Determination of Water Stress in Wheat Crops by Thermal Images Under Mediterranean Conditions

被引:5
作者
Kurunc, A. [1 ]
Tezcan, N. Y. [1 ,2 ]
Bimurzayev, N. [1 ]
机构
[1] Akdeniz Univ, Fac Agr, Dept Agr Struct & Irrigat, Antalya, Turkiye
[2] Akdeniz Univ, Fac Agr, Dept Agr Struct & Irrigat, TR-07070 Antalya, Turkiye
关键词
Irrigation; plant leaf temperature; thermal imager; water stress; wheat; PHYSIOLOGICAL TRAITS; CANOPY TEMPERATURE; USE EFFICIENCY; WINTER-WHEAT; IRRIGATION; PLANT; THERMOGRAPHY; DROUGHT; GROWTH; WUE;
D O I
10.1080/00103624.2023.2211089
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Canopy temperature is used as an indicator of plant water stress. In recent years, technological advances have allowed improved applications in agriculture from temperature sensors clamped on leaves to short-range remote-sensing, such as infrared thermometry and thermal imaging. There are many scientific studies on the use of thermal imaging to determine crop water stress; however, no study on wheat crops has been found in the literature. Therefore, this study aimed to determine the detectability of water stress in wheat by using thermal images. In the experiment, drainage-type, weighable lysimeters were used to make precise irrigations and obtain components of the water budget for calculating the plant water consumption. Wheat crops were grown under four different irrigation levels including no water stress as control (I-100), mild water stress (I-75), moderate water stress (I-50), and severe water stress (I-25). When the thermal images were examined, it can be seen that pre-irrigation images reflect water stress conditions better than post-irrigation. The warm color distribution was more evident under severe water stress, whereas cold colors were dominant under no water stress. During the experimental period, the plant leaf temperatures varied from 17.5 to 34.2 degrees C, while the spike temperatures ranged from 26.6 degrees C to 36.3 degrees C. The lowest plant leaf and spike temperature values were observed under control, whereas the highest values were obtained under severe water stress. It can be said that thermal cameras that provide fast and contactless data acquisition have the potential to be used in detecting water stress in wheat crops.
引用
收藏
页码:1713 / 1726
页数:14
相关论文
共 50 条
[21]   Impact of Irrigation Water Quantities and Soil Mulching on Pearl Millet Performance under Heat Stress Conditions [J].
Salem, Emad M. M. ;
Shoman, Hosam El-Din A. .
EGYPTIAN JOURNAL OF AGRONOMY, 2021, 43 (03) :333-345
[22]   Soya bean (Glycine maxL.) evapotranspiration under unlimited and water stress conditions as affected by weather [J].
Anda, Angela ;
Menyhart, Laszlo ;
Soos, Gabor ;
Simon, Brigitta .
JOURNAL OF AGRONOMY AND CROP SCIENCE, 2021, 207 (01) :12-19
[23]   Thermal imaging and passive reflectance sensing to estimate the water status and grain yield of wheat under different irrigation regimes [J].
Elsayed, Salah ;
Elhoweity, Mohamed ;
Ibrahim, Hazem H. ;
Dewir, Yaser Hassan ;
Migdadi, Hussein M. ;
Schmidhalter, Urs .
AGRICULTURAL WATER MANAGEMENT, 2017, 189 :98-110
[24]   Simulating the effects of zero tillage and crop residue retention on water relations and yield of wheat under rainfed semiarid Mediterranean conditions [J].
Sommer, R. ;
Piggin, C. ;
Haddad, A. ;
Hajdibo, A. ;
Hayek, P. ;
Khalil, Y. .
FIELD CROPS RESEARCH, 2012, 132 :40-52
[25]   Yield determination in winter wheat under different water regimes [J].
Thapa, Sushil ;
Xue, Qingwu ;
Jessup, Kirk E. ;
Rudd, Jackie C. ;
Liu, Shuyu ;
Marek, Thomas H. ;
Devkota, Ravindra N. ;
Baker, Jason A. ;
Baker, Shannon .
FIELD CROPS RESEARCH, 2019, 233 :80-87
[26]   CHARACTERIZATION OF BREAD WHEAT SEGREGATING POPULATIONS UNDER OPTIMUM IRRIGATION AND WATER STRESS CONDITIONS [J].
Swelam, D. A. ;
Salem, A. H. ;
Hassan, M. A. ;
Ali, M. M. A. .
SABRAO JOURNAL OF BREEDING AND GENETICS, 2022, 54 (02) :280-296
[27]   Physiological Traits Associated with Wheat Yield Potential and Performance under Water-Stress in a Mediterranean Environment [J].
del Pozo, Alejandro ;
Yanez, Alejandra ;
Matus, Ivaa A. ;
Tapia, Gerardo ;
Castillo, Dalma ;
Sanchez-Jardon, Laura ;
Araus, Jose L. .
FRONTIERS IN PLANT SCIENCE, 2016, 7
[28]   Combining Genetic Analysis and Multivariate Modeling to Evaluate Spectral Reflectance Indices as Indirect Selection Tools in Wheat Breeding under Water Deficit Stress Conditions [J].
El-Hendawy, Salah ;
Al-Suhaibani, Nasser ;
Al-Ashkar, Ibrahim ;
Alotaibi, Majed ;
Tahir, Muhammad Usman ;
Solieman, Talaat ;
Hassan, Wael M. .
REMOTE SENSING, 2020, 12 (09)
[29]   Effect of water supply regimes on physiological parameters and productivity in eggplant grown under mediterranean climate conditions [J].
Maachi, Dina ;
Toppino, Laura ;
Ezquer, Ignacio ;
Cebeci, Esra ;
Filiz, Boyaci Hatice ;
Rotino, Giuseppe Leonardo ;
Aberkani, Kamal .
PLANT BIOSYSTEMS, 2025,
[30]   Transcriptomics Analyses Reveal Wheat Responses to Drought Stress during Reproductive Stages under Field Conditions [J].
Ma, Jun ;
Li, Ruiqi ;
Wang, Hongguang ;
Li, Dongxiao ;
Wang, Xingyi ;
Zhang, Yuechen ;
Zhen, Wenchao ;
Duane, Huijun ;
Yan, Guijun ;
Li, Yanming .
FRONTIERS IN PLANT SCIENCE, 2017, 8