CWSI was stable and near zero in the control, but showed a clear rising diurnal trend in the RDI treatment, increasing as water stress increased around midday. The seasonal evolution of the CWSI detected large treatment differences throughout the RDI stress period. While the CWSI in the well-irrigated treatment rarely exceeded 0.2 throughout the season, RDI reached values of 0.8-0.9 near the end of the stress period. The CWSI responded to irrigation events along the whole season, and clearly detected mild water stress, suggesting extreme sensitivity to variations in tree water status. It correlated well with midday leaf water potential (LWP), but was more sensitive than LWP at mild stress levels. We conclude that the CWSI, obtained from continuous nadir-view measurements with IRTs, is a good and very sensitive indicator of water stress in pistachio. We recommend the use of canopy temperature measurements taken from 1200 to 1500 h, together with the following equation for the NWSB: (T-c-T-a) = -1.33.VPD + 2.44. Measurements of canopy temperature with VPD < 2 kPa are likely to generate significant errors in the CWSI calculation and should be avoided.
引用
收藏
页码:395 / 405
页数:11
相关论文
共 50 条
  • [21] QUANTIFYING WHEAT WATER-STRESS WITH THE CROP WATER-STRESS INDEX TO SCHEDULE IRRIGATIONS
    GARROT, DJ
    OTTMAN, MJ
    FANGMEIER, DD
    HUSMAN, SH
    AGRONOMY JOURNAL, 1994, 86 (01) : 195 - 199
  • [22] 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
  • [23] 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
  • [24] Canopy temperature variability as an indicator of crop water stress severity
    González-Dugo, MP
    Moran, MS
    Mateos, L
    Bryant, R
    IRRIGATION SCIENCE, 2006, 24 (04) : 233 - 240
  • [25] Empirical validation of the relationship between the crop water stress index and relative transpiration in almond trees
    Gonzalez-Dugo, V
    Testi, L.
    Villalobos, F. J.
    Lopez-Bernal, A.
    Orgaz, F.
    Zarco-Tejada, P. J.
    Fereres, E.
    AGRICULTURAL AND FOREST METEOROLOGY, 2020, 292
  • [26] SOYBEAN LEAFLET MOVEMENTS AS AN INDICATOR OF CROP WATER-STRESS
    OOSTERHUIS, DM
    WALKER, S
    EASTHAM, J
    CROP SCIENCE, 1985, 25 (06) : 1101 - 1106
  • [27] Canopy temperature variability as an indicator of crop water stress severity
    M. P. González-Dugo
    M. S. Moran
    L. Mateos
    R. Bryant
    Irrigation Science, 2006, 24 : 233 - 240
  • [28] Neural computing modelling of the crop water stress index
    Kumar, Navsal
    Adeloye, Adebayo J.
    Shankar, Vijay
    Rustum, Rabee
    AGRICULTURAL WATER MANAGEMENT, 2020, 239
  • [29] Developing a Data-Driven Model for Predicting Water Stress in Pistachio Trees
    Alizadeh, Azar
    Farajijalal, Mohsen
    Rezvani, Zeinab
    Toudeshki, Arash
    Ehsani, Reza
    15TH INTERNATIONAL CONGRESS ON AGRICULTURAL MECHANIZATION AND ENERGY IN AGRICULTURE, ANKAGENG 2023, 2024, 458 : 186 - 196
  • [30] Crop Water Stress Index as a Proxy of Phenotyping Maize Performance under Combined Water and Salt Stress
    Gu, Shujie
    Liao, Qi
    Gao, Shaoyu
    Kang, Shaozhong
    Du, Taisheng
    Ding, Risheng
    REMOTE SENSING, 2021, 13 (22)